RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is looking to add a Principal Software Engineer to join our team on site in San Diego, CA, Palmdale, CA, El Segundo, CA or Oklahoma City, OK. The candidate should be a self-starter with familiarity working in an Integrated Product Team construct. This position will be part of the Models & Simulation team, participate in planning, integration, and delivery of software releases, and troubleshooting technical issues. Roles and Responsibilities will include: •Develop, implement, and maintain modular simulation and modeling software (e.g., C++, Python) to support system behaviors and scenarios. •Integrate simulation components with system interfaces, middle-ware, and test harnesses; ensure interoperable data flows and real-time performance. •Design and execute verification and validation tests, analyze results, identify defects, and implement fixes to ensure model fidelity and accuracy. •Optimize simulation performance and scalability; profile code, reduce latency, and support CI/CD pipelines for automated builds and deployments. •Collaborate with systems engineers, testers, and stakeholders to translate requirements into simulation scenarios, produce technical documentation, and support demonstrations. The selected candidate will be required to work full-time, on-site at our facility. There is no remote / hybrid / telework available for this position. Travel up to 10% may be required. Basic Qualifications: •Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 5 years of related engineering experience; OR a Master's degree in a STEM discipline and 3 years of related engineering experience; OR a PhD in a STEM discipline and 1 year of related engineering experience. •Demonstrated professional experience developing software in C/C++ •Demonstrated professional experience with software change control, and change management such as: Atlassian tool suite, GitHub, AND/OR GitLab •Demonstrated Professional Experience with the full Software Development Life Cycle (SDLC) •Active U.S. Government Top Secret clearance (with a background investigation within the past 5 years or enrolled into Continuous Evaluation). •Ability to obtain and maintain initial Special Access Program (SAP) access via a Program Access Request (PAR). This SAP/PAR must be obtained prior to commencement of employment and must be obtained within a reasonable amount of time as determined by the company to meet its business needs. •Ability to obtain and maintain subsequent SAP PARs following commencement of employment to be able to completely support statement of work. Preferred Qualifications: •Current applicable Special Access Program (SAP) clearance. •Demonstrated professional experience developing software in Python •Differentiating characteristics include demonstrated leadership, teamwork capabilities, excellent oral and written communications skills, and strong interpersonal communication skills at all levels of employees and management. •Demonstrated professional experience developing software Java •Experience with software network interfaces -and troubleshooting networks (TCP/IP, UDP, LAN, VLAN, SNMP or others). •Experience in safety critical embedded real time software on RTOS platforms •Demonstrated professional experience with static code analysis tools such as: Coverity, SonarQube, AND/OR Fortify Primary Level Salary Range: $93,300.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/25/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is looking to add a Principal Software Engineer to join our team on site in San Diego, CA, Palmdale, CA, El Segundo, CA or Oklahoma City, OK. The candidate should be a self-starter with familiarity working in an Integrated Product Team construct. This position will be part of the Models & Simulation team, participate in planning, integration, and delivery of software releases, and troubleshooting technical issues. Roles and Responsibilities will include: •Develop, implement, and maintain modular simulation and modeling software (e.g., C++, Python) to support system behaviors and scenarios. •Integrate simulation components with system interfaces, middle-ware, and test harnesses; ensure interoperable data flows and real-time performance. •Design and execute verification and validation tests, analyze results, identify defects, and implement fixes to ensure model fidelity and accuracy. •Optimize simulation performance and scalability; profile code, reduce latency, and support CI/CD pipelines for automated builds and deployments. •Collaborate with systems engineers, testers, and stakeholders to translate requirements into simulation scenarios, produce technical documentation, and support demonstrations. The selected candidate will be required to work full-time, on-site at our facility. There is no remote / hybrid / telework available for this position. Travel up to 10% may be required. Basic Qualifications: •Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 5 years of related engineering experience; OR a Master's degree in a STEM discipline and 3 years of related engineering experience; OR a PhD in a STEM discipline and 1 year of related engineering experience. •Demonstrated professional experience developing software in C/C++ •Demonstrated professional experience with software change control, and change management such as: Atlassian tool suite, GitHub, AND/OR GitLab •Demonstrated Professional Experience with the full Software Development Life Cycle (SDLC) •Active U.S. Government Top Secret clearance (with a background investigation within the past 5 years or enrolled into Continuous Evaluation). •Ability to obtain and maintain initial Special Access Program (SAP) access via a Program Access Request (PAR). This SAP/PAR must be obtained prior to commencement of employment and must be obtained within a reasonable amount of time as determined by the company to meet its business needs. •Ability to obtain and maintain subsequent SAP PARs following commencement of employment to be able to completely support statement of work. Preferred Qualifications: •Current applicable Special Access Program (SAP) clearance. •Demonstrated professional experience developing software in Python •Differentiating characteristics include demonstrated leadership, teamwork capabilities, excellent oral and written communications skills, and strong interpersonal communication skills at all levels of employees and management. •Demonstrated professional experience developing software Java •Experience with software network interfaces -and troubleshooting networks (TCP/IP, UDP, LAN, VLAN, SNMP or others). •Experience in safety critical embedded real time software on RTOS platforms •Demonstrated professional experience with static code analysis tools such as: Coverity, SonarQube, AND/OR Fortify Primary Level Salary Range: $93,300.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
About Samsung Austin Semiconductor Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow. Come innovate with us! Position Summary In your role as a Network Strategy Engineer, you'll design, deploy, and sustain the semiconductor centric LAN, WAN, datacenter, and cloud networking fabric. They own every layer of the network stack-routers, firewalls, switches, VPN appliances, cabling, and associated hardware-delivering high availability, security, and scalability that support rigorous silicon fabrication and research workloads. You'll also provide technical leadership to the operations team, reviewing design, development, and implementation proposals to keep day to day activities in sync with long term strategy. They construct multi year and annual capacity budgets, balancing performance, cost, and risk across all platforms. Also, you'll continually evaluate emerging networking technologies and develop a forward looking roadmap that aligns evolving capabilities with business objectives, ensuring the organization remains poised for next generation innovation. Role and Responsibilities Here's What You'll Be Responsible For: Architect, plan, and maintain the semiconductor environment LAN, WAN, datacenter, and cloud infrastructures-including routers, firewalls, switches, VPN appliances, cabling, and related hardware. Provide technical oversight to the operation team on the design, development, and implementation of solution proposals. Develop multi year and annual capacity budgets for all platforms. Lead projects that expand, replace, or upgrade network infrastructure, hardware, and software. Define network requirements, establish architectural frameworks, and specify detailed designs and standards that align with business objectives. Investigate emerging technologies, evaluate their potential impact, and craft a long term technology roadmap. Skills and Qualifications Here's what you'll need: BS in Computer Science or Computer Engineering; MS in Computer Science or Computer Engineering preferred. Certification or advanced expertise in Cisco, Palo Alto, Arista, F5 / A10, and other networking technologies. A minimum of 8 years of experience designing, implementing, and supporting network infrastructure in complex environments. A solid understanding of networking protocols and concepts such as BGP, OSPF, EIGRP, STP, BGP, VPC, HSRP, VRRP, mLACP, MLag, VRF, PBR, IPv4 Subnetting, VSS, IGMP, PIM, Anycast-RP, MSDP, 802.1x, EAP-TLS, PEAP-MSCHAPv2, TACACS+, SYSLOG, QoS, Cisco IOS and NX-OS, EVPN, Vxlan. Experience in large-scale network design tailored for critical environments, high availability, low latency, and performance. The current base salary range for this role is between $70,480 - $179,090. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance. Total Rewards At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location. We offer a comprehensive benefits package, including: Medical, dental, and vision insurance Life insurance and 401(k) matching with immediate vesting Onsite café(s) and workout facilities Paid maternity and paternity leave Paid time off (PTO) + 2 personal holidays and 10 regular holidays Wellness incentives and MORE Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance. All positions at Samsung Austin Semiconductor are full-time on-site. U.S. Export Control This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization. Trade Secrets By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
09/25/2026
Full time
About Samsung Austin Semiconductor Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow. Come innovate with us! Position Summary In your role as a Network Strategy Engineer, you'll design, deploy, and sustain the semiconductor centric LAN, WAN, datacenter, and cloud networking fabric. They own every layer of the network stack-routers, firewalls, switches, VPN appliances, cabling, and associated hardware-delivering high availability, security, and scalability that support rigorous silicon fabrication and research workloads. You'll also provide technical leadership to the operations team, reviewing design, development, and implementation proposals to keep day to day activities in sync with long term strategy. They construct multi year and annual capacity budgets, balancing performance, cost, and risk across all platforms. Also, you'll continually evaluate emerging networking technologies and develop a forward looking roadmap that aligns evolving capabilities with business objectives, ensuring the organization remains poised for next generation innovation. Role and Responsibilities Here's What You'll Be Responsible For: Architect, plan, and maintain the semiconductor environment LAN, WAN, datacenter, and cloud infrastructures-including routers, firewalls, switches, VPN appliances, cabling, and related hardware. Provide technical oversight to the operation team on the design, development, and implementation of solution proposals. Develop multi year and annual capacity budgets for all platforms. Lead projects that expand, replace, or upgrade network infrastructure, hardware, and software. Define network requirements, establish architectural frameworks, and specify detailed designs and standards that align with business objectives. Investigate emerging technologies, evaluate their potential impact, and craft a long term technology roadmap. Skills and Qualifications Here's what you'll need: BS in Computer Science or Computer Engineering; MS in Computer Science or Computer Engineering preferred. Certification or advanced expertise in Cisco, Palo Alto, Arista, F5 / A10, and other networking technologies. A minimum of 8 years of experience designing, implementing, and supporting network infrastructure in complex environments. A solid understanding of networking protocols and concepts such as BGP, OSPF, EIGRP, STP, BGP, VPC, HSRP, VRRP, mLACP, MLag, VRF, PBR, IPv4 Subnetting, VSS, IGMP, PIM, Anycast-RP, MSDP, 802.1x, EAP-TLS, PEAP-MSCHAPv2, TACACS+, SYSLOG, QoS, Cisco IOS and NX-OS, EVPN, Vxlan. Experience in large-scale network design tailored for critical environments, high availability, low latency, and performance. The current base salary range for this role is between $70,480 - $179,090. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance. Total Rewards At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location. We offer a comprehensive benefits package, including: Medical, dental, and vision insurance Life insurance and 401(k) matching with immediate vesting Onsite café(s) and workout facilities Paid maternity and paternity leave Paid time off (PTO) + 2 personal holidays and 10 regular holidays Wellness incentives and MORE Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance. All positions at Samsung Austin Semiconductor are full-time on-site. U.S. Export Control This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization. Trade Secrets By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
Who We Are & Why Join Us Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries energy, mining, manufacturing, aerospace, defense, and logistics accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale. Cutting-Edge AI Innovation Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: About the Role As the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards - we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy. This is not digital AI. This is AI for operational reality - where latency, constraints, and failure have real-world consequences. Forward Deployed AI Engineers at Avathon are rewiring how the physical world operates. You will work directly with customers to take the hardest operational problems - multi-echelon supply chains, constrained production systems, global logistics networks - and turn them into continuously computing, AI-led systems. You will design, build, and deploy production-grade AI applications that operate across real-world infrastructure where decisions propagate across thousands of nodes in real time. Responsibilities This role operates with the intensity and ownership of a founder in the field: Own end-to-end delivery of high-stakes deployments in operational environments Design and implement Avathon's Computational Knowledge Graph (CKG) that unifies data, constraints, and decisioning - performing continuous computation across physical networks Replace static planning workflows with real-time, autonomous execution applications Work side-by-side with operators, planners, and key stakeholders to define problems and deliver solutions Push systems into production that directly control and influence real-world operations Drive product evolution by feeding field learnings back into Avathon's core platform Preferred Skills Experience building AI/ML applications in production Strong foundation in machine learning, optimization, and system design Exceptional inferencing skills on applying necessary models in the field Demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar Ability to reason complex, interconnected systems (supply chains, networks, infrastructure) Ability to move from problem to architecture to deployment without handoffs We Value We value engineers who build systems and tune industrial models Comfort operating in ambiguity, pressure, and high-stakes environments Willingness to work directly with customers and operate in real-world environments Travel to customer sites (up to 50%) Qualifications Bachelor's degree in Science, Technology, Engineering An active U.S. Government security clearance (preferred) Excellent problem-solving, critical thinking, and communication skills Must be authorized to work in the United States without current or future company sponsorship Compensation & Benefits California Base Salary Range: $130,000 - $180,000 USD (based on experience) Equity in the form of stock options Comprehensive health, dental, and vision coverage 401(k) participation Generous PTO and company holidays Ongoing learning and development opportunities Location: Reporting out of Avathon's HQ in Pleasanton (San Francisco Bay Area), California. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
09/25/2026
Full time
Who We Are & Why Join Us Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries energy, mining, manufacturing, aerospace, defense, and logistics accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale. Cutting-Edge AI Innovation Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: About the Role As the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards - we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy. This is not digital AI. This is AI for operational reality - where latency, constraints, and failure have real-world consequences. Forward Deployed AI Engineers at Avathon are rewiring how the physical world operates. You will work directly with customers to take the hardest operational problems - multi-echelon supply chains, constrained production systems, global logistics networks - and turn them into continuously computing, AI-led systems. You will design, build, and deploy production-grade AI applications that operate across real-world infrastructure where decisions propagate across thousands of nodes in real time. Responsibilities This role operates with the intensity and ownership of a founder in the field: Own end-to-end delivery of high-stakes deployments in operational environments Design and implement Avathon's Computational Knowledge Graph (CKG) that unifies data, constraints, and decisioning - performing continuous computation across physical networks Replace static planning workflows with real-time, autonomous execution applications Work side-by-side with operators, planners, and key stakeholders to define problems and deliver solutions Push systems into production that directly control and influence real-world operations Drive product evolution by feeding field learnings back into Avathon's core platform Preferred Skills Experience building AI/ML applications in production Strong foundation in machine learning, optimization, and system design Exceptional inferencing skills on applying necessary models in the field Demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar Ability to reason complex, interconnected systems (supply chains, networks, infrastructure) Ability to move from problem to architecture to deployment without handoffs We Value We value engineers who build systems and tune industrial models Comfort operating in ambiguity, pressure, and high-stakes environments Willingness to work directly with customers and operate in real-world environments Travel to customer sites (up to 50%) Qualifications Bachelor's degree in Science, Technology, Engineering An active U.S. Government security clearance (preferred) Excellent problem-solving, critical thinking, and communication skills Must be authorized to work in the United States without current or future company sponsorship Compensation & Benefits California Base Salary Range: $130,000 - $180,000 USD (based on experience) Equity in the form of stock options Comprehensive health, dental, and vision coverage 401(k) participation Generous PTO and company holidays Ongoing learning and development opportunities Location: Reporting out of Avathon's HQ in Pleasanton (San Francisco Bay Area), California. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
About Marvell Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The Technology and Solutions Architecture team is innovating at the intersection of hardware and software- Building co-optimized solutions for the most demanding AI data center challenges, reimagining the data- movement / storage / transformation / processing pipelines with purpose-built Marvell accelerators to advance next-generation AI infrastructure, and shaping open standards We are seeking an innovative AI Solutions Analyst to research, explore, and build co-optimized fabric-attached, shared, disaggregated, and multi-tier memory and storage solution architectures designed to meet the rapidly scaling memory and storage demands of XPU for increasingly data-centric workloads. You will work closely with architects, technologists, and product teams to influence research and development in cutting-edge forward-looking technologies in the disaggregated memory, storage, networking, and security domains. What You Can Expect Develop Next-Gen Solutions: Partner with hardware and software architects, technologists, and IC engineering teams to develop scalable, high-performance, cutting-edge AI/ML infrastructure. Foster Innovation: Spearhead advancements in accelerating AI/ML applications in heterogenous and disaggregated compute architectures, networking, storage, and security domains, focusing on emerging technologies such as CXL, UAL, UEC, low-latency transport protocols, and Post-Quantum Cryptography. Architect and Execute: Lead system architectural design and implement proof-of-concept solutions for diverse workloads, optimizing execution across distributed, heterogeneous memory, compute, and storage environments. Present innovative ideas and substantiated proof-points to senior management and CTOs. Represent in Standards Bodies: Advocate Marvell's leadership in industry standards bodies and working groups, shaping new standards and emerging technologies aligned with Marvell's strategic interests. Analyze Performance: Conduct advanced characterization and performance analysis of complex workloads, monitoring critical metrics such as response time, latency, and resource utilization. Build Simulation Environments: Create and refine simulation environments for large-scale setups and configurations, especially in the AI/ML domain. Document and Visualize Insights: Develop comprehensive documentation and data visualizations to support analysis and insights, leveraging tools like Python and related libraries. Stay at the Forefront: Keep abreast of the latest developments in generative AI and hardware data analysis, and propose innovative approaches to enhance device tuning and interoperability performance. What We're Looking For PhD or Master's degree in computer science and engineering, electrical engineering, or related field HW/SW co-design experience with proven expertise with GPUs, DPUs, FPGAs, or custom hardware accelerators Processor micro-architectures (preferably ARM), scalar and vector processing pipelines, techniques to optimize memory bound applications Deep understanding of memory or storage subsystems, disaggregated memory for accelerators, cluster level shared memory approaches, NVMeoF Familiarity with coherent / non-coherent interconnects, like CXL, UAL, NVLink, and multi-GPU / multi-node communication mechanisms and optimization techniques like SHARP and NCCL Proficiency in performance benchmarking of AI data processing workloads, system profiling and analyzing end-to-end flows Experience with simulators & modeling, GPU/CPU cooperative accelerated computing optimizing / accelerating data-centric AI workloads Expected Base Pay Range (USD) 94,160 - 141,000, $ per annum The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success. Additional Compensation and Benefit Elements Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at . Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
09/25/2026
Full time
About Marvell Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The Technology and Solutions Architecture team is innovating at the intersection of hardware and software- Building co-optimized solutions for the most demanding AI data center challenges, reimagining the data- movement / storage / transformation / processing pipelines with purpose-built Marvell accelerators to advance next-generation AI infrastructure, and shaping open standards We are seeking an innovative AI Solutions Analyst to research, explore, and build co-optimized fabric-attached, shared, disaggregated, and multi-tier memory and storage solution architectures designed to meet the rapidly scaling memory and storage demands of XPU for increasingly data-centric workloads. You will work closely with architects, technologists, and product teams to influence research and development in cutting-edge forward-looking technologies in the disaggregated memory, storage, networking, and security domains. What You Can Expect Develop Next-Gen Solutions: Partner with hardware and software architects, technologists, and IC engineering teams to develop scalable, high-performance, cutting-edge AI/ML infrastructure. Foster Innovation: Spearhead advancements in accelerating AI/ML applications in heterogenous and disaggregated compute architectures, networking, storage, and security domains, focusing on emerging technologies such as CXL, UAL, UEC, low-latency transport protocols, and Post-Quantum Cryptography. Architect and Execute: Lead system architectural design and implement proof-of-concept solutions for diverse workloads, optimizing execution across distributed, heterogeneous memory, compute, and storage environments. Present innovative ideas and substantiated proof-points to senior management and CTOs. Represent in Standards Bodies: Advocate Marvell's leadership in industry standards bodies and working groups, shaping new standards and emerging technologies aligned with Marvell's strategic interests. Analyze Performance: Conduct advanced characterization and performance analysis of complex workloads, monitoring critical metrics such as response time, latency, and resource utilization. Build Simulation Environments: Create and refine simulation environments for large-scale setups and configurations, especially in the AI/ML domain. Document and Visualize Insights: Develop comprehensive documentation and data visualizations to support analysis and insights, leveraging tools like Python and related libraries. Stay at the Forefront: Keep abreast of the latest developments in generative AI and hardware data analysis, and propose innovative approaches to enhance device tuning and interoperability performance. What We're Looking For PhD or Master's degree in computer science and engineering, electrical engineering, or related field HW/SW co-design experience with proven expertise with GPUs, DPUs, FPGAs, or custom hardware accelerators Processor micro-architectures (preferably ARM), scalar and vector processing pipelines, techniques to optimize memory bound applications Deep understanding of memory or storage subsystems, disaggregated memory for accelerators, cluster level shared memory approaches, NVMeoF Familiarity with coherent / non-coherent interconnects, like CXL, UAL, NVLink, and multi-GPU / multi-node communication mechanisms and optimization techniques like SHARP and NCCL Proficiency in performance benchmarking of AI data processing workloads, system profiling and analyzing end-to-end flows Experience with simulators & modeling, GPU/CPU cooperative accelerated computing optimizing / accelerating data-centric AI workloads Expected Base Pay Range (USD) 94,160 - 141,000, $ per annum The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success. Additional Compensation and Benefit Elements Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at . Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistics solutions. Join our dynamic team and help shape a smarter, greener future for global freight. Senior Software Engineer Parallel Systems is seeking a Senior Software Engineer to design, build, and optimize critical system applications. You will work on high-performance backend systems that empower our rail vehicles to navigate the rail network safely and securely, as well as interface with customer's train control systems. This role requires deep expertise in systems programming and the ability to build robust, efficient software solutions. Responsibilities: Design and implement high-performance, low-latency backend systems for critical train control applications. Develop and maintain system-level software written primarily in Rust. Optimize existing codebases for scalability, performance, and reliability. Collaborate with cross-functional teams to architect fault-tolerant and distributed systems. Ensure software meets security, compliance, and performance standards. Conduct performance profiling, debugging, and system diagnostics for complex issues. Contribute to code reviews, technical discussions, and best practices within the team. What Success Looks Like: After 30 Days: You've ramped up quickly, developed a deep understanding of our backend systems, and are actively contributing to high-impact feature development that improves the performance and reliability of our train systems. After 60 Days: You've taken initiative in designing a scalable architecture for integrating with customer enterprise systems. You've outlined a clear and realistic implementation plan, including milestones for development, testing, and deployment. After 90 Days: You have implemented and tested major features in simulation and on real hardware at the test site and have taken the lead on the future path of our back-office systems. Basic Requirements: 5+ years of experience in backend or systems-level software development. Professional experience in C, C++, Rust , or other systems programming languages. Strong understanding of operating systems, networking, and concurrency models. Experience building highly available, high-performance systems. Proficiency with Linux environments, low-level system interactions, and memory management. Strong debugging and performance optimization skills for complex distributed systems. Preferred Qualifications: Experience with Rust in production or a strong desire to work with Rust. Experience in safety critical application spaces such as autonomous vehicles, industrial control equipment, or aerospace. Experience in or knowledge of rail control systems is greatly preferred. Familiarity with cloud-based architectures and containerized environments (Docker, Kubernetes). We are committed to providing fair and transparent compensation in accordance with applicable laws. Salary ranges are listed below and reflect the expected range for new hires in this role, based on factors such as skills, experience, qualifications, and location. Final compensation may vary and will be determined during the interview process. The target hiring range for this position is listed below. Target Salary Range: $150,000-$212,000 USD Parallel Systems is an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to any discriminatory factor protected by applicable federal, state or local laws. We work to build an inclusive environment in which all people can come to do their best work. Parallel Systems is committed to the full inclusion of all qualified individuals. As part of this commitment, Parallel Systems will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your recruiter.
09/25/2026
Full time
Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistics solutions. Join our dynamic team and help shape a smarter, greener future for global freight. Senior Software Engineer Parallel Systems is seeking a Senior Software Engineer to design, build, and optimize critical system applications. You will work on high-performance backend systems that empower our rail vehicles to navigate the rail network safely and securely, as well as interface with customer's train control systems. This role requires deep expertise in systems programming and the ability to build robust, efficient software solutions. Responsibilities: Design and implement high-performance, low-latency backend systems for critical train control applications. Develop and maintain system-level software written primarily in Rust. Optimize existing codebases for scalability, performance, and reliability. Collaborate with cross-functional teams to architect fault-tolerant and distributed systems. Ensure software meets security, compliance, and performance standards. Conduct performance profiling, debugging, and system diagnostics for complex issues. Contribute to code reviews, technical discussions, and best practices within the team. What Success Looks Like: After 30 Days: You've ramped up quickly, developed a deep understanding of our backend systems, and are actively contributing to high-impact feature development that improves the performance and reliability of our train systems. After 60 Days: You've taken initiative in designing a scalable architecture for integrating with customer enterprise systems. You've outlined a clear and realistic implementation plan, including milestones for development, testing, and deployment. After 90 Days: You have implemented and tested major features in simulation and on real hardware at the test site and have taken the lead on the future path of our back-office systems. Basic Requirements: 5+ years of experience in backend or systems-level software development. Professional experience in C, C++, Rust , or other systems programming languages. Strong understanding of operating systems, networking, and concurrency models. Experience building highly available, high-performance systems. Proficiency with Linux environments, low-level system interactions, and memory management. Strong debugging and performance optimization skills for complex distributed systems. Preferred Qualifications: Experience with Rust in production or a strong desire to work with Rust. Experience in safety critical application spaces such as autonomous vehicles, industrial control equipment, or aerospace. Experience in or knowledge of rail control systems is greatly preferred. Familiarity with cloud-based architectures and containerized environments (Docker, Kubernetes). We are committed to providing fair and transparent compensation in accordance with applicable laws. Salary ranges are listed below and reflect the expected range for new hires in this role, based on factors such as skills, experience, qualifications, and location. Final compensation may vary and will be determined during the interview process. The target hiring range for this position is listed below. Target Salary Range: $150,000-$212,000 USD Parallel Systems is an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to any discriminatory factor protected by applicable federal, state or local laws. We work to build an inclusive environment in which all people can come to do their best work. Parallel Systems is committed to the full inclusion of all qualified individuals. As part of this commitment, Parallel Systems will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your recruiter.
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: Inference Platform Team The Inference team builds and operates CoreWeave's Kubernetes-native inference platform, powering low-latency, high-throughput AI workloads at massive scale. The team is responsible for request routing, scheduling, GPU resource management, and system-wide optimizations that drive performance, efficiency, and reliability across real-time inference systems. About the role: As a Staff Software Engineer (IC5) on the Inference team, you will act as a technical leader driving architecture, performance, and reliability across multiple services and teams. Your day-to-day will involve leading cross-team design initiatives, optimizing inference performance (latency, throughput, and GPU utilization), and improving system reliability at scale. You will work deeply in distributed systems and Kubernetes-based infrastructure, focusing on areas like scheduling, batching, and memory optimization. This role requires hands-on technical leadership and the ability to influence engineering direction across the organization. Who You Are: 8-12+ years of experience building and operating large-scale distributed systems or cloud platforms Proven experience leading cross-team technical initiatives impacting multiple services or organizations Strong programming skills in Go, Python, or C++ Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design Strong understanding of distributed systems, networking, and performance optimization Experience designing and operating low-latency, high-throughput systems with strict P95/P99 latency requirements Hands-on experience with inference systems, including batching or micro-batching strategies, caching, and memory optimization Experience improving system performance using metrics-driven approaches (e.g., latency, throughput, utilization) Familiarity with mixed precision (BF16, FP8) and streaming inference workloads Preferred: Experience with inference frameworks such as vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe Experience with GPU systems and performance optimization (CUDA, NCCL, RDMA, NUMA, GPU interconnects) Experience leading multi-team or org-level technical initiatives Exposure to large-scale AI/ML infrastructure or hyperscale cloud environments Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to design and optimize high-performance distributed systems at scale You're curious about AI inference, GPU systems, and emerging performance techniques You're an expert in building reliable, low-latency infrastructure and driving system-wide improvements Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
09/25/2026
Full time
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: Inference Platform Team The Inference team builds and operates CoreWeave's Kubernetes-native inference platform, powering low-latency, high-throughput AI workloads at massive scale. The team is responsible for request routing, scheduling, GPU resource management, and system-wide optimizations that drive performance, efficiency, and reliability across real-time inference systems. About the role: As a Staff Software Engineer (IC5) on the Inference team, you will act as a technical leader driving architecture, performance, and reliability across multiple services and teams. Your day-to-day will involve leading cross-team design initiatives, optimizing inference performance (latency, throughput, and GPU utilization), and improving system reliability at scale. You will work deeply in distributed systems and Kubernetes-based infrastructure, focusing on areas like scheduling, batching, and memory optimization. This role requires hands-on technical leadership and the ability to influence engineering direction across the organization. Who You Are: 8-12+ years of experience building and operating large-scale distributed systems or cloud platforms Proven experience leading cross-team technical initiatives impacting multiple services or organizations Strong programming skills in Go, Python, or C++ Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design Strong understanding of distributed systems, networking, and performance optimization Experience designing and operating low-latency, high-throughput systems with strict P95/P99 latency requirements Hands-on experience with inference systems, including batching or micro-batching strategies, caching, and memory optimization Experience improving system performance using metrics-driven approaches (e.g., latency, throughput, utilization) Familiarity with mixed precision (BF16, FP8) and streaming inference workloads Preferred: Experience with inference frameworks such as vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe Experience with GPU systems and performance optimization (CUDA, NCCL, RDMA, NUMA, GPU interconnects) Experience leading multi-team or org-level technical initiatives Exposure to large-scale AI/ML infrastructure or hyperscale cloud environments Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to design and optimize high-performance distributed systems at scale You're curious about AI inference, GPU systems, and emerging performance techniques You're an expert in building reliable, low-latency infrastructure and driving system-wide improvements Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
09/25/2026
Full time
Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details
