Date Posted: 2026-08-05 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. . click apply for full job details
09/29/2026
Full time
Date Posted: 2026-08-05 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. . click apply for full job details
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Job Description Antora Energy delivers affordable, reliable energy to industry, data centers, and the grid. Our thermal batteries turn low-cost electricity into always-on heat and power, without supply-constrained critical minerals or multi-year construction timelines. We are growing our company with people who put team and mission first, value connection through laughter and joy, and work with humility and openness. We are committed to building a diverse, passionate, and creative team dedicated to a future powered by abundant, clean, low-cost energy. Position Summary We are seeking a Staff or Principal Applications Engineer to establish Antora's applications engineering function - the senior technical authority for the customer opportunities that don't fit a standard template. Antora's standard configurations run through repeatable tools and playbooks operated by our business development team; you will own everything that doesn't: the first-of-a-kind applications, constrained sites, and novel configurations of Antora's thermal batteries across industrial process heat and utility-scale power for data centers and the grid, in the U.S. and internationally. When we dive into a new customer application, you are the engineer who joins the first call, earns the trust of senior customer technical leadership, and creatively develops the solution around Antora's product: running technical discovery, sizing and configuring the system, producing conceptual site layouts and heat and power integration designs, setting the technical basis for performance guarantees, and building the cost estimates behind commercial contracts and investment decisions, then handing a clean basis of design to our project engineering team for detailed design and execution. You are also the technical conscience on what Antora commits to, with the standing and judgment to hold the line on feasibility, schedule, and performance so we win deals we can actually deliver. This role will report to the VP of Product Management within Antora's Commercial team. Roles & Responsibilities Serve as the technical lead for Antora's most complex and novel customer opportunities across industrial heat, combined heat & power, and power applications - joining business development on sales calls and owning the technical conversation with customer engineering/operations teams and executives Run technical discovery on novel applications: own customer data requests (load profiles, steam conditions, utility data, plot plans, one-lines) and site walkdowns, and lead first-pass technical screening where no playbook exists Size and configure Antora's product at the edges of its configurable envelope (and beyond), creatively optimizing trade-offs across performance, cost, schedule, and site constraints Produce conceptual site layouts, heat and power integration designs, and site boundary-condition definitions Own configuration of complex customer, grid, and project interfaces for novel applications - including, but not limited to, controls integration, product-side electrical configuration, product-to-interconnection handoff, cybersecurity requirements, and energy market operations coordination Own performance-guarantee assumptions and proposal-stage analysis/cost estimates for commercial contracts and internal approvals with clear judgment on execution and economic impact Prepare basis-of-design handoff packages (configuration specs, layouts, integration concepts, assumptions, and risks) that enable project engineering to pick up projects cleanly for detailed design (FEED and beyond) Partner closely with product management to co-define where the standard product envelope ends and bespoke applications work begins, and keeping executive stakeholders aligned on what we're committing to Act as the technical escalation point and reviewer for the sales engineers who run standard opportunities - mentoring them and together with product management, setting the technical standards they work to Channel voice-of-customer and market intelligence back to product management to drive product changes that improve performance, customer satisfaction, and addressable market Codify design judgment into playbooks, reference designs, and design rules, partnering with software, analytics, and product management to turn them into tools and standard product requirements where applicable Typical travel of 25%, potentially including some international travel Key Qualifications Bachelor's or equivalent in mechanical, chemical, or electrical engineering (or related field) and 12+ years of experience (or 8+ with a relevant advanced degree) across utility-scale energy projects, large industrial facilities, and/or energy equipment applications Experience leading first-of-a-kind industrial and power projects, including managing executive stakeholders in external organizations Deep expertise in power systems (MV/HV electrical, synchronous and inverter-based resources, grid interconnection) with working fluency in industrial process/thermal systems (steam and utility systems, heat integration) - or the reverse - with genuine depth on at least one side and the range to engage customer engineers credibly in both Experience with energy storage and/or utility-scale energy projects, including site layout and equipment configuration Familiarity with the codes and standards governing industrial energy facilities - NFPA, NEC, ASME, API, UL, etc. Comfortable producing and reviewing PFDs, one-line diagrams, and site layout drawings Strong techno-economic intuition and commercial judgment - instinctively connects configuration trade-offs and performance guarantees to project economics Exceptional customer-facing communication and presentation skills AI-fluent: high level of comfort with leading AI tools (Claude, ChatGPT, Gemini, etc.) and strong instincts for which workflows to automate Self-directed operator who thrives owning a small number of deep, high-stakes projects in a fast-paced startup environment Additional Qualifications Desired Experience spanning both thermal/process and power/grid project environments Direct experience with data-center power, microgrids, or hybrid solar-plus-storage systems Prior applications, sales, or solutions engineering role at an energy technology OEM Solid understanding of energy market fundamentals and battery dispatch or techno-economic modeling Python proficiency Experience working with or for EPC firms Familiarity with industrial controls/SCADA integration and operational-technology (OT) cybersecurity Experience working on projects in international markets (particular preference for EU and Australia) Familiarity with European and/or Australian codes and standards Experience building commercial tools and automations PE license in a related discipline Work Location: Remote, US Salary Range: $175,000 USD - $240,000 USD Salary Basis: Annual Please note that the salary range listed above reflects Antora Energy's estimated pay for this position. The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements. In addition to a competitive base salary, Antora Energy's Total Rewards program includes equity compensation in the form of stock options, a premium health benefits package with life and disability insurance, a 401K plan with employer contributions, flexible spending accounts, and an industry leading paid-time-off policy that features flexible and inclusive holiday observance, as well as paid volunteer time off. When it comes to stopping climate change, we need everyone. We believe that having a diversity of backgrounds and experiences strengthens all of us, and we strive to create an environment where every one of us is empowered to create meaningful change.
09/28/2026
Full time
Job Description Job Description Antora Energy delivers affordable, reliable energy to industry, data centers, and the grid. Our thermal batteries turn low-cost electricity into always-on heat and power, without supply-constrained critical minerals or multi-year construction timelines. We are growing our company with people who put team and mission first, value connection through laughter and joy, and work with humility and openness. We are committed to building a diverse, passionate, and creative team dedicated to a future powered by abundant, clean, low-cost energy. Position Summary We are seeking a Staff or Principal Applications Engineer to establish Antora's applications engineering function - the senior technical authority for the customer opportunities that don't fit a standard template. Antora's standard configurations run through repeatable tools and playbooks operated by our business development team; you will own everything that doesn't: the first-of-a-kind applications, constrained sites, and novel configurations of Antora's thermal batteries across industrial process heat and utility-scale power for data centers and the grid, in the U.S. and internationally. When we dive into a new customer application, you are the engineer who joins the first call, earns the trust of senior customer technical leadership, and creatively develops the solution around Antora's product: running technical discovery, sizing and configuring the system, producing conceptual site layouts and heat and power integration designs, setting the technical basis for performance guarantees, and building the cost estimates behind commercial contracts and investment decisions, then handing a clean basis of design to our project engineering team for detailed design and execution. You are also the technical conscience on what Antora commits to, with the standing and judgment to hold the line on feasibility, schedule, and performance so we win deals we can actually deliver. This role will report to the VP of Product Management within Antora's Commercial team. Roles & Responsibilities Serve as the technical lead for Antora's most complex and novel customer opportunities across industrial heat, combined heat & power, and power applications - joining business development on sales calls and owning the technical conversation with customer engineering/operations teams and executives Run technical discovery on novel applications: own customer data requests (load profiles, steam conditions, utility data, plot plans, one-lines) and site walkdowns, and lead first-pass technical screening where no playbook exists Size and configure Antora's product at the edges of its configurable envelope (and beyond), creatively optimizing trade-offs across performance, cost, schedule, and site constraints Produce conceptual site layouts, heat and power integration designs, and site boundary-condition definitions Own configuration of complex customer, grid, and project interfaces for novel applications - including, but not limited to, controls integration, product-side electrical configuration, product-to-interconnection handoff, cybersecurity requirements, and energy market operations coordination Own performance-guarantee assumptions and proposal-stage analysis/cost estimates for commercial contracts and internal approvals with clear judgment on execution and economic impact Prepare basis-of-design handoff packages (configuration specs, layouts, integration concepts, assumptions, and risks) that enable project engineering to pick up projects cleanly for detailed design (FEED and beyond) Partner closely with product management to co-define where the standard product envelope ends and bespoke applications work begins, and keeping executive stakeholders aligned on what we're committing to Act as the technical escalation point and reviewer for the sales engineers who run standard opportunities - mentoring them and together with product management, setting the technical standards they work to Channel voice-of-customer and market intelligence back to product management to drive product changes that improve performance, customer satisfaction, and addressable market Codify design judgment into playbooks, reference designs, and design rules, partnering with software, analytics, and product management to turn them into tools and standard product requirements where applicable Typical travel of 25%, potentially including some international travel Key Qualifications Bachelor's or equivalent in mechanical, chemical, or electrical engineering (or related field) and 12+ years of experience (or 8+ with a relevant advanced degree) across utility-scale energy projects, large industrial facilities, and/or energy equipment applications Experience leading first-of-a-kind industrial and power projects, including managing executive stakeholders in external organizations Deep expertise in power systems (MV/HV electrical, synchronous and inverter-based resources, grid interconnection) with working fluency in industrial process/thermal systems (steam and utility systems, heat integration) - or the reverse - with genuine depth on at least one side and the range to engage customer engineers credibly in both Experience with energy storage and/or utility-scale energy projects, including site layout and equipment configuration Familiarity with the codes and standards governing industrial energy facilities - NFPA, NEC, ASME, API, UL, etc. Comfortable producing and reviewing PFDs, one-line diagrams, and site layout drawings Strong techno-economic intuition and commercial judgment - instinctively connects configuration trade-offs and performance guarantees to project economics Exceptional customer-facing communication and presentation skills AI-fluent: high level of comfort with leading AI tools (Claude, ChatGPT, Gemini, etc.) and strong instincts for which workflows to automate Self-directed operator who thrives owning a small number of deep, high-stakes projects in a fast-paced startup environment Additional Qualifications Desired Experience spanning both thermal/process and power/grid project environments Direct experience with data-center power, microgrids, or hybrid solar-plus-storage systems Prior applications, sales, or solutions engineering role at an energy technology OEM Solid understanding of energy market fundamentals and battery dispatch or techno-economic modeling Python proficiency Experience working with or for EPC firms Familiarity with industrial controls/SCADA integration and operational-technology (OT) cybersecurity Experience working on projects in international markets (particular preference for EU and Australia) Familiarity with European and/or Australian codes and standards Experience building commercial tools and automations PE license in a related discipline Work Location: Remote, US Salary Range: $175,000 USD - $240,000 USD Salary Basis: Annual Please note that the salary range listed above reflects Antora Energy's estimated pay for this position. The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements. In addition to a competitive base salary, Antora Energy's Total Rewards program includes equity compensation in the form of stock options, a premium health benefits package with life and disability insurance, a 401K plan with employer contributions, flexible spending accounts, and an industry leading paid-time-off policy that features flexible and inclusive holiday observance, as well as paid volunteer time off. When it comes to stopping climate change, we need everyone. We believe that having a diversity of backgrounds and experiences strengthens all of us, and we strive to create an environment where every one of us is empowered to create meaningful change.
Job Description Job Description About Us: NPO Torino is a specialized Digital Transformation company, recently acquired by the Fondo Italiano d'Investimento (Italian Investment Fund). With our headquarters in Turin and an operational presence in the United States and Brazil, we support companies in their technological evolution journey by combining consulting expertise with advanced IT solutions. We offer services in cloud computing, cybersecurity, AI for business, FinOps, system integration, and IT governance, featuring a customized and results-driven approach. Our mission is to simplify digital complexity and transform it into strategic value for enterprises. Backed by the Fondo Italiano d'Investimento , NPO Torino is accelerating its growth as a partner of choice for companies looking to tackle innovation challenges with vision, pragmatism, and sustainability. Salary range $80K to $92K. Work is partially remote with occasional travel to USA, and in Canada. Role Description: We are looking for a highly qualified Senior Network Security Engineer to join our Network & Security Business Unit. The professional will be responsible for the design, implementation, maintenance, and troubleshooting of complex network security infrastructures. The ideal candidate has deep, vertical expertise with leading security vendors (Fortinet, Palo Alto Networks, Cisco, F5) and a proven track record of managing modern architectures, including SASE solutions. Key Responsibilities: Design and manage security architectures based on Next-Generation Firewalls (NGFW). Implement and manage SASE (Secure Access Service Edge) solutions for distributed environments. Perform configuration , policy management, and advanced troubleshooting on multi-vendor equipment. Manage perimeter and internal security within Enterprise environments. Conduct log analysis, incident management, and system hardening. Provide technical mentoring for junior team members (optional, if required). Fundamental Technical Requirements (Must-Have) The candidate must demonstrate practical, in-depth, hands-on experience with the following technologies: Palo Alto Networks: Advanced configuration and management of NGFW (PA Series). Solid experience with Panorama for centralized management. Proven experience with SASE solutions (Prisma Access) and GlobalProtect. Fortinet: Advanced management of FortiGate (including VDOM, SD-WAN, SSL Inspection). Experience with the wider Fortinet ecosystem (FortiManager, FortiAnalyzer). Cisco Security: Experience with Cisco Security solutions (Firepower/FTD, ASA). Knowledge of Cisco ISE (Identity Services Engine) and TrustSec architectures is a strong plus. F5 Networks: Implementation and management of F5 BIG-IP solutions. Strong configuration and troubleshooting skills on LTM (Local Traffic Manager) and/or APM (Access Policy Manager) / AWAF modules. Soft Skills & Additional Requirements: Minimum of 5+ years of experience in Network Security Engineering roles. Excellent troubleshooting and problem-solving skills under pressure. Preferred Certifications (Nice-to-Have): Palo Alto: PCNSE (Palo Alto Networks Certified Network Security Engineer). Fortinet: NSE 4 / NSE 7. Cisco: CCNP Security or CCIE Security. F5: F5 Certified Administrator (F5-CA) or Technology Specialist (F5-CTS). Introduce Yourself (Screening Questions): "Do you have direct implementation experience with Prisma Access? Can you briefly describe a SASE architecture you have managed?" "Have you ever managed migrations between these vendors (e.g., from Cisco to Fortinet or vice versa)?" What We Offer: Salary commensurate with experience. Structured training and certification plans. Corporate benefits: Welfare Plan, Smart Working.
09/28/2026
Full time
Job Description Job Description About Us: NPO Torino is a specialized Digital Transformation company, recently acquired by the Fondo Italiano d'Investimento (Italian Investment Fund). With our headquarters in Turin and an operational presence in the United States and Brazil, we support companies in their technological evolution journey by combining consulting expertise with advanced IT solutions. We offer services in cloud computing, cybersecurity, AI for business, FinOps, system integration, and IT governance, featuring a customized and results-driven approach. Our mission is to simplify digital complexity and transform it into strategic value for enterprises. Backed by the Fondo Italiano d'Investimento , NPO Torino is accelerating its growth as a partner of choice for companies looking to tackle innovation challenges with vision, pragmatism, and sustainability. Salary range $80K to $92K. Work is partially remote with occasional travel to USA, and in Canada. Role Description: We are looking for a highly qualified Senior Network Security Engineer to join our Network & Security Business Unit. The professional will be responsible for the design, implementation, maintenance, and troubleshooting of complex network security infrastructures. The ideal candidate has deep, vertical expertise with leading security vendors (Fortinet, Palo Alto Networks, Cisco, F5) and a proven track record of managing modern architectures, including SASE solutions. Key Responsibilities: Design and manage security architectures based on Next-Generation Firewalls (NGFW). Implement and manage SASE (Secure Access Service Edge) solutions for distributed environments. Perform configuration , policy management, and advanced troubleshooting on multi-vendor equipment. Manage perimeter and internal security within Enterprise environments. Conduct log analysis, incident management, and system hardening. Provide technical mentoring for junior team members (optional, if required). Fundamental Technical Requirements (Must-Have) The candidate must demonstrate practical, in-depth, hands-on experience with the following technologies: Palo Alto Networks: Advanced configuration and management of NGFW (PA Series). Solid experience with Panorama for centralized management. Proven experience with SASE solutions (Prisma Access) and GlobalProtect. Fortinet: Advanced management of FortiGate (including VDOM, SD-WAN, SSL Inspection). Experience with the wider Fortinet ecosystem (FortiManager, FortiAnalyzer). Cisco Security: Experience with Cisco Security solutions (Firepower/FTD, ASA). Knowledge of Cisco ISE (Identity Services Engine) and TrustSec architectures is a strong plus. F5 Networks: Implementation and management of F5 BIG-IP solutions. Strong configuration and troubleshooting skills on LTM (Local Traffic Manager) and/or APM (Access Policy Manager) / AWAF modules. Soft Skills & Additional Requirements: Minimum of 5+ years of experience in Network Security Engineering roles. Excellent troubleshooting and problem-solving skills under pressure. Preferred Certifications (Nice-to-Have): Palo Alto: PCNSE (Palo Alto Networks Certified Network Security Engineer). Fortinet: NSE 4 / NSE 7. Cisco: CCNP Security or CCIE Security. F5: F5 Certified Administrator (F5-CA) or Technology Specialist (F5-CTS). Introduce Yourself (Screening Questions): "Do you have direct implementation experience with Prisma Access? Can you briefly describe a SASE architecture you have managed?" "Have you ever managed migrations between these vendors (e.g., from Cisco to Fortinet or vice versa)?" What We Offer: Salary commensurate with experience. Structured training and certification plans. Corporate benefits: Welfare Plan, Smart Working.
Job Description Job Description ABOUT HUT 8 Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place. ABOUT THE ROLE We are seeking a motivated Transmission & Interconnection, Principal to support Hut 8's interconnection and transmission planning efforts across the United States. As Hut 8 scales its energy infrastructure platform-powering next-generation data centers, AI workloads, and Bitcoin mining operations-securing reliable, cost-effective grid access is mission-critical. In this role, you will support the interconnection queue process for large load and co-located generation assets, working closely with utilities and grid operators to prepare study materials, maintain power system models, and translate technical findings for internal and external stakeholders. You will partner cross-functionally with the broader Transmission & Interconnection team to help identify, track, and mitigate interconnection timelines, cost exposures, and technical requirements. Key Responsibilities Utility Interface Prepare materials for utility and grid operator submittals Track study milestones and support related negotiation processes Maintain internal records to support study oversight Power System Modeling & Simulation Maintain model currency across regional grid operator systems Perform power flow studies to support load capacity screening, network upgrade cost estimation, and system reliability analysis Support system stability and protection-related studies as needed Prepare clear technical reports and analysis Translate technical findings for both engineering and business audiences Support coordination across internal teams Dynamic Model Quality Testing Coordinate with external consultants to build and validate power flow and dynamic models using standard industry software Process Improvement Support workflow automation and modern software tools to scale study throughput as project volume grows ABOUT YOU Required Qualifications BSEE from an ABET-accredited program with a power emphasis 3-5 years of experience in power systems, transmission planning, and interconnection gained as a consultant, ISO/utility engineer, or in an equivalent role Hands on experience with TARA for transmission reliability, power flow, and contingency analysis. Proficient with power system modeling and simulation software such as PSS/E, PSLF, PowerWorld, PSCAD, or equivalent. Strong analytical skills with ability to interpret complex interconnection study results and develop actionable recommendations Track record of successfully negotiating interconnection agreements and managing cost and schedule risk. Skilled in report preparation, data analytics, and cost modeling, with clear written and verbal communication Prior internship or co-op experience in power systems, transmission planning, or interconnection is a plus Preferred Qualifications Experience within an ISO/RTO, consulting firm, or utility, with exposure to organized markets such as PJM, ERCOT, MISO, SPP, or the Southeast (Georgia Power, Duke, TVA) Direct exposure to large-load or HPC/data center power requirements-including in an academic context-is a strong plus given the unit's focus on speed to power Familiarity with dynamic model validation and benchmarking via model quality testing Proficiency with workflow automation and application program interfaces to scale process development as study volume grows Professional Engineer (PE) license, or progress toward licensure ABOUT THE WORK ENVIRONMENT This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WHAT MAKES HUT 8 A GREAT PLACE TO WORK Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality. At Hut 8, you will have the opportunity to: Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure
09/28/2026
Full time
Job Description Job Description ABOUT HUT 8 Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place. ABOUT THE ROLE We are seeking a motivated Transmission & Interconnection, Principal to support Hut 8's interconnection and transmission planning efforts across the United States. As Hut 8 scales its energy infrastructure platform-powering next-generation data centers, AI workloads, and Bitcoin mining operations-securing reliable, cost-effective grid access is mission-critical. In this role, you will support the interconnection queue process for large load and co-located generation assets, working closely with utilities and grid operators to prepare study materials, maintain power system models, and translate technical findings for internal and external stakeholders. You will partner cross-functionally with the broader Transmission & Interconnection team to help identify, track, and mitigate interconnection timelines, cost exposures, and technical requirements. Key Responsibilities Utility Interface Prepare materials for utility and grid operator submittals Track study milestones and support related negotiation processes Maintain internal records to support study oversight Power System Modeling & Simulation Maintain model currency across regional grid operator systems Perform power flow studies to support load capacity screening, network upgrade cost estimation, and system reliability analysis Support system stability and protection-related studies as needed Prepare clear technical reports and analysis Translate technical findings for both engineering and business audiences Support coordination across internal teams Dynamic Model Quality Testing Coordinate with external consultants to build and validate power flow and dynamic models using standard industry software Process Improvement Support workflow automation and modern software tools to scale study throughput as project volume grows ABOUT YOU Required Qualifications BSEE from an ABET-accredited program with a power emphasis 3-5 years of experience in power systems, transmission planning, and interconnection gained as a consultant, ISO/utility engineer, or in an equivalent role Hands on experience with TARA for transmission reliability, power flow, and contingency analysis. Proficient with power system modeling and simulation software such as PSS/E, PSLF, PowerWorld, PSCAD, or equivalent. Strong analytical skills with ability to interpret complex interconnection study results and develop actionable recommendations Track record of successfully negotiating interconnection agreements and managing cost and schedule risk. Skilled in report preparation, data analytics, and cost modeling, with clear written and verbal communication Prior internship or co-op experience in power systems, transmission planning, or interconnection is a plus Preferred Qualifications Experience within an ISO/RTO, consulting firm, or utility, with exposure to organized markets such as PJM, ERCOT, MISO, SPP, or the Southeast (Georgia Power, Duke, TVA) Direct exposure to large-load or HPC/data center power requirements-including in an academic context-is a strong plus given the unit's focus on speed to power Familiarity with dynamic model validation and benchmarking via model quality testing Proficiency with workflow automation and application program interfaces to scale process development as study volume grows Professional Engineer (PE) license, or progress toward licensure ABOUT THE WORK ENVIRONMENT This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WHAT MAKES HUT 8 A GREAT PLACE TO WORK Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality. At Hut 8, you will have the opportunity to: Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure
Charlie Health Engineering, Product & Design
New York, New York
Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.
09/28/2026
Full time
Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.
SK hynix memory solutions America Inc.
San Jose, California
Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Job Responsibilities: FTL (Flash Translation Layer) design, implement and debugging. Design, implement, and evaluate real-time embedded system firmware for SSD products. Perform firmware code review, analysis and improvement. Perform firmware focused SSD system integration, performance profiling, validation and debugging. Perform failure analysis and corrective firmware actions via collaboration with other stakeholders until issue resolution. Desired Skills and Experience: BS in either Computer Science or Electrical Engineering; MS is preferred. 3+ years of hands-on FTL development experience in SSD 5+ years of development experience in embedded controller environments. Proficient in firmware and software programming (C/C++, assembly, script languages) Experience with at least one storage protocol; PCIe/NVMe, SATA, SCSI Experience in the NAND flash storage device application and/or testing is a plus but not required Experience with firmware debugging tools such as JTAG and In-Circuit Emulator. Experience with multi-ARM core based development is a plus. Ability to work creatively and analytically in a problem- solving environment. Ability to jump into different areas of the system for investigation and analysis Good verbal and written skills for communication and documentation. Self-motivated, good team player. COMPENSATION: $190,000 - $240,000 REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.
09/28/2026
Full time
Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Job Responsibilities: FTL (Flash Translation Layer) design, implement and debugging. Design, implement, and evaluate real-time embedded system firmware for SSD products. Perform firmware code review, analysis and improvement. Perform firmware focused SSD system integration, performance profiling, validation and debugging. Perform failure analysis and corrective firmware actions via collaboration with other stakeholders until issue resolution. Desired Skills and Experience: BS in either Computer Science or Electrical Engineering; MS is preferred. 3+ years of hands-on FTL development experience in SSD 5+ years of development experience in embedded controller environments. Proficient in firmware and software programming (C/C++, assembly, script languages) Experience with at least one storage protocol; PCIe/NVMe, SATA, SCSI Experience in the NAND flash storage device application and/or testing is a plus but not required Experience with firmware debugging tools such as JTAG and In-Circuit Emulator. Experience with multi-ARM core based development is a plus. Ability to work creatively and analytically in a problem- solving environment. Ability to jump into different areas of the system for investigation and analysis Good verbal and written skills for communication and documentation. Self-motivated, good team player. COMPENSATION: $190,000 - $240,000 REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.
Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.
09/28/2026
Full time
Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
09/28/2026
Full time
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
Job Description Job Description US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls. We're getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It's working - Consumer Reports named us the top-rated mobile carrier two years in a row. And we're building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn't for everyone. If you work fast, flexibly, and collaboratively - without compromising standards - we want to hear from you. Our work this year is simplifying our web + mobile apps and main marketing page. We've partnered with a world-class design agency to produce Brand Guidelines as part of a significant rebrand investment. Design will build out new components across web, mobile, and marketing pages in support of a range of product and company initiatives. About the Role We're looking for a Lead Product Designer to lead our Product Design organization while remaining a hands-on individual contributor. This is a player-coach role responsible for both the success of the design team and the quality of our products. You'll define the vision, standards, and operating model for Product Design, mentor and develop designers, establish design processes and rituals, and partner closely with Product, Engineering, Growth, Brand and executive leadership to shape product strategy and company direction. At the same time, you'll personally own and deliver some of the company's most important product initiatives, setting the standard for craft, systems thinking, and execution through your own work. This role is ideal for someone who enjoys building a world-class design organization without stepping away from the practice. You're energized by helping other designers do their best work, but you also want to be in Figma solving the hardest product problems yourself. We're looking for someone with 10+ years of experience designing consumer technology products, ideally across both high-growth startups and larger, scaled organizations. You have a track record of shipping exceptional customer experiences, building high-performing design teams, and influencing company strategy through outstanding product thinking and design leadership. What You'll Do: Lead and mentor the Product Design team, setting direction, raising the quality bar, and developing designers through coaching, critique, and day-to-day guidance. Lead the design vision, execution and strategy across all user-facing surfaces. Balance organizational leadership with hands-on design work, operating as both the team's design leader and one of its most senior practitioners. Define the rituals, review processes, and culture that increase the velocity and quality of the design team. Personally own and ship some of the company's highest-impact product design work, leading by example through exceptional craft and execution. Set the design direction of the company, overall, in close partnership with the founder and CEO and Product leadership. What We're Looking For: 10+ years of experience in Product Design, including significant experience operating as a senior design people leader in fast-paced environments. Deep experience in consumer facing technology with a portfolio that shows range across strategic and executional work. A demonstrated ability to influence roadmap and prioritization conversations at the leadership level. A strong, well-articulated point of view on design quality, backed by research, data, and experience, along with the ability to teach that point of view to others. Craft user-friendly, delightful experiences with an exceptionally high bar for visual polish, information architecture, and cognitive load. Comfort operating with ambiguity - able to bring structure and strategic clarity to 0-to-1 problems with incomplete information. Autonomously ship features from 0 to 1 with a high bar for IA, UX, UI, and final visuals, while also stepping back to ensure the broader system stays coherent. Strong stakeholder management skills - able to represent design's perspective persuasively in front of executives, PMs, and engineering leads. Perks and benefits: Competitive Salary Gym reimbursement Commute reimbursement Flexible working hours Professional development stipend Flexible time off Cell phone service (up to $100/mo) Think you're a fit? Apply to learn more! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls. We're getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It's working - Consumer Reports named us the top-rated mobile carrier two years in a row. And we're building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn't for everyone. If you work fast, flexibly, and collaboratively - without compromising standards - we want to hear from you. Our work this year is simplifying our web + mobile apps and main marketing page. We've partnered with a world-class design agency to produce Brand Guidelines as part of a significant rebrand investment. Design will build out new components across web, mobile, and marketing pages in support of a range of product and company initiatives. About the Role We're looking for a Lead Product Designer to lead our Product Design organization while remaining a hands-on individual contributor. This is a player-coach role responsible for both the success of the design team and the quality of our products. You'll define the vision, standards, and operating model for Product Design, mentor and develop designers, establish design processes and rituals, and partner closely with Product, Engineering, Growth, Brand and executive leadership to shape product strategy and company direction. At the same time, you'll personally own and deliver some of the company's most important product initiatives, setting the standard for craft, systems thinking, and execution through your own work. This role is ideal for someone who enjoys building a world-class design organization without stepping away from the practice. You're energized by helping other designers do their best work, but you also want to be in Figma solving the hardest product problems yourself. We're looking for someone with 10+ years of experience designing consumer technology products, ideally across both high-growth startups and larger, scaled organizations. You have a track record of shipping exceptional customer experiences, building high-performing design teams, and influencing company strategy through outstanding product thinking and design leadership. What You'll Do: Lead and mentor the Product Design team, setting direction, raising the quality bar, and developing designers through coaching, critique, and day-to-day guidance. Lead the design vision, execution and strategy across all user-facing surfaces. Balance organizational leadership with hands-on design work, operating as both the team's design leader and one of its most senior practitioners. Define the rituals, review processes, and culture that increase the velocity and quality of the design team. Personally own and ship some of the company's highest-impact product design work, leading by example through exceptional craft and execution. Set the design direction of the company, overall, in close partnership with the founder and CEO and Product leadership. What We're Looking For: 10+ years of experience in Product Design, including significant experience operating as a senior design people leader in fast-paced environments. Deep experience in consumer facing technology with a portfolio that shows range across strategic and executional work. A demonstrated ability to influence roadmap and prioritization conversations at the leadership level. A strong, well-articulated point of view on design quality, backed by research, data, and experience, along with the ability to teach that point of view to others. Craft user-friendly, delightful experiences with an exceptionally high bar for visual polish, information architecture, and cognitive load. Comfort operating with ambiguity - able to bring structure and strategic clarity to 0-to-1 problems with incomplete information. Autonomously ship features from 0 to 1 with a high bar for IA, UX, UI, and final visuals, while also stepping back to ensure the broader system stays coherent. Strong stakeholder management skills - able to represent design's perspective persuasively in front of executives, PMs, and engineering leads. Perks and benefits: Competitive Salary Gym reimbursement Commute reimbursement Flexible working hours Professional development stipend Flexible time off Cell phone service (up to $100/mo) Think you're a fit? Apply to learn more! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description: Technical Lead, Automation & AI Enablement Role Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Automation & AI Enablement Technical Lead is a hands-on technical leader responsible for architecting and delivering TireHub's enterprise automation and AI enablement programs. This role drives end-to-end solution design and execution across the full Microsoft automation and AI stack - Power Platform, Copilot Studio, and Microsoft Foundry - while directly managing and developing a team of engineers. This leader translates complex business problems into production-ready AI-powered automation solutions, partners with stakeholders to identify and prioritize high-value opportunities, and owns the technical direction, delivery quality, and capability growth of the team. The role requires equal command of automation, AI agent design and orchestration, and the integration patterns that connect them across enterprise systems. This role will report to the Sr. Leader, BI & Analytics. When you say YES to something bigger: Choose your day one benefits which include a no cost health insurance option TireHub funded Health Savings Account Additional benefit options including TireHub paid short/long term disability and life insurance benefits Paid vacation and holidays Parental leave programs Build your financial future with 401k including TireHub match Access to tire discounts, perks, and so much more! Enjoy access to the TireHub headquarters location in Ravinia Plaza including free parking, free gym, convenient restaurants, outdoor spaces, special The individual must exhibit the following core attributes of the TireHub commitment: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we do not give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Team Leadership & People Development Directly manage, mentor, and develop a team of engineers, fostering a high-performance culture aligned with TireHub's values. Set clear goals, provide regular feedback, and support the professional growth and career development of direct reports. Establishes team standards for solution design, documentation, testing, and deployment practices across the automation and AI program. Acts as a force multiplier: translate business priorities into clear technical direction, unblock team members, and ensure consistent delivery velocity. Coordinates effectively across onshore and offshore team members, adapting communication and workflows to support a distributed team model. AI & Automation Architecture Designs and own the enterprise architecture for TireHub's automation and AI enablement programs, spanning Power Platform, Copilot Studio, and Microsoft Foundry. Establishes architecture patterns that connect AI agents, automated workflows, and enterprise systems - including Microsoft Fabric, Dataverse, Azure services, ERP system, and third-party APIs. Defines technical standards, governance frameworks, and best practices for solution design, security, and lifecycle management across the automation and AI stack. Leads evaluation of new Microsoft AI and automation capabilities, running rapid proof-of-concepts and pilots to assess business value and implementation feasibility. Partners with IT security to ensure automation and AI solutions adhere to data privacy, access control, and compliance requirements. Collaborates with business stakeholders to build deep understanding of core business processes and translate that context into scalable, AI-powered automation solutions. Provides technical leadership across complex, cross-functional initiatives - guiding design decisions, reviewing solution architecture, and ensuring delivery quality. AI Enablement & Automation Engineering Leads the design, development, and deployment of AI agents and copilots using Microsoft Copilot Studio, including conversational agents, task automation bots, and orchestrated multi-agent solutions. Architects and implements AI solutions on Microsoft Foundry, including model selection and grounding, prompt engineering, RAG (retrieval-augmented generation) patterns, and responsible AI guardrails. Builds and modernize end-to-end automation workflows using Microsoft Power Automate, Power Apps, Logic Apps, and Azure integration services - connecting automated processes with AI capabilities where they add business value. Designs robust integration layers using REST APIs, Dataverse, Service Bus, and Azure services to connect automation and AI solutions across TireHub's enterprise systems. Ensures reliability, observability, and security of deployed solutions through comprehensive error handling, logging, alerting, and monitoring frameworks. Partners with business units to analyze processes end-to-end, identify AI and automation opportunities, and translate functional requirements into technical specifications and user stories. Delivers technical demonstrations and enablement sessions to stakeholders to drive adoption and ensure the full value of AI and automation investments is realized. Maintains comprehensive technical documentation and establish knowledge standards across the team. Delivery & Operations Operates within an Agile/Sprint environment; lead sprint planning and delivery cadence for the automation and AI team. Balances direct technical contribution with oversight responsibilities, contributing to solution design, code review, and architecture decisions. Demonstrates a commitment to continuous learning by researching, recommending, and applying emerging automation and AI techniques to advance TireHub's capabilities. Ensures individual and team adherence to TireHub policies, procedures, and guidelines. Complete other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: People Leadership: Establishes clear expectations, provides ongoing coaching and feedback, and develops the technical and professional capabilities of direct reports. Builds a team culture grounded in accountability, collaboration, and continuous improvement. Innovation Orientation: Demonstrates a high degree of commitment to creating and exploring innovative approaches - particularly at the intersection of AI and automation - that enhance performance and drive organizational success. Entrepreneurship/Intrapreneurship: Identifies and evaluates opportunities for AI-powered automation with a business-focused mindset (e.g., cost savings, efficiency gains, competitive advantage) and takes decisive action to execute. Organizational Awareness: Uses knowledge of systems, processes, and culture inside TireHub to identify high-value automation and AI opportunities and understand the cross-functional impact of proposed solutions. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT, and vendor partners to design and deliver automation and AI solutions that meet real business needs. Agility and Adaptability: Thrives in a fast-moving AI landscape; actively monitors and experiments with emerging Microsoft AI and automation capabilities to keep TireHub's program at the leading edge. Problem-Solving: Advanced critical thinking skills to diagnose and resolve complex technical issues across automation workflows, AI agent behavior, integration failures, and system performance. Communication: Excellent communication skills to interact with team members, stakeholders, and external partners. Excels at translating AI and automation concepts into clear business value for non-technical audiences. Education/Experience: Bachelor's degree in Computer Science, Information Systems, or related field is preferred. Master's degree is a plus. 7+ years of experience in automation engineering, solution architecture, or a related technical role. 5+ years of hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). 2+ years of experience designing and deploying AI-powered solutions, including conversational AI, AI agents, or LLM-based applications. Demonstrated experience with Microsoft Copilot Studio, including agent design, topic authoring, channel deployment, and integration with enterprise data sources. Experience with Microsoft Foundry (Azure AI Foundry) including model deployment, prompt engineering, RAG pipelines, and responsible AI practices. 2+ years of direct people management or technical lead experience, including managing onshore and/or offshore team members. Experience with Azure integration services including Logic Apps, Service Bus, Azure Functions, and Application Insights. Proficiency in API integration patterns (REST, GraphQL, OAuth/token-based authentication). Proficiency in SQL and at least one programming language (Python, C#, Scala). Demonstrated project management skills and ability to lead cross-functional initiatives in an Agile environment. Required Knowledge, Skills . click apply for full job details
09/28/2026
Full time
Job Description Job Description: Technical Lead, Automation & AI Enablement Role Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Automation & AI Enablement Technical Lead is a hands-on technical leader responsible for architecting and delivering TireHub's enterprise automation and AI enablement programs. This role drives end-to-end solution design and execution across the full Microsoft automation and AI stack - Power Platform, Copilot Studio, and Microsoft Foundry - while directly managing and developing a team of engineers. This leader translates complex business problems into production-ready AI-powered automation solutions, partners with stakeholders to identify and prioritize high-value opportunities, and owns the technical direction, delivery quality, and capability growth of the team. The role requires equal command of automation, AI agent design and orchestration, and the integration patterns that connect them across enterprise systems. This role will report to the Sr. Leader, BI & Analytics. When you say YES to something bigger: Choose your day one benefits which include a no cost health insurance option TireHub funded Health Savings Account Additional benefit options including TireHub paid short/long term disability and life insurance benefits Paid vacation and holidays Parental leave programs Build your financial future with 401k including TireHub match Access to tire discounts, perks, and so much more! Enjoy access to the TireHub headquarters location in Ravinia Plaza including free parking, free gym, convenient restaurants, outdoor spaces, special The individual must exhibit the following core attributes of the TireHub commitment: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we do not give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Team Leadership & People Development Directly manage, mentor, and develop a team of engineers, fostering a high-performance culture aligned with TireHub's values. Set clear goals, provide regular feedback, and support the professional growth and career development of direct reports. Establishes team standards for solution design, documentation, testing, and deployment practices across the automation and AI program. Acts as a force multiplier: translate business priorities into clear technical direction, unblock team members, and ensure consistent delivery velocity. Coordinates effectively across onshore and offshore team members, adapting communication and workflows to support a distributed team model. AI & Automation Architecture Designs and own the enterprise architecture for TireHub's automation and AI enablement programs, spanning Power Platform, Copilot Studio, and Microsoft Foundry. Establishes architecture patterns that connect AI agents, automated workflows, and enterprise systems - including Microsoft Fabric, Dataverse, Azure services, ERP system, and third-party APIs. Defines technical standards, governance frameworks, and best practices for solution design, security, and lifecycle management across the automation and AI stack. Leads evaluation of new Microsoft AI and automation capabilities, running rapid proof-of-concepts and pilots to assess business value and implementation feasibility. Partners with IT security to ensure automation and AI solutions adhere to data privacy, access control, and compliance requirements. Collaborates with business stakeholders to build deep understanding of core business processes and translate that context into scalable, AI-powered automation solutions. Provides technical leadership across complex, cross-functional initiatives - guiding design decisions, reviewing solution architecture, and ensuring delivery quality. AI Enablement & Automation Engineering Leads the design, development, and deployment of AI agents and copilots using Microsoft Copilot Studio, including conversational agents, task automation bots, and orchestrated multi-agent solutions. Architects and implements AI solutions on Microsoft Foundry, including model selection and grounding, prompt engineering, RAG (retrieval-augmented generation) patterns, and responsible AI guardrails. Builds and modernize end-to-end automation workflows using Microsoft Power Automate, Power Apps, Logic Apps, and Azure integration services - connecting automated processes with AI capabilities where they add business value. Designs robust integration layers using REST APIs, Dataverse, Service Bus, and Azure services to connect automation and AI solutions across TireHub's enterprise systems. Ensures reliability, observability, and security of deployed solutions through comprehensive error handling, logging, alerting, and monitoring frameworks. Partners with business units to analyze processes end-to-end, identify AI and automation opportunities, and translate functional requirements into technical specifications and user stories. Delivers technical demonstrations and enablement sessions to stakeholders to drive adoption and ensure the full value of AI and automation investments is realized. Maintains comprehensive technical documentation and establish knowledge standards across the team. Delivery & Operations Operates within an Agile/Sprint environment; lead sprint planning and delivery cadence for the automation and AI team. Balances direct technical contribution with oversight responsibilities, contributing to solution design, code review, and architecture decisions. Demonstrates a commitment to continuous learning by researching, recommending, and applying emerging automation and AI techniques to advance TireHub's capabilities. Ensures individual and team adherence to TireHub policies, procedures, and guidelines. Complete other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: People Leadership: Establishes clear expectations, provides ongoing coaching and feedback, and develops the technical and professional capabilities of direct reports. Builds a team culture grounded in accountability, collaboration, and continuous improvement. Innovation Orientation: Demonstrates a high degree of commitment to creating and exploring innovative approaches - particularly at the intersection of AI and automation - that enhance performance and drive organizational success. Entrepreneurship/Intrapreneurship: Identifies and evaluates opportunities for AI-powered automation with a business-focused mindset (e.g., cost savings, efficiency gains, competitive advantage) and takes decisive action to execute. Organizational Awareness: Uses knowledge of systems, processes, and culture inside TireHub to identify high-value automation and AI opportunities and understand the cross-functional impact of proposed solutions. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT, and vendor partners to design and deliver automation and AI solutions that meet real business needs. Agility and Adaptability: Thrives in a fast-moving AI landscape; actively monitors and experiments with emerging Microsoft AI and automation capabilities to keep TireHub's program at the leading edge. Problem-Solving: Advanced critical thinking skills to diagnose and resolve complex technical issues across automation workflows, AI agent behavior, integration failures, and system performance. Communication: Excellent communication skills to interact with team members, stakeholders, and external partners. Excels at translating AI and automation concepts into clear business value for non-technical audiences. Education/Experience: Bachelor's degree in Computer Science, Information Systems, or related field is preferred. Master's degree is a plus. 7+ years of experience in automation engineering, solution architecture, or a related technical role. 5+ years of hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). 2+ years of experience designing and deploying AI-powered solutions, including conversational AI, AI agents, or LLM-based applications. Demonstrated experience with Microsoft Copilot Studio, including agent design, topic authoring, channel deployment, and integration with enterprise data sources. Experience with Microsoft Foundry (Azure AI Foundry) including model deployment, prompt engineering, RAG pipelines, and responsible AI practices. 2+ years of direct people management or technical lead experience, including managing onshore and/or offshore team members. Experience with Azure integration services including Logic Apps, Service Bus, Azure Functions, and Application Insights. Proficiency in API integration patterns (REST, GraphQL, OAuth/token-based authentication). Proficiency in SQL and at least one programming language (Python, C#, Scala). Demonstrated project management skills and ability to lead cross-functional initiatives in an Agile environment. Required Knowledge, Skills . click apply for full job details
22nd Century Technologies Inc. (TSCTI)
Kinston, North Carolina
Job Description Job Description Duration: 4+ Months Duties: Lays out, assembles, pre-fits, and bonds a variety of metal, composite or laminate fabrications, assemblies, parts, skins, or equipment. Follows engineering and manufacturing specifications and orders to determine parts to be bonded and the temperature and pressure required. Cuts parts or materials to size. Operates autoclave, hydraulic presses, and ovens to complete the bonding cycle. Sands, burrs and smoothes over areas. Applies sealing resins to cut or exposed edges. Process methods and sequences vary depending on compounds, contours and Client-up transitions. May perform complicated rework or repair. May monitor and verify quality in accordance with controlled procedures. Utilize Client-up tools, which include both optical and hard tools, in the fabrication of composite and metal assemblies. Obtain required information from prints, charts, sketches, work orders, documents, verbal and electronic information. Use shop mathematics and precision measuring instruments to complete work assignments. Must verify work performed is per work instruction and meets process and/or engineering specification. Ensure equipment and tool certification occurs per procedure. Use and control of solvents and cleaning solutions in the preparation of details, tools, and assemblies for bonding and paint per established procedures. Perform routine minor machine maintenance as part of their daily work duties Routinely move product within the immediate manufacturing work area, including across isle, using shop assigned equipment as required and complete transactions necessary to move product to the next operation. On an exception basis, moves product to the next operation within a building. Support the continuous flow of product within the manufacturing process by training and assisting employees at all classification levels. 2 years' minimum experience in aviation production or equivalent. Previous experience with Client-ups, assembling, pre-fitting, and bonding a variety of metal, composite or laminate fabrications, assemblies, parts, skins or equipment. Must be able and willing to work any shift to include working overtime as needed. Preferred- 5+ years minimum experience in aviation production. Required Skills: Knowledge of station safety, quality (clean as you go / Foreign Object Debris) and OSHA regulations Must have basic skills of using a variety of tools Good verbal and written communication skills in English. Ability to articulate complex issues to others. Ability to maintain confidentiality in all matters is essential. Demonstrated effectiveness in interpersonal skills. Preferred Technical Systems Proficiency: Able to enter, generate and retrieve information using a computer (SAP and Excel knowledge required) Education Required: High School Diploma/GED or WorkKeys Assessment completion The ability to successfully complete the following training provided by Airbus after recruitment: Health & Safety General aircraft familiarization Quality Training Preferred: Training from a vocational school or previous employer in the use of composite Client-ups and fabrication. Company Description 22nd Century Technologies, Inc. (TSCTI) is one of the fastest-growing IT Services Integrators and Workforce Solutions providers in the United States. Founded in 1997, TSCTI is a Certified National Minority Business Enterprise (MBE) with a workforce of 6,000+ professionals, including 600+ Cybersecurity Subject Matter Experts (SMEs), delivering mission-critical solutions across all 50 U.S. states, Canada, and Mexico. Headquartered in Princeton, NJ, and McLean, VA, with 14 regional offices nationwide, TSCTI provides comprehensive solutions in Digital Transformation, Artificial Intelligence (AI), Cybersecurity, Cloud Computing, IT Infrastructure, Enterprise Modernization, DevSecOps, Managed Services, Workforce Solutions, and Healthcare Staffing. We are a trusted partner to Federal, State, Local, Education (SLED), Healthcare, and Commercial organizations, delivering innovative technology and talent solutions that enable our clients to achieve their strategic objectives. As one of the nation's leading Healthcare Workforce Solutions providers, TSCTI supports federal healthcare systems, Veterans Affairs (VA) Medical Centers, state and local healthcare agencies, hospitals, clinics, laboratories, long-term care facilities, and commercial healthcare organizations. We recruit and place highly qualified healthcare professionals across a wide range of specialties, including physicians, advanced practice providers, registered nurses, allied health professionals, behavioral health specialists, laboratory personnel, pharmacy professionals, and healthcare administrative staff. Our healthcare solutions ensure continuity of care while maintaining the highest standards of clinical excellence and regulatory compliance. With a strong commitment to quality and compliance, TSCTI operates through CMMI Level 3 (Development & Services) and ISO 9001, ISO 20000, and ISO 27001 certified processes, ensuring consistent service excellence, operational maturity, and information security. Today, we proudly support 14 of the 15 Federal Executive Departments, 37 Federal agencies, 50 State governments, 115+ Local agencies, 37 School Districts, numerous healthcare organizations, and 80+ Fortune 500 and commercial clients. TSCTI has earned numerous industry recognitions, including being named among Forbes America's Best Large Employers, Forbes Best Employers for Veterans, Forbes Best Employers for Tech Workers, Newsweek's America's Greatest Workplaces for Diversity, and a 13-time Inc. 5000 honoree. The company has also been recognized by the Washington Business Journal as one of the Best Places to Work and continues to expand its capabilities through strategic innovation, acquisitions, and investments in emerging technologies. At TSCTI, our people are our greatest strength. We are committed to fostering an inclusive, collaborative, and growth-oriented workplace where innovation thrives and careers flourish. Whether delivering cutting-edge technology solutions or connecting exceptional talent with meaningful careers, we consistently exceed our clients' expectations while empowering our employees to succeed. Equal Opportunity Employer 22nd Century Technologies, Inc. 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, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Company Description 22nd Century Technologies, Inc. (TSCTI) is one of the fastest-growing IT Services Integrators and Workforce Solutions providers in the United States. Founded in 1997, TSCTI is a Certified National Minority Business Enterprise (MBE) with a workforce of 6,000+ professionals, including 600+ Cybersecurity Subject Matter Experts (SMEs), delivering mission-critical solutions across all 50 U.S. states, Canada, and Mexico. Headquartered in Princeton, NJ, and McLean, VA, with 14 regional offices nationwide, TSCTI provides comprehensive solutions in Digital Transformation, Artificial Intelligence (AI), Cybersecurity, Cloud Computing, IT Infrastructure, Enterprise Modernization, DevSecOps, Managed Services, Workforce Solutions, and Healthcare Staffing. We are a trusted partner to Federal, State, Local, Education (SLED), Healthcare, and Commercial organizations, delivering innovative technology and talent solutions that enable our clients to achieve their strategic objectives. As one of the nation's leading Healthcare Workforce Solutions providers, TSCTI supports federal healthcare systems, Veterans Affairs (VA) Medical Centers, state and local healthcare agencies, hospitals, clinics, laboratories, long-term care facilities, and commercial healthcare organizations. We recruit and place highly qualified healthcare professionals across a wide range of specialties, including physicians, advanced practice providers, registered nurses, allied health professionals, behavioral health specialists, laboratory personnel, pharmacy professionals, and healthcare administrative staff. Our healthcare solutions ensure continuity of care while maintaining the highest standards of clinical excellence and regulatory compliance. With a strong commitment to quality and compliance, TSCTI operates through CMMI Level 3 (Development & Services) and ISO 9001, ISO 20000, and ISO 27001 certified processes, ensuring consistent service excellence, operational maturity, and information security. Today, we proudly support 14 of the 15 Federal Executive Departments, 37 Federal agencies, 50 State governments, 115+ Local agencies, 37 School Districts, numerous healthcare organizations, and 80+ Fortune 500 and commercial clients. TSCTI has earned numerous industry recognitions, including being named among Forbes America's Best Large Employers, Forbes Best Employers for Veterans, Forbes Best Employers for Tech Workers, Newsweek's America's Greatest Workplaces for Diversity, and a 13-time Inc. 5000 honoree. The company has also been recognized by the Washington Business Journal as one of the Best Places to Work and continues to expand its capabilities through strategic innovation, acquisitions . click apply for full job details
09/28/2026
Full time
Job Description Job Description Duration: 4+ Months Duties: Lays out, assembles, pre-fits, and bonds a variety of metal, composite or laminate fabrications, assemblies, parts, skins, or equipment. Follows engineering and manufacturing specifications and orders to determine parts to be bonded and the temperature and pressure required. Cuts parts or materials to size. Operates autoclave, hydraulic presses, and ovens to complete the bonding cycle. Sands, burrs and smoothes over areas. Applies sealing resins to cut or exposed edges. Process methods and sequences vary depending on compounds, contours and Client-up transitions. May perform complicated rework or repair. May monitor and verify quality in accordance with controlled procedures. Utilize Client-up tools, which include both optical and hard tools, in the fabrication of composite and metal assemblies. Obtain required information from prints, charts, sketches, work orders, documents, verbal and electronic information. Use shop mathematics and precision measuring instruments to complete work assignments. Must verify work performed is per work instruction and meets process and/or engineering specification. Ensure equipment and tool certification occurs per procedure. Use and control of solvents and cleaning solutions in the preparation of details, tools, and assemblies for bonding and paint per established procedures. Perform routine minor machine maintenance as part of their daily work duties Routinely move product within the immediate manufacturing work area, including across isle, using shop assigned equipment as required and complete transactions necessary to move product to the next operation. On an exception basis, moves product to the next operation within a building. Support the continuous flow of product within the manufacturing process by training and assisting employees at all classification levels. 2 years' minimum experience in aviation production or equivalent. Previous experience with Client-ups, assembling, pre-fitting, and bonding a variety of metal, composite or laminate fabrications, assemblies, parts, skins or equipment. Must be able and willing to work any shift to include working overtime as needed. Preferred- 5+ years minimum experience in aviation production. Required Skills: Knowledge of station safety, quality (clean as you go / Foreign Object Debris) and OSHA regulations Must have basic skills of using a variety of tools Good verbal and written communication skills in English. Ability to articulate complex issues to others. Ability to maintain confidentiality in all matters is essential. Demonstrated effectiveness in interpersonal skills. Preferred Technical Systems Proficiency: Able to enter, generate and retrieve information using a computer (SAP and Excel knowledge required) Education Required: High School Diploma/GED or WorkKeys Assessment completion The ability to successfully complete the following training provided by Airbus after recruitment: Health & Safety General aircraft familiarization Quality Training Preferred: Training from a vocational school or previous employer in the use of composite Client-ups and fabrication. Company Description 22nd Century Technologies, Inc. (TSCTI) is one of the fastest-growing IT Services Integrators and Workforce Solutions providers in the United States. Founded in 1997, TSCTI is a Certified National Minority Business Enterprise (MBE) with a workforce of 6,000+ professionals, including 600+ Cybersecurity Subject Matter Experts (SMEs), delivering mission-critical solutions across all 50 U.S. states, Canada, and Mexico. Headquartered in Princeton, NJ, and McLean, VA, with 14 regional offices nationwide, TSCTI provides comprehensive solutions in Digital Transformation, Artificial Intelligence (AI), Cybersecurity, Cloud Computing, IT Infrastructure, Enterprise Modernization, DevSecOps, Managed Services, Workforce Solutions, and Healthcare Staffing. We are a trusted partner to Federal, State, Local, Education (SLED), Healthcare, and Commercial organizations, delivering innovative technology and talent solutions that enable our clients to achieve their strategic objectives. As one of the nation's leading Healthcare Workforce Solutions providers, TSCTI supports federal healthcare systems, Veterans Affairs (VA) Medical Centers, state and local healthcare agencies, hospitals, clinics, laboratories, long-term care facilities, and commercial healthcare organizations. We recruit and place highly qualified healthcare professionals across a wide range of specialties, including physicians, advanced practice providers, registered nurses, allied health professionals, behavioral health specialists, laboratory personnel, pharmacy professionals, and healthcare administrative staff. Our healthcare solutions ensure continuity of care while maintaining the highest standards of clinical excellence and regulatory compliance. With a strong commitment to quality and compliance, TSCTI operates through CMMI Level 3 (Development & Services) and ISO 9001, ISO 20000, and ISO 27001 certified processes, ensuring consistent service excellence, operational maturity, and information security. Today, we proudly support 14 of the 15 Federal Executive Departments, 37 Federal agencies, 50 State governments, 115+ Local agencies, 37 School Districts, numerous healthcare organizations, and 80+ Fortune 500 and commercial clients. TSCTI has earned numerous industry recognitions, including being named among Forbes America's Best Large Employers, Forbes Best Employers for Veterans, Forbes Best Employers for Tech Workers, Newsweek's America's Greatest Workplaces for Diversity, and a 13-time Inc. 5000 honoree. The company has also been recognized by the Washington Business Journal as one of the Best Places to Work and continues to expand its capabilities through strategic innovation, acquisitions, and investments in emerging technologies. At TSCTI, our people are our greatest strength. We are committed to fostering an inclusive, collaborative, and growth-oriented workplace where innovation thrives and careers flourish. Whether delivering cutting-edge technology solutions or connecting exceptional talent with meaningful careers, we consistently exceed our clients' expectations while empowering our employees to succeed. Equal Opportunity Employer 22nd Century Technologies, Inc. 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, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Company Description 22nd Century Technologies, Inc. (TSCTI) is one of the fastest-growing IT Services Integrators and Workforce Solutions providers in the United States. Founded in 1997, TSCTI is a Certified National Minority Business Enterprise (MBE) with a workforce of 6,000+ professionals, including 600+ Cybersecurity Subject Matter Experts (SMEs), delivering mission-critical solutions across all 50 U.S. states, Canada, and Mexico. Headquartered in Princeton, NJ, and McLean, VA, with 14 regional offices nationwide, TSCTI provides comprehensive solutions in Digital Transformation, Artificial Intelligence (AI), Cybersecurity, Cloud Computing, IT Infrastructure, Enterprise Modernization, DevSecOps, Managed Services, Workforce Solutions, and Healthcare Staffing. We are a trusted partner to Federal, State, Local, Education (SLED), Healthcare, and Commercial organizations, delivering innovative technology and talent solutions that enable our clients to achieve their strategic objectives. As one of the nation's leading Healthcare Workforce Solutions providers, TSCTI supports federal healthcare systems, Veterans Affairs (VA) Medical Centers, state and local healthcare agencies, hospitals, clinics, laboratories, long-term care facilities, and commercial healthcare organizations. We recruit and place highly qualified healthcare professionals across a wide range of specialties, including physicians, advanced practice providers, registered nurses, allied health professionals, behavioral health specialists, laboratory personnel, pharmacy professionals, and healthcare administrative staff. Our healthcare solutions ensure continuity of care while maintaining the highest standards of clinical excellence and regulatory compliance. With a strong commitment to quality and compliance, TSCTI operates through CMMI Level 3 (Development & Services) and ISO 9001, ISO 20000, and ISO 27001 certified processes, ensuring consistent service excellence, operational maturity, and information security. Today, we proudly support 14 of the 15 Federal Executive Departments, 37 Federal agencies, 50 State governments, 115+ Local agencies, 37 School Districts, numerous healthcare organizations, and 80+ Fortune 500 and commercial clients. TSCTI has earned numerous industry recognitions, including being named among Forbes America's Best Large Employers, Forbes Best Employers for Veterans, Forbes Best Employers for Tech Workers, Newsweek's America's Greatest Workplaces for Diversity, and a 13-time Inc. 5000 honoree. The company has also been recognized by the Washington Business Journal as one of the Best Places to Work and continues to expand its capabilities through strategic innovation, acquisitions . click apply for full job details
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Mgr, Software Engineering-Fall River Job Code: 42441 Job Location: Fall River, MA Job Description: Are you ready to take your engineering career to the next level and be a part of something truly extraordinary? Join our trailblazing team in Fall River, MA, where you'll dive into the thrilling world of underwater vehicles that are that are pivotal to national defense. Be part of our team that keeps our sailors safe. Imagine working on the front lines of technology, developing state-of-the-art solutions that safeguard our nation's security. You'll collaborate with some of the brightest minds in the industry, in an environment that champions creativity and excellence. If you're passionate about tackling complex challenges and eager to contribute to groundbreaking projects that make a real difference to our warfighters, citizens, and nation; this is your chance to shine. Apply now and embark on this exhilarating journey with us, shaping the future of defense technology! L3Harris is seeking a Software Engineering Manager that can grow a team of software engineers while advancing their own career in management. This leader and motivator interact with software engineers in planning, designing, and testing of complex systems. Our software engineering team is responsible for software requirement development, software test and integration, application and embedded code with C# and C/C++, Windows/Linux based development for autonomous maritime vehicles. Assist with managing and directing the day-to-day activities of the Software Engineering Group, make individual work assignments, monitor individual performance and provide technical direction to individuals in the Group and to program teams. Perform difficult work on highly technical or involved projects. Review and approve formal documentation for release. Estimate labor, capacity, tools, equipment and other resources to operate and adhere to budget and schedule commitments Essential Functions: Leading the software design and development processes including requirements analysis, specifications, design, implementation and development. Driving efficient processes, creating best practices for software development as well as performing code and design reviews. Collaborating with other engineering discipline managers to ensure effective product development. Identifying and establishing development processes and standards to enhance productivity and performance of the team. Contribute to development of new and innovative technologies and processes, including idea submission for internal research and development (IRAD) investments and execution of funded IRAD and Internal Order projects Define capital, tools, equipment and other resources required by the Software Engineering Team Providing mentorship, coaching and guidance to team members with respect to career development and opportunities for growth. Conducting performance evaluations of engineers Managing the recruitment interview and hiring process for additional software engineers. Participating in Engineering Proposal cost estimation and Basis of Estimate efforts Manage organization manpower allocation Qualifications: US Citizen, require and maintain a DoD clearance A Bachelor's Degree in Computer Science, Software, Computer, or Electrical Engineering with a minimum of 12 years of prior related experience. Graduate Degree (A Master's degree is desired but not required) with a minimum of 10 years of prior related experience. In lieu of a degree, there is a minimum of 16 years of prior related experience Must be able to contribute independently to software requirements development, software testing and integration, and application and embedded software development using C#, C, and C++, with an understanding of both Windows and Linux based development. Requires management and leadership knowledge in job area. Has comprehensive knowledge and skills within a specific technical or professional discipline and may have broad understanding of other areas within the job function Experience with recruiting and hiring technical talent Experience developing technical and cost volume inputs for proposals. Experience as a Cost Account Manager utilizing EVMS, Program execution lifecycle Able to travel up to 10% Preferred Additional Skills: Experience working within an Agile development environment is highly desirable. Scrum Team certification and/or experience with Jira. Experience leading proposal development and Basis of Estimate generation Experience with DevOps process, tools, and procedures is highly desirable. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $135,000 MIN - $250,500 MAX .This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Mgr, Software Engineering-Fall River Job Code: 42441 Job Location: Fall River, MA Job Description: Are you ready to take your engineering career to the next level and be a part of something truly extraordinary? Join our trailblazing team in Fall River, MA, where you'll dive into the thrilling world of underwater vehicles that are that are pivotal to national defense. Be part of our team that keeps our sailors safe. Imagine working on the front lines of technology, developing state-of-the-art solutions that safeguard our nation's security. You'll collaborate with some of the brightest minds in the industry, in an environment that champions creativity and excellence. If you're passionate about tackling complex challenges and eager to contribute to groundbreaking projects that make a real difference to our warfighters, citizens, and nation; this is your chance to shine. Apply now and embark on this exhilarating journey with us, shaping the future of defense technology! L3Harris is seeking a Software Engineering Manager that can grow a team of software engineers while advancing their own career in management. This leader and motivator interact with software engineers in planning, designing, and testing of complex systems. Our software engineering team is responsible for software requirement development, software test and integration, application and embedded code with C# and C/C++, Windows/Linux based development for autonomous maritime vehicles. Assist with managing and directing the day-to-day activities of the Software Engineering Group, make individual work assignments, monitor individual performance and provide technical direction to individuals in the Group and to program teams. Perform difficult work on highly technical or involved projects. Review and approve formal documentation for release. Estimate labor, capacity, tools, equipment and other resources to operate and adhere to budget and schedule commitments Essential Functions: Leading the software design and development processes including requirements analysis, specifications, design, implementation and development. Driving efficient processes, creating best practices for software development as well as performing code and design reviews. Collaborating with other engineering discipline managers to ensure effective product development. Identifying and establishing development processes and standards to enhance productivity and performance of the team. Contribute to development of new and innovative technologies and processes, including idea submission for internal research and development (IRAD) investments and execution of funded IRAD and Internal Order projects Define capital, tools, equipment and other resources required by the Software Engineering Team Providing mentorship, coaching and guidance to team members with respect to career development and opportunities for growth. Conducting performance evaluations of engineers Managing the recruitment interview and hiring process for additional software engineers. Participating in Engineering Proposal cost estimation and Basis of Estimate efforts Manage organization manpower allocation Qualifications: US Citizen, require and maintain a DoD clearance A Bachelor's Degree in Computer Science, Software, Computer, or Electrical Engineering with a minimum of 12 years of prior related experience. Graduate Degree (A Master's degree is desired but not required) with a minimum of 10 years of prior related experience. In lieu of a degree, there is a minimum of 16 years of prior related experience Must be able to contribute independently to software requirements development, software testing and integration, and application and embedded software development using C#, C, and C++, with an understanding of both Windows and Linux based development. Requires management and leadership knowledge in job area. Has comprehensive knowledge and skills within a specific technical or professional discipline and may have broad understanding of other areas within the job function Experience with recruiting and hiring technical talent Experience developing technical and cost volume inputs for proposals. Experience as a Cost Account Manager utilizing EVMS, Program execution lifecycle Able to travel up to 10% Preferred Additional Skills: Experience working within an Agile development environment is highly desirable. Scrum Team certification and/or experience with Jira. Experience leading proposal development and Basis of Estimate generation Experience with DevOps process, tools, and procedures is highly desirable. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $135,000 MIN - $250,500 MAX .This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Job Description Job Description Continental Engineering and Manufacturing (CEM) is a family-owned manufacturing company based in Chaska and Frazee, Minnesota. Since 1983, we've been at the forefront of precision machining, welding, and assembly, which has complemented our original focus on drive shaft components and assemblies. We serve a diverse clientele across North America and beyond, offering CNC horizontal and vertical milling, CNC horizontal and vertical turning (with robotic loading), broaching, hobbing, balancing, painting, welding, assembly, inspection, and stocking programs all supported by continuous investments in upgrading equipment and cutting-edge technology. At Continental, we foster a strong, positive culture that values teamwork, collaboration, respect, and the growth of every individual. With an impressive 42-year history of stability and a proud record of never having a single layoff, we provide our employees with a secure and supportive environment. We invest in our team's future by offering training programs that empower our members to enhance their skills and advance their careers. We are ISO certified and committed to delivering cost-efficient, reliable products while building lasting relationships with customers, vendors, employees, and the community. Our air-conditioned shop, generous benefits, and strong emphasis on work-life balance make us a top choice for manufacturing professionals. Job Summary The Quality Assurance Supervisor will be responsible for ensuring that products meet company and customer quality standards through rigorous inspections, accurate documentation, and effective communication. This role plays a critical part in maintaining CEM's reputation for exceptional quality and customer satisfaction. Essential Duties & Responsibilities Conduct inspections at various stages of production, including raw material, first article, in-process, and final inspections. Read and interpret part prints and machining work orders using GD&T principles. Program and operate CMM equipment (PC-DMIS required) for precision measurement and verification. Use quality inspection tools such as calipers, micrometers, bore gauges, and height gauges. Document inspection results accurately and maintain quality records in accordance with ISO 9001:2015 standards. Communicate inspection results to relevant team members and follow up on corrective actions. Assist with maintaining ISO 9001:2015 compliance, including supporting audits and maintaining certifications. Work collaboratively with production and engineering teams to ensure customer requirements are met. Perform other related duties as assigned. Qualifications High school diploma or GED required; technical training in quality assurance or machining preferred. Experience in a manufacturing quality role, preferably in an ISO 9001:2015 certified environment. Proficiency in reading part prints and using GD&T. Experience programming and operating CMM equipment (PC-DMIS). Proficiency in Microsoft Excel, Word, and quality-specific software (e.g., Gage InSite). Strong math skills, including fractions, percentages, geometry, and trigonometry. Excellent communication skills and customer-focused mindset. High attention to detail, organization, and dependability. What We Offer Set weekday schedule - no weekends Air-conditioned shop $500 deductible medical insurance, 100% paid by CEM Dental & vision insurance Generous paid time off starting from day 1 Paid holidays from day 1 Annual bonuses 401(k) with 4% company match Quarterly team luncheons and holiday parties Stable, family-owned company with 42 years of zero layoffs Company Description Continental Engineering and Manufacturing (CEM) is a family-owned manufacturing company based in Chaska and Frazee, Minnesota. Since 1983, we've been at the forefront of precision machining, welding, and assembly, which has complemented our original focus on drive shaft components and assemblies. We serve a diverse clientele across North America and beyond, offering CNC horizontal and vertical milling, CNC horizontal and vertical turning (with robotic loading), broaching, hobbing, balancing, painting, welding, assembly, inspection, and stocking programs all supported by continuous investments in upgrading equipment and cutting-edge technology. At Continental, we foster a strong, positive culture that values teamwork, collaboration, respect, and the growth of every individual. With an impressive 42-year history of stability and a proud record of never having a single layoff, we provide our employees with a secure and supportive environment. We invest in our team's future by offering training programs that empower our members to enhance their skills and advance their careers. We are ISO certified and committed to delivering cost-efficient, reliable products while building lasting relationships with customers, vendors, employees, and the community. Our air-conditioned shop, generous benefits, and strong emphasis on work-life balance make us a top choice for manufacturing professionals. Company Description Continental Engineering and Manufacturing (CEM) is a family-owned manufacturing company based in Chaska and Frazee, Minnesota. Since 1983, we've been at the forefront of precision machining, welding, and assembly, which has complemented our original focus on drive shaft components and assemblies. We serve a diverse clientele across North America and beyond, offering CNC horizontal and vertical milling, CNC horizontal and vertical turning (with robotic loading), broaching, hobbing, balancing, painting, welding, assembly, inspection, and stocking programs all supported by continuous investments in upgrading equipment and cutting-edge technology. At Continental, we foster a strong, positive culture that values teamwork, collaboration, respect, and the growth of every individual. With an impressive 42-year history of stability and a proud record of never having a single layoff, we provide our employees with a secure and supportive environment. We invest in our team's future by offering training programs that empower our members to enhance their skills and advance their careers. We are ISO certified and committed to delivering cost-efficient, reliable products while building lasting relationships with customers, vendors, employees, and the community. Our air-conditioned shop, generous benefits, and strong emphasis on work-life balance make us a top choice for manufacturing professionals.
09/28/2026
Full time
Job Description Job Description Continental Engineering and Manufacturing (CEM) is a family-owned manufacturing company based in Chaska and Frazee, Minnesota. Since 1983, we've been at the forefront of precision machining, welding, and assembly, which has complemented our original focus on drive shaft components and assemblies. We serve a diverse clientele across North America and beyond, offering CNC horizontal and vertical milling, CNC horizontal and vertical turning (with robotic loading), broaching, hobbing, balancing, painting, welding, assembly, inspection, and stocking programs all supported by continuous investments in upgrading equipment and cutting-edge technology. At Continental, we foster a strong, positive culture that values teamwork, collaboration, respect, and the growth of every individual. With an impressive 42-year history of stability and a proud record of never having a single layoff, we provide our employees with a secure and supportive environment. We invest in our team's future by offering training programs that empower our members to enhance their skills and advance their careers. We are ISO certified and committed to delivering cost-efficient, reliable products while building lasting relationships with customers, vendors, employees, and the community. Our air-conditioned shop, generous benefits, and strong emphasis on work-life balance make us a top choice for manufacturing professionals. Job Summary The Quality Assurance Supervisor will be responsible for ensuring that products meet company and customer quality standards through rigorous inspections, accurate documentation, and effective communication. This role plays a critical part in maintaining CEM's reputation for exceptional quality and customer satisfaction. Essential Duties & Responsibilities Conduct inspections at various stages of production, including raw material, first article, in-process, and final inspections. Read and interpret part prints and machining work orders using GD&T principles. Program and operate CMM equipment (PC-DMIS required) for precision measurement and verification. Use quality inspection tools such as calipers, micrometers, bore gauges, and height gauges. Document inspection results accurately and maintain quality records in accordance with ISO 9001:2015 standards. Communicate inspection results to relevant team members and follow up on corrective actions. Assist with maintaining ISO 9001:2015 compliance, including supporting audits and maintaining certifications. Work collaboratively with production and engineering teams to ensure customer requirements are met. Perform other related duties as assigned. Qualifications High school diploma or GED required; technical training in quality assurance or machining preferred. Experience in a manufacturing quality role, preferably in an ISO 9001:2015 certified environment. Proficiency in reading part prints and using GD&T. Experience programming and operating CMM equipment (PC-DMIS). Proficiency in Microsoft Excel, Word, and quality-specific software (e.g., Gage InSite). Strong math skills, including fractions, percentages, geometry, and trigonometry. Excellent communication skills and customer-focused mindset. High attention to detail, organization, and dependability. What We Offer Set weekday schedule - no weekends Air-conditioned shop $500 deductible medical insurance, 100% paid by CEM Dental & vision insurance Generous paid time off starting from day 1 Paid holidays from day 1 Annual bonuses 401(k) with 4% company match Quarterly team luncheons and holiday parties Stable, family-owned company with 42 years of zero layoffs Company Description Continental Engineering and Manufacturing (CEM) is a family-owned manufacturing company based in Chaska and Frazee, Minnesota. Since 1983, we've been at the forefront of precision machining, welding, and assembly, which has complemented our original focus on drive shaft components and assemblies. We serve a diverse clientele across North America and beyond, offering CNC horizontal and vertical milling, CNC horizontal and vertical turning (with robotic loading), broaching, hobbing, balancing, painting, welding, assembly, inspection, and stocking programs all supported by continuous investments in upgrading equipment and cutting-edge technology. At Continental, we foster a strong, positive culture that values teamwork, collaboration, respect, and the growth of every individual. With an impressive 42-year history of stability and a proud record of never having a single layoff, we provide our employees with a secure and supportive environment. We invest in our team's future by offering training programs that empower our members to enhance their skills and advance their careers. We are ISO certified and committed to delivering cost-efficient, reliable products while building lasting relationships with customers, vendors, employees, and the community. Our air-conditioned shop, generous benefits, and strong emphasis on work-life balance make us a top choice for manufacturing professionals. Company Description Continental Engineering and Manufacturing (CEM) is a family-owned manufacturing company based in Chaska and Frazee, Minnesota. Since 1983, we've been at the forefront of precision machining, welding, and assembly, which has complemented our original focus on drive shaft components and assemblies. We serve a diverse clientele across North America and beyond, offering CNC horizontal and vertical milling, CNC horizontal and vertical turning (with robotic loading), broaching, hobbing, balancing, painting, welding, assembly, inspection, and stocking programs all supported by continuous investments in upgrading equipment and cutting-edge technology. At Continental, we foster a strong, positive culture that values teamwork, collaboration, respect, and the growth of every individual. With an impressive 42-year history of stability and a proud record of never having a single layoff, we provide our employees with a secure and supportive environment. We invest in our team's future by offering training programs that empower our members to enhance their skills and advance their careers. We are ISO certified and committed to delivering cost-efficient, reliable products while building lasting relationships with customers, vendors, employees, and the community. Our air-conditioned shop, generous benefits, and strong emphasis on work-life balance make us a top choice for manufacturing professionals.
Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details
09/28/2026
Full time
AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details
AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details
09/28/2026
Full time
AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details
Director, AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer Richmond, VA: $244,700 - $279,200 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details
09/28/2026
Full time
Director, AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer Richmond, VA: $244,700 - $279,200 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details
AI Engineer 5 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
09/28/2026
Full time
AI Engineer 5 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
