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. Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements. 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: Lead, Information Security Systems Engineering (ISSE) Job Code: 40400 Job Location: Chantilly, VA Job Schedule: 5/8 Monday - Friday Job Description: The successful candidate will support a highly motivated engineering team in defining, designing, implementing, documenting, testing and sustaining security solutions on National Security Systems, or other systems engineered for our government customers, using current standards within National Institute of Standards & Technology (NIST) Risk Management Framework, Special Publications 800-37, 800-53, 800-171, and other NIST publications; Committee on National Security Systems Instruction (CNNSI) 1253, Joint SAP Implementation Guide (JSIG), and Federal Information Processing Standards (FIPS) to certify and achieve system accreditations. The successful candidate will work with system developers or commercial product vendors in the design and evaluation of state-of-the-art secure systems, networks, and database products, using methods such as encryption technology, vulnerability analysis and security management. Essential Functions: Exercise skills in NIST Risk Management Framework (RMF) and all related NIST publications, to include writing System Security Plans, Security Control Traceability Matrix, Continuous Monitoring Plan, Security Assessment Plans & Procedures, Security Concept of Operations, Plan of Action and Milestones. Perform skills in implementing/assessing security controls, to include writing system security categorization memorandum, recommending appropriate security control overlays, define security control baseline based on defined system security categorization and approved security overlays, and apply security controls to computing/network nodes and verify implementation of security controls. Assist in systems/software engineering functions, to include creation of data flow diagrams, interface control documents, perform trade studies, and Static Application Security Testing (SAST) for Application Security and Development Secure Technical Implementation Guide (STIG) compliance using tools such as Fortify/Coverity and Gitlab as part of a DevSecOps Continuous Integration/Continuous Deployment (CI/CD) Pipeline, and generation of summary reports. Define/manage systems/security architectures including cyber survivability attributes (including zero trust architecture), system security boundaries, vulnerability management and risk mitigation and remediation strategies within networks, systems, applications and new technology initiatives (hardware, software, firewalls, intrusion detection systems, anti-virus systems and software deployment tools); and Infrastructure/Platform/Software-as-a-Service (IaaS/PaaS/Saas) implementations in cloud environments. This position is performed 100% onsite and cannot be performed remotely. Up to 25% travel is possible Qualifications: Education Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 6 years of prior related experience. In lieu of a degree, minimum of 12 years of prior related experience. Must have active TS/SCI clearance and willing to undergo a CI Polygraph. Active TS/SCI with poly is highly desired. DoD 8140.03 IASAE Level 2 certification. Preferred Additional Skills: Perform Model Based System Engineering (UML, SysML, UAF). Confugure/operate vulnerability analysis tools such Tenable NESSUS Security products. Develop dashboards, configure rules and operate/administer SEIM/audit reduction tools (e.g., Splunk). In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,500 - $236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $110,500 - $205,500. 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. xibtplm 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, citizenshi
08/03/2026
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. Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements. 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: Lead, Information Security Systems Engineering (ISSE) Job Code: 40400 Job Location: Chantilly, VA Job Schedule: 5/8 Monday - Friday Job Description: The successful candidate will support a highly motivated engineering team in defining, designing, implementing, documenting, testing and sustaining security solutions on National Security Systems, or other systems engineered for our government customers, using current standards within National Institute of Standards & Technology (NIST) Risk Management Framework, Special Publications 800-37, 800-53, 800-171, and other NIST publications; Committee on National Security Systems Instruction (CNNSI) 1253, Joint SAP Implementation Guide (JSIG), and Federal Information Processing Standards (FIPS) to certify and achieve system accreditations. The successful candidate will work with system developers or commercial product vendors in the design and evaluation of state-of-the-art secure systems, networks, and database products, using methods such as encryption technology, vulnerability analysis and security management. Essential Functions: Exercise skills in NIST Risk Management Framework (RMF) and all related NIST publications, to include writing System Security Plans, Security Control Traceability Matrix, Continuous Monitoring Plan, Security Assessment Plans & Procedures, Security Concept of Operations, Plan of Action and Milestones. Perform skills in implementing/assessing security controls, to include writing system security categorization memorandum, recommending appropriate security control overlays, define security control baseline based on defined system security categorization and approved security overlays, and apply security controls to computing/network nodes and verify implementation of security controls. Assist in systems/software engineering functions, to include creation of data flow diagrams, interface control documents, perform trade studies, and Static Application Security Testing (SAST) for Application Security and Development Secure Technical Implementation Guide (STIG) compliance using tools such as Fortify/Coverity and Gitlab as part of a DevSecOps Continuous Integration/Continuous Deployment (CI/CD) Pipeline, and generation of summary reports. Define/manage systems/security architectures including cyber survivability attributes (including zero trust architecture), system security boundaries, vulnerability management and risk mitigation and remediation strategies within networks, systems, applications and new technology initiatives (hardware, software, firewalls, intrusion detection systems, anti-virus systems and software deployment tools); and Infrastructure/Platform/Software-as-a-Service (IaaS/PaaS/Saas) implementations in cloud environments. This position is performed 100% onsite and cannot be performed remotely. Up to 25% travel is possible Qualifications: Education Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 6 years of prior related experience. In lieu of a degree, minimum of 12 years of prior related experience. Must have active TS/SCI clearance and willing to undergo a CI Polygraph. Active TS/SCI with poly is highly desired. DoD 8140.03 IASAE Level 2 certification. Preferred Additional Skills: Perform Model Based System Engineering (UML, SysML, UAF). Confugure/operate vulnerability analysis tools such Tenable NESSUS Security products. Develop dashboards, configure rules and operate/administer SEIM/audit reduction tools (e.g., Splunk). In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,500 - $236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $110,500 - $205,500. 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. xibtplm 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, citizenshi
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Ford's legacy of innovation is about to reach new heights. Imagine being on the ground floor of something truly extraordinary. At BlueOval Battery Park Michigan, we're not just assembling battery systems; we're leading a transformation. As a key member of our start-up team, you'll have a once-in-a-lifetime opportunity to launch a state-of-the-art manufacturing facility from the ground up. Imagine: you, at the forefront of the electrification movement, helping to bring the next generation of vehicles to driveways, job sites and highways everywhere. At BlueOval Battery Park Michigan, you will • use your entrepreneurial skills and team mindset to come up with data-driven solutions • build and lead an agile team to deliver the advanced technology that drives the future • create a culture of trust, encourage diversity of thought and foster leadership in others • be part of the historic transformation of the automotive industry. What you'll do Ensure adherence and compliance to the Ford Production System (FPS) Key Unifying Processes (KUP) Understand and consistently apply standard manufacturing operating systems and principles Enforce compliance with Safety Operating System practices to achieve zero injuries Ensure compliance with Quality Operating System practices to achieve zero defects Data Pipeline Development Develop Workflows to automate repetitive data tasks Connect enterprise applications, SaaS platforms, and manufacturing or operational systems using APIs, event-driven messaging, and orchestration workflows Perform data profiling, mapping, and modeling to ensure accuracy, consistency, and compliance with governance standards Identify and implement Controls Best Practice; launch Enablers, Training, and Change Control, etc. Liaison with IT on IT / Controls interface issues Drawing approvals and updates, Hydraulic, Pneumatic, Electrical Monitor use of Structured software specification, organize training for OEM's where required Issue resolution during machine build, installation, and steady state production Troubleshoot and resolve production-related downtime (i.e. PLC programs, HMI Screens, etc.) Setup and maintenance of industrial bar code scanners and printers Run-off equipment per Ford specifications at supplier and plant to validate capability and robustness including safety Ensure production systems meet objectives through Process Design and FMEAs Work with plant and Manufacturing Engineering personnel with appropriate timing and installation documentation, to ensure efficient/timely installation and validation Ensure the identification and capture of lessons learned along with their application to new programs, as well as the impact to existing strategies and standards Troubleshoot PLC, robot, and other automation problems Update program backups for automation Program new installations of vision, fastening, dispense, leak test, electrical test, gantry and conveyor systems Reprogram automation for engineering changes and improvements Candidates must possess full flexibility and a readiness to consistently work across all established standard, operating, and rotational shift schedules, encompassing day, night, weekend, and holiday shifts. You'll have Bachelor's degree 4+ years data engineering experience 2+ years data visualization (reports, dashboards) experience 2+ years' Experience using Python, SQL, C++, Java, or similar platform for automation and data processing. Even better, you may have Master's degree, engineering or computer science Experience Programming PLC's Power Bi Expertise Fundamental Working Knowledge of Industrial Electronics, PLC Logic, and Controls Ability to demonstrate leadership behaviors combined with outstanding interpersonal, team building, leadership, and communication skills. Capability to learn, use, and troubleshoot new software and hardware systems to solve manufacturing problems that users are facing. Knowledge of Mfg. 4.0 (Industry 4.0) key principles - Data Collection, AI/ML, IIOT, Digital Twin Ability to understand networking and controls architectures. Knowledge of data structures and algorithms You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. This position is a range of salary grades 5-8 and ranges from $65,100-$166,200. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-.
08/03/2026
Full time
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Ford's legacy of innovation is about to reach new heights. Imagine being on the ground floor of something truly extraordinary. At BlueOval Battery Park Michigan, we're not just assembling battery systems; we're leading a transformation. As a key member of our start-up team, you'll have a once-in-a-lifetime opportunity to launch a state-of-the-art manufacturing facility from the ground up. Imagine: you, at the forefront of the electrification movement, helping to bring the next generation of vehicles to driveways, job sites and highways everywhere. At BlueOval Battery Park Michigan, you will • use your entrepreneurial skills and team mindset to come up with data-driven solutions • build and lead an agile team to deliver the advanced technology that drives the future • create a culture of trust, encourage diversity of thought and foster leadership in others • be part of the historic transformation of the automotive industry. What you'll do Ensure adherence and compliance to the Ford Production System (FPS) Key Unifying Processes (KUP) Understand and consistently apply standard manufacturing operating systems and principles Enforce compliance with Safety Operating System practices to achieve zero injuries Ensure compliance with Quality Operating System practices to achieve zero defects Data Pipeline Development Develop Workflows to automate repetitive data tasks Connect enterprise applications, SaaS platforms, and manufacturing or operational systems using APIs, event-driven messaging, and orchestration workflows Perform data profiling, mapping, and modeling to ensure accuracy, consistency, and compliance with governance standards Identify and implement Controls Best Practice; launch Enablers, Training, and Change Control, etc. Liaison with IT on IT / Controls interface issues Drawing approvals and updates, Hydraulic, Pneumatic, Electrical Monitor use of Structured software specification, organize training for OEM's where required Issue resolution during machine build, installation, and steady state production Troubleshoot and resolve production-related downtime (i.e. PLC programs, HMI Screens, etc.) Setup and maintenance of industrial bar code scanners and printers Run-off equipment per Ford specifications at supplier and plant to validate capability and robustness including safety Ensure production systems meet objectives through Process Design and FMEAs Work with plant and Manufacturing Engineering personnel with appropriate timing and installation documentation, to ensure efficient/timely installation and validation Ensure the identification and capture of lessons learned along with their application to new programs, as well as the impact to existing strategies and standards Troubleshoot PLC, robot, and other automation problems Update program backups for automation Program new installations of vision, fastening, dispense, leak test, electrical test, gantry and conveyor systems Reprogram automation for engineering changes and improvements Candidates must possess full flexibility and a readiness to consistently work across all established standard, operating, and rotational shift schedules, encompassing day, night, weekend, and holiday shifts. You'll have Bachelor's degree 4+ years data engineering experience 2+ years data visualization (reports, dashboards) experience 2+ years' Experience using Python, SQL, C++, Java, or similar platform for automation and data processing. Even better, you may have Master's degree, engineering or computer science Experience Programming PLC's Power Bi Expertise Fundamental Working Knowledge of Industrial Electronics, PLC Logic, and Controls Ability to demonstrate leadership behaviors combined with outstanding interpersonal, team building, leadership, and communication skills. Capability to learn, use, and troubleshoot new software and hardware systems to solve manufacturing problems that users are facing. Knowledge of Mfg. 4.0 (Industry 4.0) key principles - Data Collection, AI/ML, IIOT, Digital Twin Ability to understand networking and controls architectures. Knowledge of data structures and algorithms You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. This position is a range of salary grades 5-8 and ranges from $65,100-$166,200. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-.
Senior. Distinguished 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. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree 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, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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 VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details
08/03/2026
Full time
Senior. Distinguished 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. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree 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, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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 VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details
Distinguished 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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 VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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. . click apply for full job details
08/03/2026
Full time
Distinguished 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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 VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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. . click apply for full job details
Distinguished 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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 VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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. . click apply for full job details
08/03/2026
Full time
Distinguished 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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 VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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. . click apply for full job details
Senior. Distinguished 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. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree 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, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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 VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details
08/03/2026
Full time
Senior. Distinguished 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. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree 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, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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 VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details
Position Summary We are seeking an experienced Azure Cloud Architect to lead the design, governance, and implementation of enterprise cloud architecture across a hybrid and multi-cloud environment. This role is responsible for developing cloud architecture frameworks, standards, governance models, and best practices while partnering with business stakeholders and technology teams to deliver scalable, secure, resilient, and cost-effective cloud solutions. The ideal candidate will possess deep expertise in Microsoft Azure, strong hybrid infrastructure knowledge, and hands-on experience with Infrastructure as Code (IaC), cloud networking, security, and cloud migration strategies. The architect will serve as a trusted advisor, guiding engineering teams and influencing cloud strategy across the organization. Key Responsibilities Cloud Architecture & Strategy Design enterprise-grade Azure cloud architectures that align with business objectives, security policies, and compliance requirements. Develop cloud architecture standards, governance frameworks, reference architectures, and implementation guidelines. Assess existing applications and infrastructure for cloud readiness and create migration and modernization roadmaps. Design scalable, highly available, resilient, and cost-optimized cloud solutions. Create and maintain architecture diagrams and technical documentation using Microsoft Visio. Azure Platform & Cloud Services Architect solutions utilizing Azure compute services including Virtual Machines, Virtual Machine Scale Sets, and Azure Batch. Design storage solutions leveraging Azure Storage Accounts, Blob Storage, Azure Files, Queues, Tables, and Azure Data Lake. Architect data platforms using Azure SQL Database, Managed Instance, Cosmos DB, Synapse Analytics, Microsoft Fabric, Azure Data Factory, Databricks, and Event Hubs. Design serverless and application hosting solutions using Azure Functions, App Services, Logic Apps, and App Service Environment (ASE). Design container-based solutions using AKS, Kubernetes, Docker, and OpenShift. Infrastructure as Code & Automation Develop and implement Infrastructure as Code (IaC) solutions using Terraform, ARM Templates, or Pulumi. Design and support CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or similar automation platforms. Automate infrastructure provisioning and configuration management using Ansible, Chef, or Puppet. Drive cloud automation initiatives to improve operational efficiency and deployment consistency. Cloud Security & Governance Implement Azure security best practices including IAM, RBAC, NSGs, ASGs, WAF, Managed Identities, Service Principals, Azure Key Vault, Azure Defender for Cloud, and Azure Advisor. Design secure cloud architectures aligned with Zero Trust principles. Ensure compliance with industry frameworks including CIS, NIST, ISO 27001, and organizational security policies. Collaborate with cybersecurity teams to enhance cloud security posture and governance. Networking & Hybrid Cloud Design and implement enterprise networking solutions including Virtual Networks, Hub-and-Spoke architecture, VNet Peering, Application Gateway, Load Balancers, Traffic Manager, VPN Gateway, and ExpressRoute. Design hybrid cloud connectivity integrating on-premises infrastructure with Azure services. Optimize application delivery using Azure Front Door, Cloudflare, or Akamai CDN solutions. Support multi-cloud interoperability with Azure, AWS, GCP, and Oracle Cloud Infrastructure (OCI). Performance Optimization & FinOps Optimize cloud resources for performance, scalability, and cost efficiency. Implement monitoring and observability using Azure Monitor, Azure Resource Health, Network Watcher, and SolarWinds. Develop disaster recovery and backup strategies aligned with business continuity objectives and RTO/RPO requirements. Apply FinOps principles to improve cloud cost visibility, governance, and optimization. Troubleshooting & Operational Support Provide technical leadership for complex cloud infrastructure issues. Perform root cause analysis using Azure-native monitoring and diagnostic tools. Guide engineering teams on architecture best practices and technical problem resolution. Collaboration & Leadership Partner with Infrastructure, Network, DevOps, Cybersecurity, Finance, Procurement, and Application teams to define cloud strategies. Translate business requirements into scalable technical architectures. Lead architecture reviews, technical discussions, and cloud governance initiatives. Mentor cloud engineers and promote adoption of cloud best practices across the organization. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience). 8+ years of overall IT infrastructure experience. 6 10 years of hands-on Microsoft Azure experience. Strong expertise designing enterprise Azure cloud architectures. Experience with hybrid cloud and on-premises infrastructure integration. Hands-on experience with Azure networking, security, governance, and automation. Experience implementing Infrastructure as Code using Terraform, ARM Templates, or Pulumi. Strong scripting skills using Azure PowerShell and Azure CLI. Experience with Kubernetes, Docker, and Azure Kubernetes Service (AKS). Knowledge of disaster recovery, high availability, backup strategies, and business continuity planning. Excellent communication, documentation, and stakeholder management skills. Current Microsoft Certified: Azure Solutions Architect Expert (AZ-305) certification (strongly preferred).
08/03/2026
Full time
Position Summary We are seeking an experienced Azure Cloud Architect to lead the design, governance, and implementation of enterprise cloud architecture across a hybrid and multi-cloud environment. This role is responsible for developing cloud architecture frameworks, standards, governance models, and best practices while partnering with business stakeholders and technology teams to deliver scalable, secure, resilient, and cost-effective cloud solutions. The ideal candidate will possess deep expertise in Microsoft Azure, strong hybrid infrastructure knowledge, and hands-on experience with Infrastructure as Code (IaC), cloud networking, security, and cloud migration strategies. The architect will serve as a trusted advisor, guiding engineering teams and influencing cloud strategy across the organization. Key Responsibilities Cloud Architecture & Strategy Design enterprise-grade Azure cloud architectures that align with business objectives, security policies, and compliance requirements. Develop cloud architecture standards, governance frameworks, reference architectures, and implementation guidelines. Assess existing applications and infrastructure for cloud readiness and create migration and modernization roadmaps. Design scalable, highly available, resilient, and cost-optimized cloud solutions. Create and maintain architecture diagrams and technical documentation using Microsoft Visio. Azure Platform & Cloud Services Architect solutions utilizing Azure compute services including Virtual Machines, Virtual Machine Scale Sets, and Azure Batch. Design storage solutions leveraging Azure Storage Accounts, Blob Storage, Azure Files, Queues, Tables, and Azure Data Lake. Architect data platforms using Azure SQL Database, Managed Instance, Cosmos DB, Synapse Analytics, Microsoft Fabric, Azure Data Factory, Databricks, and Event Hubs. Design serverless and application hosting solutions using Azure Functions, App Services, Logic Apps, and App Service Environment (ASE). Design container-based solutions using AKS, Kubernetes, Docker, and OpenShift. Infrastructure as Code & Automation Develop and implement Infrastructure as Code (IaC) solutions using Terraform, ARM Templates, or Pulumi. Design and support CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or similar automation platforms. Automate infrastructure provisioning and configuration management using Ansible, Chef, or Puppet. Drive cloud automation initiatives to improve operational efficiency and deployment consistency. Cloud Security & Governance Implement Azure security best practices including IAM, RBAC, NSGs, ASGs, WAF, Managed Identities, Service Principals, Azure Key Vault, Azure Defender for Cloud, and Azure Advisor. Design secure cloud architectures aligned with Zero Trust principles. Ensure compliance with industry frameworks including CIS, NIST, ISO 27001, and organizational security policies. Collaborate with cybersecurity teams to enhance cloud security posture and governance. Networking & Hybrid Cloud Design and implement enterprise networking solutions including Virtual Networks, Hub-and-Spoke architecture, VNet Peering, Application Gateway, Load Balancers, Traffic Manager, VPN Gateway, and ExpressRoute. Design hybrid cloud connectivity integrating on-premises infrastructure with Azure services. Optimize application delivery using Azure Front Door, Cloudflare, or Akamai CDN solutions. Support multi-cloud interoperability with Azure, AWS, GCP, and Oracle Cloud Infrastructure (OCI). Performance Optimization & FinOps Optimize cloud resources for performance, scalability, and cost efficiency. Implement monitoring and observability using Azure Monitor, Azure Resource Health, Network Watcher, and SolarWinds. Develop disaster recovery and backup strategies aligned with business continuity objectives and RTO/RPO requirements. Apply FinOps principles to improve cloud cost visibility, governance, and optimization. Troubleshooting & Operational Support Provide technical leadership for complex cloud infrastructure issues. Perform root cause analysis using Azure-native monitoring and diagnostic tools. Guide engineering teams on architecture best practices and technical problem resolution. Collaboration & Leadership Partner with Infrastructure, Network, DevOps, Cybersecurity, Finance, Procurement, and Application teams to define cloud strategies. Translate business requirements into scalable technical architectures. Lead architecture reviews, technical discussions, and cloud governance initiatives. Mentor cloud engineers and promote adoption of cloud best practices across the organization. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience). 8+ years of overall IT infrastructure experience. 6 10 years of hands-on Microsoft Azure experience. Strong expertise designing enterprise Azure cloud architectures. Experience with hybrid cloud and on-premises infrastructure integration. Hands-on experience with Azure networking, security, governance, and automation. Experience implementing Infrastructure as Code using Terraform, ARM Templates, or Pulumi. Strong scripting skills using Azure PowerShell and Azure CLI. Experience with Kubernetes, Docker, and Azure Kubernetes Service (AKS). Knowledge of disaster recovery, high availability, backup strategies, and business continuity planning. Excellent communication, documentation, and stakeholder management skills. Current Microsoft Certified: Azure Solutions Architect Expert (AZ-305) certification (strongly preferred).
Job Overview: Pay Range $33hr - $38hr Requirement/Must Have: Bachelor's degree in Knowledge Management, Business Administration, Information Systems/Management, Computer Science, UX Design, Organizational Development, Data/Business Analytics, or equivalent experience OR 5 years with Knowledge Management experience. 3 5 years of experience in knowledge management (any tool), content strategy, intranet management, digital workplace operations, or a related specialist/practitioner role. Hands-on experience configuring and maintaining SharePoint Online sites, pages, libraries, lists, metadata, views, permissions, navigation, web parts, and content lifecycle settings. Experience with content lifecycle management, governance, audits, review cycles, ownership models, version control, archival, and retirement practices. Strong understanding of metadata, taxonomy, search fundamentals, information architecture, and content findability. Strong verbal and written communication skills, facilitation, stakeholder management, organization, prioritization, and customer support skills. Responsibilities: Develop and maintain knowledge management practices that support business needs, improve the employee user experience, and align with enterprise content standards. Assess existing content through inventories, audits, and gap analysis to identify opportunities to improve quality, relevance, and usability. Apply taxonomy, metadata, ownership, review cadence, version control, naming standards, and lifecycle practices to keep knowledge assets organized, current, and easy to find. Work with SMEs to turn complex or fragmented information into clear QRGs, SOPs, training materials, and support content employees can use with confidence. Act as a trusted partner for stakeholders, content owners, and SharePoint site owners. Lead training, office hours, onboarding, guidance, and customer support for users, SMEs, and content contributors. Help teams keep site content accurate and current while coordinating escalation for platform defects, enhancement requests, or code changes as needed. Configure and maintain SharePoint Online sites, pages, libraries, lists, permissions, navigation, metadata, web parts, and content structures. Organize, consolidate, migrate, archive, retire, or remediate outdated SharePoint sites and knowledge repositories. Improve findability by using metadata, navigation, Microsoft Search, content health metrics, usage data, search analytics, zero-result searches, broken link reports, and stakeholder feedback. Strengthen AI-ready knowledge practices by improving content structure, metadata quality, ownership, and source reliability for enterprise search and Microsoft 365 experiences. Use user-centered design principles to improve site navigation, information architecture, content Client, and content placement. Nice to Have: Experience with Power BI, Power Automate, Power Apps, Microsoft Teams, Microsoft Search, or search analytics. Familiarity with accessibility standards, UX practices, content design methods, and user-centered design principles. Experience working in an enterprise intranet, digital workplace, or large corporate environment with distributed content ownership. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
08/03/2026
Full time
Job Overview: Pay Range $33hr - $38hr Requirement/Must Have: Bachelor's degree in Knowledge Management, Business Administration, Information Systems/Management, Computer Science, UX Design, Organizational Development, Data/Business Analytics, or equivalent experience OR 5 years with Knowledge Management experience. 3 5 years of experience in knowledge management (any tool), content strategy, intranet management, digital workplace operations, or a related specialist/practitioner role. Hands-on experience configuring and maintaining SharePoint Online sites, pages, libraries, lists, metadata, views, permissions, navigation, web parts, and content lifecycle settings. Experience with content lifecycle management, governance, audits, review cycles, ownership models, version control, archival, and retirement practices. Strong understanding of metadata, taxonomy, search fundamentals, information architecture, and content findability. Strong verbal and written communication skills, facilitation, stakeholder management, organization, prioritization, and customer support skills. Responsibilities: Develop and maintain knowledge management practices that support business needs, improve the employee user experience, and align with enterprise content standards. Assess existing content through inventories, audits, and gap analysis to identify opportunities to improve quality, relevance, and usability. Apply taxonomy, metadata, ownership, review cadence, version control, naming standards, and lifecycle practices to keep knowledge assets organized, current, and easy to find. Work with SMEs to turn complex or fragmented information into clear QRGs, SOPs, training materials, and support content employees can use with confidence. Act as a trusted partner for stakeholders, content owners, and SharePoint site owners. Lead training, office hours, onboarding, guidance, and customer support for users, SMEs, and content contributors. Help teams keep site content accurate and current while coordinating escalation for platform defects, enhancement requests, or code changes as needed. Configure and maintain SharePoint Online sites, pages, libraries, lists, permissions, navigation, metadata, web parts, and content structures. Organize, consolidate, migrate, archive, retire, or remediate outdated SharePoint sites and knowledge repositories. Improve findability by using metadata, navigation, Microsoft Search, content health metrics, usage data, search analytics, zero-result searches, broken link reports, and stakeholder feedback. Strengthen AI-ready knowledge practices by improving content structure, metadata quality, ownership, and source reliability for enterprise search and Microsoft 365 experiences. Use user-centered design principles to improve site navigation, information architecture, content Client, and content placement. Nice to Have: Experience with Power BI, Power Automate, Power Apps, Microsoft Teams, Microsoft Search, or search analytics. Familiarity with accessibility standards, UX practices, content design methods, and user-centered design principles. Experience working in an enterprise intranet, digital workplace, or large corporate environment with distributed content ownership. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Genesis10 is currently seeking a Senior Network Engineer for a contract position with a Technology Company located in Burlington, MA. This is a 3-4 month contract opportunity. Pay $75.00 - $85.00ph W2 DOE This is an immediate, short-term engagement to support several critical network initiatives. The ideal candidate will be a senior-level engineer with deep hands-on expertise in large-scale enterprise networking, including Cisco, Juniper, and Palo Alto platforms, as well as hybrid cloud environments spanning AWS, Azure, and GCP. Responsibilities: Lead, maintain and support hybrid cloud networking strategies leveraging AWS Direct Connect, Azure ExpressRoute, and multi-region connectivity Architect and lead implementation of scalable, resilient, and secure network solutions across global data centers, cloud environments, and corporate sites Design next-generation data center fabrics using EVPN/VXLAN, BGP, and spine-leaf topologies Develop hybrid cloud networking strategies leveraging AWS, GCP, and Azure Oversee lifecycle management of core network infrastructure, including Cisco Nexus, Juniper QFX, and Palo Alto firewalls Define standards for wireless architecture, including predictive site surveys, RF planning, and performance optimization Drive automation and orchestration initiatives to streamline network operations Lead global network operations workflows, ensuring high availability and performance Establish proactive monitoring, alerting, and incident response protocols for critical infrastructure Maintain comprehensive network documentation, including diagrams, topologies, and CMDB entries Collaborate with Security and Compliance teams to implement segmentation and threat detection strategies Develop and maintain disaster recovery and business continuity plans for network infrastructure Partner with engineers for remote data center operations, including cabling and hardware deployment Engage with Engineering, Cloud, and IT teams to support product launches and infrastructure scaling Requirements: Experience in enterprise network engineering within a lead or principal role Expert-level knowledge of Cisco Nexus 9K/7K, Juniper QFX, and Palo Alto NGFW platforms Proven experience designing and deploying EVPN/VXLAN fabrics and BGP-based architectures Strong understanding of cloud networking and direct interconnects across AWS, Azure, and GCP Experience managing global network environments across multiple regions and time zones Strong experience with network troubleshooting, optimization, and operational support Excellent communication, documentation, and technical leadership skills Desired skills: Certifications such as CCIE, JNCIE, or equivalent expert-level credentials Experience with network automation tools and languages, including Python, Ansible, and Terraform Familiarity with VPN technologies and Zero Trust architectures Knowledge of network observability tools such as NetBox, Grafana, and SolarWinds Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
08/03/2026
Full time
Genesis10 is currently seeking a Senior Network Engineer for a contract position with a Technology Company located in Burlington, MA. This is a 3-4 month contract opportunity. Pay $75.00 - $85.00ph W2 DOE This is an immediate, short-term engagement to support several critical network initiatives. The ideal candidate will be a senior-level engineer with deep hands-on expertise in large-scale enterprise networking, including Cisco, Juniper, and Palo Alto platforms, as well as hybrid cloud environments spanning AWS, Azure, and GCP. Responsibilities: Lead, maintain and support hybrid cloud networking strategies leveraging AWS Direct Connect, Azure ExpressRoute, and multi-region connectivity Architect and lead implementation of scalable, resilient, and secure network solutions across global data centers, cloud environments, and corporate sites Design next-generation data center fabrics using EVPN/VXLAN, BGP, and spine-leaf topologies Develop hybrid cloud networking strategies leveraging AWS, GCP, and Azure Oversee lifecycle management of core network infrastructure, including Cisco Nexus, Juniper QFX, and Palo Alto firewalls Define standards for wireless architecture, including predictive site surveys, RF planning, and performance optimization Drive automation and orchestration initiatives to streamline network operations Lead global network operations workflows, ensuring high availability and performance Establish proactive monitoring, alerting, and incident response protocols for critical infrastructure Maintain comprehensive network documentation, including diagrams, topologies, and CMDB entries Collaborate with Security and Compliance teams to implement segmentation and threat detection strategies Develop and maintain disaster recovery and business continuity plans for network infrastructure Partner with engineers for remote data center operations, including cabling and hardware deployment Engage with Engineering, Cloud, and IT teams to support product launches and infrastructure scaling Requirements: Experience in enterprise network engineering within a lead or principal role Expert-level knowledge of Cisco Nexus 9K/7K, Juniper QFX, and Palo Alto NGFW platforms Proven experience designing and deploying EVPN/VXLAN fabrics and BGP-based architectures Strong understanding of cloud networking and direct interconnects across AWS, Azure, and GCP Experience managing global network environments across multiple regions and time zones Strong experience with network troubleshooting, optimization, and operational support Excellent communication, documentation, and technical leadership skills Desired skills: Certifications such as CCIE, JNCIE, or equivalent expert-level credentials Experience with network automation tools and languages, including Python, Ansible, and Terraform Familiarity with VPN technologies and Zero Trust architectures Knowledge of network observability tools such as NetBox, Grafana, and SolarWinds Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Network Engineer Team Lead Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Keep Uline connected. As a Network Engineer Team Lead at Uline, you'll drive the design, reliability and optimization for the Data Center network infrastructure across our growing North American company. Use your expertise to set technical direction, lead innovation and mentor a high-performing team to support one of the largest ecommerce operations in the U.S. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Own the full Data Center lifecycle, by designing, implementing and optimizing IT networks and cloud environments to ensure reliable operations. Oversee and develop a team of network engineers, fostering a culture of high performance and collaboration. Evaluate and integrate emerging technologies, such as SD-WAN and zero-trust network access to enhance security and performance. Partner with IT teams to ensure the Data Center network architecture supports organizational security and business objectives. Minimum Requirements Bachelor's degree. Major in Information Technology, Computer Science or similar preferred. 7+ years of network engineering experience, with 2+ years in a team lead or leadership role. Proficient in routing and switching protocols, such as BGP, OSPF, and MPLS. Hands-on experience with Cisco networking technologies and network monitoring tools. CCNA or CCNP certification preferred. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!
08/03/2026
Full time
Network Engineer Team Lead Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Keep Uline connected. As a Network Engineer Team Lead at Uline, you'll drive the design, reliability and optimization for the Data Center network infrastructure across our growing North American company. Use your expertise to set technical direction, lead innovation and mentor a high-performing team to support one of the largest ecommerce operations in the U.S. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Own the full Data Center lifecycle, by designing, implementing and optimizing IT networks and cloud environments to ensure reliable operations. Oversee and develop a team of network engineers, fostering a culture of high performance and collaboration. Evaluate and integrate emerging technologies, such as SD-WAN and zero-trust network access to enhance security and performance. Partner with IT teams to ensure the Data Center network architecture supports organizational security and business objectives. Minimum Requirements Bachelor's degree. Major in Information Technology, Computer Science or similar preferred. 7+ years of network engineering experience, with 2+ years in a team lead or leadership role. Proficient in routing and switching protocols, such as BGP, OSPF, and MPLS. Hands-on experience with Cisco networking technologies and network monitoring tools. CCNA or CCNP certification preferred. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!
Position - Security Engineer Location - Fort Worth, TX (Hybrid) Job ID - 178604 Position Overview We are seeking a Directory Services Engineer to support critical cybersecurity initiatives focused on identity infrastructure security, Tier 0 protection, and resiliency. This role is hands-on and execution-focused, working across Active Directory, Microsoft Entra ID (Azure AD), and hybrid identity environments. The engineer will play a key role in hardening identity systems, identifying attack paths, and implementing remediation actions to reduce enterprise risk. Key Responsibilities Identity Engineering & Operations • Administer and support Active Directory (AD) and Microsoft Entra ID (Azure AD) environments. • Implement and manage Azure AD Connect / Entra Connect for hybrid identity synchronization. • Support domain controllers, forests, trusts, and authentication services. • Execute identity-related changes, configurations, and deployments. Security Hardening & Tier 0 Protection • Implement security controls for Tier 0 assets (AD, Entra ID, domain controllers). • Perform system hardening in alignment with cybersecurity standards. • Support initiatives for privileged access restrictions and identity protection. • Remediate identified security gaps and misconfigurations. Attack Path Identification & Remediation • Analyze and identify identity-based attack paths across on-prem and cloud environments. • Support remediation efforts to eliminate: o Privilege escalation paths o Excessive permissions o Identity misconfigurations • Partner with cybersecurity teams to reduce identity attack surface. Resiliency & Recovery Support • Implement and validate Active Directory forest recovery procedures. • Support backup, restore, and testing activities for identity systems. • Assist in improving resiliency and recoverability of Tier 0 infrastructure. Integration Support • Assist in integration and configuration of identity with: o MFA / Conditional Access o PAM (e.g., CyberArk) o IGA (e.g., Saviynt) o Secrets and certificate platforms (e.g., HashiCorp, Keyfactor) • Support identity governance and access control initiatives. Automation & Execution • Use PowerShell and scripting to automate identity tasks and remediation. • Execute predefined engineering tasks, runbooks, and operational procedures. • Document configurations, changes, and implementation steps. Job Description: Operationalize automated data discovery, classification, and inventory; apply sensitivity labels and consistent taxonomy across data stores, pipelines, and collaboration systems. Engineer DSPM capabilities with tools (e.g., Securiti, BigID) to surface data posture risks (overexposure, shadow data, stale sensitive data) and drive remediation workflows. Implement and support encryption, tokenization, masking, anonymization/pseudonymization for data at rest and in transit; integrate with cloud key management systems and enforce approved cryptographic standards; define crypto baselines and policy-as-code guardrails. Configure and govern access controls with RBAC/ABAC and purpose-based authorization; perform least-privilege and fine-grained access reviews across data platforms. Deploy, tune, and operate DLP and DAM solutions (e.g., Microsoft Purview DLP, Imperva/Guardium); build detections for PII/PCI/PHI and reduce false positives with policy and context improvements. Integrate and tune UEBA and Insider Risk signals to detect anomalous data access and exfiltration, partner on response workflows and preventive control changes. Integrate data protection telemetry with SIEM/SOAR; build detections, correlation rules, and automated response playbooks for data-related threats and policy violations. Implement data minimization and retention/ROT enforcement patterns; automate monitoring of lifecycle actions (archive, delete, redact) aligned to policy and legal holds. Implement DSAR (data subject access request) orchestration and fulfillment with SLA monitoring; automate data collection, redaction, and secure delivery with audit trails. Contribute to cookie/tag governance and catalog assurance; validate consent signals, storage durations, and vendor script behavior against policy. Support privacy platform capabilities and integrate with identity, ticketing, data catalogs/lineage, and evidence repositories. Embed data protection and privacy-by-design controls into services and CI/CD (pre-commit/CI privacy code scanning, secret scanning, schema checks for sensitive fields, data egress policies). Produce compliance evidence and reports for GDPR/CCPA/CPRA, PCI DSS, HIPAA, and internal audits; maintain controls health dashboards, regulatory tracking, and program KPIs. Investigate data-related incidents and privacy events in partnership with IR/SOC/Privacy Office. Collect artifacts, support forensics, document findings, and drive preventive engineering fixes. Conduct platform hardening and vulnerability remediation for data control tooling (misconfigurations, exposed buckets, weak crypto, excessive permissions). Participate in red teaming/tabletop exercises for data scenarios (insider misuse, public link exposures, unintended AI training data); translate findings into control improvements. Partner with Cybersecurity, Privacy Office, Enterprise Data, Legal, and product/platform teams to align designs and deliver privacy- and data protection-by-design outcomes. Document engineering patterns, runbooks, and reference architectures; create training and technical guidance that strengthen secure data handling practices across teams. Communicate clearly and concisely with technical and non?technical audiences - summarize incidents, risks, and recommended actions with accurate, complete context. Required Skills & Experience 3-7 years of hands-on experience in: Active Directory administration/engineering Microsoft Entra ID (Azure AD) Azure AD Connect / hybrid identity environments Experience with: AD security hardening Identity-related attack techniques (privilege escalation, lateral movement) Attack path analysis or remediation activities Strong working knowledge of: Tier 0 concepts and identity as a control plane Authentication protocols (Kerberos, NTLM, SAML, OAuth) Preferred Experience Exposure to: CyberArk or other PAM tools Saviynt or similar IGA platforms Ping Identity or federation solutions HashiCorp Vault, Keyfactor, or PKI environments Experience supporting AD forest recovery exercises Familiarity with Zero Trust principles Key Traits for Success Strong execution and delivery focus Security and resiliency mindset Ability to quickly identify and remediate risks Works effectively in a cross-functional cybersecurity environment Comfortable working in fast-paced, project-driven (contract) engagements Pay Range: $65 - $70/Hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
08/03/2026
Full time
Position - Security Engineer Location - Fort Worth, TX (Hybrid) Job ID - 178604 Position Overview We are seeking a Directory Services Engineer to support critical cybersecurity initiatives focused on identity infrastructure security, Tier 0 protection, and resiliency. This role is hands-on and execution-focused, working across Active Directory, Microsoft Entra ID (Azure AD), and hybrid identity environments. The engineer will play a key role in hardening identity systems, identifying attack paths, and implementing remediation actions to reduce enterprise risk. Key Responsibilities Identity Engineering & Operations • Administer and support Active Directory (AD) and Microsoft Entra ID (Azure AD) environments. • Implement and manage Azure AD Connect / Entra Connect for hybrid identity synchronization. • Support domain controllers, forests, trusts, and authentication services. • Execute identity-related changes, configurations, and deployments. Security Hardening & Tier 0 Protection • Implement security controls for Tier 0 assets (AD, Entra ID, domain controllers). • Perform system hardening in alignment with cybersecurity standards. • Support initiatives for privileged access restrictions and identity protection. • Remediate identified security gaps and misconfigurations. Attack Path Identification & Remediation • Analyze and identify identity-based attack paths across on-prem and cloud environments. • Support remediation efforts to eliminate: o Privilege escalation paths o Excessive permissions o Identity misconfigurations • Partner with cybersecurity teams to reduce identity attack surface. Resiliency & Recovery Support • Implement and validate Active Directory forest recovery procedures. • Support backup, restore, and testing activities for identity systems. • Assist in improving resiliency and recoverability of Tier 0 infrastructure. Integration Support • Assist in integration and configuration of identity with: o MFA / Conditional Access o PAM (e.g., CyberArk) o IGA (e.g., Saviynt) o Secrets and certificate platforms (e.g., HashiCorp, Keyfactor) • Support identity governance and access control initiatives. Automation & Execution • Use PowerShell and scripting to automate identity tasks and remediation. • Execute predefined engineering tasks, runbooks, and operational procedures. • Document configurations, changes, and implementation steps. Job Description: Operationalize automated data discovery, classification, and inventory; apply sensitivity labels and consistent taxonomy across data stores, pipelines, and collaboration systems. Engineer DSPM capabilities with tools (e.g., Securiti, BigID) to surface data posture risks (overexposure, shadow data, stale sensitive data) and drive remediation workflows. Implement and support encryption, tokenization, masking, anonymization/pseudonymization for data at rest and in transit; integrate with cloud key management systems and enforce approved cryptographic standards; define crypto baselines and policy-as-code guardrails. Configure and govern access controls with RBAC/ABAC and purpose-based authorization; perform least-privilege and fine-grained access reviews across data platforms. Deploy, tune, and operate DLP and DAM solutions (e.g., Microsoft Purview DLP, Imperva/Guardium); build detections for PII/PCI/PHI and reduce false positives with policy and context improvements. Integrate and tune UEBA and Insider Risk signals to detect anomalous data access and exfiltration, partner on response workflows and preventive control changes. Integrate data protection telemetry with SIEM/SOAR; build detections, correlation rules, and automated response playbooks for data-related threats and policy violations. Implement data minimization and retention/ROT enforcement patterns; automate monitoring of lifecycle actions (archive, delete, redact) aligned to policy and legal holds. Implement DSAR (data subject access request) orchestration and fulfillment with SLA monitoring; automate data collection, redaction, and secure delivery with audit trails. Contribute to cookie/tag governance and catalog assurance; validate consent signals, storage durations, and vendor script behavior against policy. Support privacy platform capabilities and integrate with identity, ticketing, data catalogs/lineage, and evidence repositories. Embed data protection and privacy-by-design controls into services and CI/CD (pre-commit/CI privacy code scanning, secret scanning, schema checks for sensitive fields, data egress policies). Produce compliance evidence and reports for GDPR/CCPA/CPRA, PCI DSS, HIPAA, and internal audits; maintain controls health dashboards, regulatory tracking, and program KPIs. Investigate data-related incidents and privacy events in partnership with IR/SOC/Privacy Office. Collect artifacts, support forensics, document findings, and drive preventive engineering fixes. Conduct platform hardening and vulnerability remediation for data control tooling (misconfigurations, exposed buckets, weak crypto, excessive permissions). Participate in red teaming/tabletop exercises for data scenarios (insider misuse, public link exposures, unintended AI training data); translate findings into control improvements. Partner with Cybersecurity, Privacy Office, Enterprise Data, Legal, and product/platform teams to align designs and deliver privacy- and data protection-by-design outcomes. Document engineering patterns, runbooks, and reference architectures; create training and technical guidance that strengthen secure data handling practices across teams. Communicate clearly and concisely with technical and non?technical audiences - summarize incidents, risks, and recommended actions with accurate, complete context. Required Skills & Experience 3-7 years of hands-on experience in: Active Directory administration/engineering Microsoft Entra ID (Azure AD) Azure AD Connect / hybrid identity environments Experience with: AD security hardening Identity-related attack techniques (privilege escalation, lateral movement) Attack path analysis or remediation activities Strong working knowledge of: Tier 0 concepts and identity as a control plane Authentication protocols (Kerberos, NTLM, SAML, OAuth) Preferred Experience Exposure to: CyberArk or other PAM tools Saviynt or similar IGA platforms Ping Identity or federation solutions HashiCorp Vault, Keyfactor, or PKI environments Experience supporting AD forest recovery exercises Familiarity with Zero Trust principles Key Traits for Success Strong execution and delivery focus Security and resiliency mindset Ability to quickly identify and remediate risks Works effectively in a cross-functional cybersecurity environment Comfortable working in fast-paced, project-driven (contract) engagements Pay Range: $65 - $70/Hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
This is a senior Microsoft cloud platform engineering role covering the full Microsoft 365/Azure/security stack: designing and operating M365, Azure, and Microsoft Security services for reliability and scale, while implementing security controls aligned to NIST 800-53, Zero Trust (NIST 800-207), and FedRAMP Moderate. It includes identity and access management through Entra ID and Conditional Access, administration of collaboration services (Exchange Online, Teams, SharePoint), and Azure infrastructure support across hybrid environments. Security operations work spans Defender and Purview for threat protection and data governance, all tied together with formal change management, documentation, and a senior advisory role supporting audits, assessments, and cross-team architecture decisions.
08/03/2026
Full time
This is a senior Microsoft cloud platform engineering role covering the full Microsoft 365/Azure/security stack: designing and operating M365, Azure, and Microsoft Security services for reliability and scale, while implementing security controls aligned to NIST 800-53, Zero Trust (NIST 800-207), and FedRAMP Moderate. It includes identity and access management through Entra ID and Conditional Access, administration of collaboration services (Exchange Online, Teams, SharePoint), and Azure infrastructure support across hybrid environments. Security operations work spans Defender and Purview for threat protection and data governance, all tied together with formal change management, documentation, and a senior advisory role supporting audits, assessments, and cross-team architecture decisions.
About Arcticom, LLC Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: Business Analyst Location - Beavercreek, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary Range: $100k - 140k Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Own, prioritize, and maintain the product backlog for the Service Desk and User Access platforms. Ensure user stories are clearly defined and ready for development sprints. Act as the primary liaison between government sponsors, functional community leads, and the technical delivery team to gather requirements and communicate product vision. Create and maintain a strategic product roadmap that anticipates future enterprise needs, such as Zero Trust architecture integration and automated provisioning. Supervise day-to-day Service Desk operations and user access workflows, ensuring Service Level Agreements (SLAs) and key performance indicators are consistently met. Assist in drafting project schedules, managing resource allocations, and tracking milestones. Identify operational risks and compliance issues (e.g., unauthorized access risks, SLA breaches) and develop mitigation strategies in alignment with security protocols. Generate recurring performance reports, compile operational metrics, and brief leadership on team throughput, ticket resolution times, and access provisioning bottlenecks. Analyze and document current-state service desk and user access workflows and user onboarding/offboarding processes. Design optimized future-state process maps. Gather detailed technical and functional requirements from stakeholders for system upgrades, new user community implementation and existing user community migration. Design, build, and maintain automated reporting dashboards to track Service Desk Key Performance Indicators (KPIs), Service Level Agreements (SLAs), and operational throughput. Analyze historical ticket data and user access requests to identify bottlenecks, forecast support demands, and recommend solutions for recurring issues. Required (Minimum Necessary) Qualifications Education Requirements: Must have a bachelor's degree or 5-10 years equivalent experience Level of Experience Requirements: Ten (10) years of USAF Logistics knowledge. Hold or have the ability to acquire a government security clearance; requires U.S. citizenship. Knowledge, Skills, Abilities, and Other Characteristics Experience in process mapping, data modeling, taxonomies, ontological models, and systems analysis required. Proficiency in data visualization tools (e.g., Tableau, Power BI, Qlik) Strong written and verbal communication skills, ability to communicate technical and business information effectively to both technical and non-technical people. Ability to understand our business, be a team player and enjoy working in a team-oriented environment. Strong problem solving/decision-making skills. Experience leading and influencing others, including senior level personnel. Process design and implementation. Demonstrated analytical skills. Strong collaboration skills. Ability to translate operational policies into technical user stories Experience managing cross-functional teams Advanced proficiency in Excel. Intermediate proficiency with Power Point, SharePoint, Power Automate. Proficient with Jira and Confluence. Strong quantitative analysis capabilities Demonstrated knowledge of Agile methodology. Demonstrated knowledge of project management discipline. Strong organizational skills. Technical document writing. Knowledge of ELMS and Air Force logistics systems Preferred Project Management certification desired, but not required Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. The work described herein is primarily a modern office setting. Occasional travel may be required. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
08/03/2026
Full time
About Arcticom, LLC Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: Business Analyst Location - Beavercreek, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary Range: $100k - 140k Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Own, prioritize, and maintain the product backlog for the Service Desk and User Access platforms. Ensure user stories are clearly defined and ready for development sprints. Act as the primary liaison between government sponsors, functional community leads, and the technical delivery team to gather requirements and communicate product vision. Create and maintain a strategic product roadmap that anticipates future enterprise needs, such as Zero Trust architecture integration and automated provisioning. Supervise day-to-day Service Desk operations and user access workflows, ensuring Service Level Agreements (SLAs) and key performance indicators are consistently met. Assist in drafting project schedules, managing resource allocations, and tracking milestones. Identify operational risks and compliance issues (e.g., unauthorized access risks, SLA breaches) and develop mitigation strategies in alignment with security protocols. Generate recurring performance reports, compile operational metrics, and brief leadership on team throughput, ticket resolution times, and access provisioning bottlenecks. Analyze and document current-state service desk and user access workflows and user onboarding/offboarding processes. Design optimized future-state process maps. Gather detailed technical and functional requirements from stakeholders for system upgrades, new user community implementation and existing user community migration. Design, build, and maintain automated reporting dashboards to track Service Desk Key Performance Indicators (KPIs), Service Level Agreements (SLAs), and operational throughput. Analyze historical ticket data and user access requests to identify bottlenecks, forecast support demands, and recommend solutions for recurring issues. Required (Minimum Necessary) Qualifications Education Requirements: Must have a bachelor's degree or 5-10 years equivalent experience Level of Experience Requirements: Ten (10) years of USAF Logistics knowledge. Hold or have the ability to acquire a government security clearance; requires U.S. citizenship. Knowledge, Skills, Abilities, and Other Characteristics Experience in process mapping, data modeling, taxonomies, ontological models, and systems analysis required. Proficiency in data visualization tools (e.g., Tableau, Power BI, Qlik) Strong written and verbal communication skills, ability to communicate technical and business information effectively to both technical and non-technical people. Ability to understand our business, be a team player and enjoy working in a team-oriented environment. Strong problem solving/decision-making skills. Experience leading and influencing others, including senior level personnel. Process design and implementation. Demonstrated analytical skills. Strong collaboration skills. Ability to translate operational policies into technical user stories Experience managing cross-functional teams Advanced proficiency in Excel. Intermediate proficiency with Power Point, SharePoint, Power Automate. Proficient with Jira and Confluence. Strong quantitative analysis capabilities Demonstrated knowledge of Agile methodology. Demonstrated knowledge of project management discipline. Strong organizational skills. Technical document writing. Knowledge of ELMS and Air Force logistics systems Preferred Project Management certification desired, but not required Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. The work described herein is primarily a modern office setting. Occasional travel may be required. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future The primary mission of the Lead Data Engineer role is to help our business evolve into a data and insights-driven organization. The Lead Data Engineer will provide technical leadership to our Product Team. This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing engineering solutions along with the team. In addition, this person focuses on empowering and enabling our business users through self-service and automation. The Lead Data Engineer is a key role in operationalizing Lennar's enterprise data fabric. Your Responsibilities on the Team Design, Build, and Operationalize: Formulate production-grade data engineering solutions for Lennar's data and analytics platforms and products. Pipeline Architecture: Architect and implement reliable ETL, ELT, and streaming data ingestion/delivery processes across multiple enterprise sources. Modern Python Development: Develop, maintain, and containerize modular data applications and utility scripts using Python, leveraging modern cloud infrastructure. Scale and Improve Infrastructure: Improve data ingestion architecture, emphasizing data quality, cost-performance, maintainability, and extensibility across storage and compute layers. Enforce Standards and Downstream Integrity: Define and implement engineering standards for the data team (including code modularization, version control, automated testing, and secure CI/CD workflows). Ensure strict guidelines for schema evolution to safeguard downstream analytics from unilateral changes. Platform Observability: Instrument data analytics platforms with robust metrics, alerting, and automated monitoring (SLAs/SLOs) to ensure high availability and data trustworthiness. AI-Driven Productivity: Leverage modern AI-assisted development tools within daily engineering workflows to accelerate code generation, optimize heavy queries, and improve overall delivery speed. AI/ML Integration: Collaborate with data science teams to design and optimize data layers specifically tailored for Generative AI applications, Retrieval-Augmented Generation (RAG), and LLM frameworks. Ecosystem Integration: Wrangle and integrate data from highly disparate production systems to allow data analysts and data scientists to leverage optimized, end-to-end data products. Business Alignment: Gain a deep understanding of core business processes and align technical data development with strategic business objectives. Requirements Core Expertise (8+ years preferred) in: Data Architecture & Enterprise Modeling: Advanced data warehousing concepts, cloud data lakes, and structured multi-layer designs (Bronze, Silver, Gold). Advanced Data Transformations: Designing complex operational pipelines, data cleanup, and robust standardization strategies. Production SDLC & Workflow Best Practices: Rigorous code reviews, end-to-end testing/QA methodologies, and resilient error-handling frameworks. Data Governance & Security: Implementing enterprise-level role-based access controls (RBAC), data compliance, and secure environments. Strong Technical Experience (3+ to 6+ years) with: Advanced Python Development: Writing clean, object-oriented, and production-grade Python code for complex data manipulation, automation, and API communication. AWS Platform & Containerization: Hands-on experience deploying, managing, and scaling containerized data workloads using AWS ECS (Elastic Container Service) and ECR. Core AWS architecture: S3, IAM, Lambda, EC2, CloudWatch, and CloudTrail. AWS Certification is a strong plus. Snowflake Data Cloud: Account administration, optimal virtual warehouse clustering strategies, and budget-optimization. Expert feature implementation: Data Sharing, Time Travel, and Zero-copy cloning. dbt (Data Build Tool): Managing multi-repository dbt projects and configuring dbt Cloud environments. Creating, documenting, and optimizing advanced dbt models and custom macros. AI-Assisted Engineering & Data Tools: Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, or Claude/OpenAI APIs) to maximize development efficiency. Familiarity with cloud-native AI services (e.g., Snowflake Cortex or AWS Bedrock) for embedding LLM capabilities directly inside the data layer. Exposure to frameworks used for AI data preparation (e.g., LangChain, Vector Databases, or text embedding generation). Data Ingestion & Integration: Incremental loading and Change Data Capture (CDC) methods. Extensive experience querying and integrating with complex external REST APIs. Version Control & CI/CD: Advanced Git/GitHub branching strategies, pull request enforcement, and automated deployment pipelines. Familiarity (1+ years of experience) with: Orchestration & Scheduling: Tools like Prefect, Airflow, or similar modern workflow management software. Data Replication: Enterprise tools such as Qlik Replicate. Soft Skills & Collaboration A "Product-First" Mindset: Demonstrated ability to partner directly with business users and stakeholders to gather solution requirements and translate them into technical assets. Collaborative Drive: Ability to work productively across parallel tracks (Software, Devops, Data) to achieve corporate objectives while protecting engineering quality. Technical Curiosity: A sharp mind and willingness to quickly master new technologies, architectures, and changing business domains. Physical & Office/Site Presence Requirements: This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. Travel up to 10% of the time to Divisions within the Lennar family. Interact well with co-workers. Cross train for position(s) within the team organizational structure from time to time, as required by the Leadership Team. Comply with and implement company policies and procedures. Accept constructive criticism. Strong work ethic. Team player. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
08/03/2026
Full time
Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future The primary mission of the Lead Data Engineer role is to help our business evolve into a data and insights-driven organization. The Lead Data Engineer will provide technical leadership to our Product Team. This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing engineering solutions along with the team. In addition, this person focuses on empowering and enabling our business users through self-service and automation. The Lead Data Engineer is a key role in operationalizing Lennar's enterprise data fabric. Your Responsibilities on the Team Design, Build, and Operationalize: Formulate production-grade data engineering solutions for Lennar's data and analytics platforms and products. Pipeline Architecture: Architect and implement reliable ETL, ELT, and streaming data ingestion/delivery processes across multiple enterprise sources. Modern Python Development: Develop, maintain, and containerize modular data applications and utility scripts using Python, leveraging modern cloud infrastructure. Scale and Improve Infrastructure: Improve data ingestion architecture, emphasizing data quality, cost-performance, maintainability, and extensibility across storage and compute layers. Enforce Standards and Downstream Integrity: Define and implement engineering standards for the data team (including code modularization, version control, automated testing, and secure CI/CD workflows). Ensure strict guidelines for schema evolution to safeguard downstream analytics from unilateral changes. Platform Observability: Instrument data analytics platforms with robust metrics, alerting, and automated monitoring (SLAs/SLOs) to ensure high availability and data trustworthiness. AI-Driven Productivity: Leverage modern AI-assisted development tools within daily engineering workflows to accelerate code generation, optimize heavy queries, and improve overall delivery speed. AI/ML Integration: Collaborate with data science teams to design and optimize data layers specifically tailored for Generative AI applications, Retrieval-Augmented Generation (RAG), and LLM frameworks. Ecosystem Integration: Wrangle and integrate data from highly disparate production systems to allow data analysts and data scientists to leverage optimized, end-to-end data products. Business Alignment: Gain a deep understanding of core business processes and align technical data development with strategic business objectives. Requirements Core Expertise (8+ years preferred) in: Data Architecture & Enterprise Modeling: Advanced data warehousing concepts, cloud data lakes, and structured multi-layer designs (Bronze, Silver, Gold). Advanced Data Transformations: Designing complex operational pipelines, data cleanup, and robust standardization strategies. Production SDLC & Workflow Best Practices: Rigorous code reviews, end-to-end testing/QA methodologies, and resilient error-handling frameworks. Data Governance & Security: Implementing enterprise-level role-based access controls (RBAC), data compliance, and secure environments. Strong Technical Experience (3+ to 6+ years) with: Advanced Python Development: Writing clean, object-oriented, and production-grade Python code for complex data manipulation, automation, and API communication. AWS Platform & Containerization: Hands-on experience deploying, managing, and scaling containerized data workloads using AWS ECS (Elastic Container Service) and ECR. Core AWS architecture: S3, IAM, Lambda, EC2, CloudWatch, and CloudTrail. AWS Certification is a strong plus. Snowflake Data Cloud: Account administration, optimal virtual warehouse clustering strategies, and budget-optimization. Expert feature implementation: Data Sharing, Time Travel, and Zero-copy cloning. dbt (Data Build Tool): Managing multi-repository dbt projects and configuring dbt Cloud environments. Creating, documenting, and optimizing advanced dbt models and custom macros. AI-Assisted Engineering & Data Tools: Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, or Claude/OpenAI APIs) to maximize development efficiency. Familiarity with cloud-native AI services (e.g., Snowflake Cortex or AWS Bedrock) for embedding LLM capabilities directly inside the data layer. Exposure to frameworks used for AI data preparation (e.g., LangChain, Vector Databases, or text embedding generation). Data Ingestion & Integration: Incremental loading and Change Data Capture (CDC) methods. Extensive experience querying and integrating with complex external REST APIs. Version Control & CI/CD: Advanced Git/GitHub branching strategies, pull request enforcement, and automated deployment pipelines. Familiarity (1+ years of experience) with: Orchestration & Scheduling: Tools like Prefect, Airflow, or similar modern workflow management software. Data Replication: Enterprise tools such as Qlik Replicate. Soft Skills & Collaboration A "Product-First" Mindset: Demonstrated ability to partner directly with business users and stakeholders to gather solution requirements and translate them into technical assets. Collaborative Drive: Ability to work productively across parallel tracks (Software, Devops, Data) to achieve corporate objectives while protecting engineering quality. Technical Curiosity: A sharp mind and willingness to quickly master new technologies, architectures, and changing business domains. Physical & Office/Site Presence Requirements: This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. Travel up to 10% of the time to Divisions within the Lennar family. Interact well with co-workers. Cross train for position(s) within the team organizational structure from time to time, as required by the Leadership Team. Comply with and implement company policies and procedures. Accept constructive criticism. Strong work ethic. Team player. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
Capgemini Government Solutions LLC
San Antonio, Texas
Capgemini Government Solutions (CGS) LLC seeks a highly skilled Identity Platform (IdP) Engineer to join our Zero Trust Architecture team. In this role, you will be the one primary architect and administrator for identity services that form the "new perimeter" of our enterprise. You will bridge the gap between traditional networking and modern identity-centric security, ensuring that every access request is fully authenticated, authorized, and encrypted. Job Responsibilities: As Identity Platform (IdP) Engineer, you will be responsible for: Design and implement identity-based access control policies that adhere to Zero Trust principles (Never Trust, Always Verify). Lead the deployment, configuration, and optimization of PingFederate and Ping Access to provide seamless SSO and attribute-based access control (ABAC). Manage the full lifecycle of Identity, Credential, and Access Management (ICAM), including automated provisioning and complex directory integrations. Collaborate with the SOC and Network teams to integrate identity signals into our broader security monitoring and incident response workflows. Act as the subject matter expert for integrating PingFederate as the core Identity Provider (IdP) with third-party Zero Trust ecosystem components, including Privileged Access Manager (PAM), Master User Record (MUR) and Identity Governance and Administration (IGA). Create and maintain authentication policies, including Multi-Factor Authentication (MFA) and Risk-Based Authentication (RBA). Knowledge of directory services (Active Directory, LDAP, Azure AD). Familiarity with NIST 800-207 Zero Trust Architecture standards. A security-first mindset with the ability to troubleshoot complex authentication handshakes. Provide guidance and hands-on training for onboarding new applications into PingFederate using self-service templates, OIDC, and SAML to ensure consistent security standards across the enterprise. Required Qualifications: Have an active Secret Government security clearance that requires U.S. citizenship Bachelor's degree in computer science, Information Technology, Cybersecurity, or a related technical field. Minimum of 6 years of hands-on experience in ICAM (Identity, Credential, and Access Management) within enterprise or government environments. Deep proficiency with PingFederate (OIDC, SAML, OAuth protocols). Strong experience with Ping Access for protecting web applications and APIs at the gateway level. Active CompTIA Security+ (or equivalent IAT Level II certification) to meet compliance requirements About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get the future you want Disclaimer All qualified applicants will be considered for employment based on their skills, and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $130K-$145K This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
08/03/2026
Full time
Capgemini Government Solutions (CGS) LLC seeks a highly skilled Identity Platform (IdP) Engineer to join our Zero Trust Architecture team. In this role, you will be the one primary architect and administrator for identity services that form the "new perimeter" of our enterprise. You will bridge the gap between traditional networking and modern identity-centric security, ensuring that every access request is fully authenticated, authorized, and encrypted. Job Responsibilities: As Identity Platform (IdP) Engineer, you will be responsible for: Design and implement identity-based access control policies that adhere to Zero Trust principles (Never Trust, Always Verify). Lead the deployment, configuration, and optimization of PingFederate and Ping Access to provide seamless SSO and attribute-based access control (ABAC). Manage the full lifecycle of Identity, Credential, and Access Management (ICAM), including automated provisioning and complex directory integrations. Collaborate with the SOC and Network teams to integrate identity signals into our broader security monitoring and incident response workflows. Act as the subject matter expert for integrating PingFederate as the core Identity Provider (IdP) with third-party Zero Trust ecosystem components, including Privileged Access Manager (PAM), Master User Record (MUR) and Identity Governance and Administration (IGA). Create and maintain authentication policies, including Multi-Factor Authentication (MFA) and Risk-Based Authentication (RBA). Knowledge of directory services (Active Directory, LDAP, Azure AD). Familiarity with NIST 800-207 Zero Trust Architecture standards. A security-first mindset with the ability to troubleshoot complex authentication handshakes. Provide guidance and hands-on training for onboarding new applications into PingFederate using self-service templates, OIDC, and SAML to ensure consistent security standards across the enterprise. Required Qualifications: Have an active Secret Government security clearance that requires U.S. citizenship Bachelor's degree in computer science, Information Technology, Cybersecurity, or a related technical field. Minimum of 6 years of hands-on experience in ICAM (Identity, Credential, and Access Management) within enterprise or government environments. Deep proficiency with PingFederate (OIDC, SAML, OAuth protocols). Strong experience with Ping Access for protecting web applications and APIs at the gateway level. Active CompTIA Security+ (or equivalent IAT Level II certification) to meet compliance requirements About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get the future you want Disclaimer All qualified applicants will be considered for employment based on their skills, and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $130K-$145K This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Ford's legacy of innovation is about to reach new heights. Imagine being on the ground floor of something truly extraordinary. At BlueOval Battery Park Michigan, we're not just assembling battery systems; we're leading a transformation. As a key member of our start-up team, you'll have a once-in-a-lifetime opportunity to launch a state-of-the-art manufacturing facility from the ground up. Imagine: you, at the forefront of the electrification movement, helping to bring the next generation of vehicles to driveways, job sites and highways everywhere. At BlueOval Battery Park Michigan, you will • use your entrepreneurial skills and team mindset to come up with data-driven solutions • build and lead an agile team to deliver the advanced technology that drives the future • create a culture of trust, encourage diversity of thought and foster leadership in others • be part of the historic transformation of the automotive industry. What you'll do Ensure adherence and compliance to the Ford Production System (FPS) Key Unifying Processes (KUP) Understand and consistently apply standard manufacturing operating systems and principles Enforce compliance with Safety Operating System practices to achieve zero injuries Ensure compliance with Quality Operating System practices to achieve zero defects Data Pipeline Development Develop Workflows to automate repetitive data tasks Connect enterprise applications, SaaS platforms, and manufacturing or operational systems using APIs, event-driven messaging, and orchestration workflows Perform data profiling, mapping, and modeling to ensure accuracy, consistency, and compliance with governance standards Identify and implement Controls Best Practice; launch Enablers, Training, and Change Control, etc. Liaison with IT on IT / Controls interface issues Drawing approvals and updates, Hydraulic, Pneumatic, Electrical Monitor use of Structured software specification, organize training for OEM's where required Issue resolution during machine build, installation, and steady state production Troubleshoot and resolve production-related downtime (i.e. PLC programs, HMI Screens, etc.) Setup and maintenance of industrial bar code scanners and printers Run-off equipment per Ford specifications at supplier and plant to validate capability and robustness including safety Ensure production systems meet objectives through Process Design and FMEAs Work with plant and Manufacturing Engineering personnel with appropriate timing and installation documentation, to ensure efficient/timely installation and validation Ensure the identification and capture of lessons learned along with their application to new programs, as well as the impact to existing strategies and standards Troubleshoot PLC, robot, and other automation problems Update program backups for automation Program new installations of vision, fastening, dispense, leak test, electrical test, gantry and conveyor systems Reprogram automation for engineering changes and improvements Candidates must possess full flexibility and a readiness to consistently work across all established standard, operating, and rotational shift schedules, encompassing day, night, weekend, and holiday shifts. You'll have Bachelor's degree 4+ years data engineering experience 2+ years data visualization (reports, dashboards) experience 2+ years' Experience using Python, SQL, C++, Java, or similar platform for automation and data processing. Even better, you may have Master's degree, engineering or computer science Experience Programming PLC's Power Bi Expertise Fundamental Working Knowledge of Industrial Electronics, PLC Logic, and Controls Ability to demonstrate leadership behaviors combined with outstanding interpersonal, team building, leadership, and communication skills. Capability to learn, use, and troubleshoot new software and hardware systems to solve manufacturing problems that users are facing. Knowledge of Mfg. 4.0 (Industry 4.0) key principles - Data Collection, AI/ML, IIOT, Digital Twin Ability to understand networking and controls architectures. Knowledge of data structures and algorithms You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. This position is a range of salary grades 5-8 and ranges from $65,100-$166,200. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-.
08/03/2026
Full time
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Ford's legacy of innovation is about to reach new heights. Imagine being on the ground floor of something truly extraordinary. At BlueOval Battery Park Michigan, we're not just assembling battery systems; we're leading a transformation. As a key member of our start-up team, you'll have a once-in-a-lifetime opportunity to launch a state-of-the-art manufacturing facility from the ground up. Imagine: you, at the forefront of the electrification movement, helping to bring the next generation of vehicles to driveways, job sites and highways everywhere. At BlueOval Battery Park Michigan, you will • use your entrepreneurial skills and team mindset to come up with data-driven solutions • build and lead an agile team to deliver the advanced technology that drives the future • create a culture of trust, encourage diversity of thought and foster leadership in others • be part of the historic transformation of the automotive industry. What you'll do Ensure adherence and compliance to the Ford Production System (FPS) Key Unifying Processes (KUP) Understand and consistently apply standard manufacturing operating systems and principles Enforce compliance with Safety Operating System practices to achieve zero injuries Ensure compliance with Quality Operating System practices to achieve zero defects Data Pipeline Development Develop Workflows to automate repetitive data tasks Connect enterprise applications, SaaS platforms, and manufacturing or operational systems using APIs, event-driven messaging, and orchestration workflows Perform data profiling, mapping, and modeling to ensure accuracy, consistency, and compliance with governance standards Identify and implement Controls Best Practice; launch Enablers, Training, and Change Control, etc. Liaison with IT on IT / Controls interface issues Drawing approvals and updates, Hydraulic, Pneumatic, Electrical Monitor use of Structured software specification, organize training for OEM's where required Issue resolution during machine build, installation, and steady state production Troubleshoot and resolve production-related downtime (i.e. PLC programs, HMI Screens, etc.) Setup and maintenance of industrial bar code scanners and printers Run-off equipment per Ford specifications at supplier and plant to validate capability and robustness including safety Ensure production systems meet objectives through Process Design and FMEAs Work with plant and Manufacturing Engineering personnel with appropriate timing and installation documentation, to ensure efficient/timely installation and validation Ensure the identification and capture of lessons learned along with their application to new programs, as well as the impact to existing strategies and standards Troubleshoot PLC, robot, and other automation problems Update program backups for automation Program new installations of vision, fastening, dispense, leak test, electrical test, gantry and conveyor systems Reprogram automation for engineering changes and improvements Candidates must possess full flexibility and a readiness to consistently work across all established standard, operating, and rotational shift schedules, encompassing day, night, weekend, and holiday shifts. You'll have Bachelor's degree 4+ years data engineering experience 2+ years data visualization (reports, dashboards) experience 2+ years' Experience using Python, SQL, C++, Java, or similar platform for automation and data processing. Even better, you may have Master's degree, engineering or computer science Experience Programming PLC's Power Bi Expertise Fundamental Working Knowledge of Industrial Electronics, PLC Logic, and Controls Ability to demonstrate leadership behaviors combined with outstanding interpersonal, team building, leadership, and communication skills. Capability to learn, use, and troubleshoot new software and hardware systems to solve manufacturing problems that users are facing. Knowledge of Mfg. 4.0 (Industry 4.0) key principles - Data Collection, AI/ML, IIOT, Digital Twin Ability to understand networking and controls architectures. Knowledge of data structures and algorithms You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. This position is a range of salary grades 5-8 and ranges from $65,100-$166,200. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-.
GXM Technologies LLC seeks an Enterprise Architect to lead mission-focused IT and data architectures for advanced defense and aerospace programs. You will define enterprise roadmaps, target architectures, and integration patterns across geospatial, C4ISR, AI/ML, and cyber domains supporting U.S. defense and intelligence customers. Partnering with engineering, data, and cyber teams, you will translate complex mission needs into secure, scalable solutions aligned with DoD/IC standards and Zero Trust principles. This role offers the opportunity to shape next-generation systems, influence technology strategy, and mentor technical teams in a collaborative, innovation-driven culture dedicated to national security.
08/01/2026
Full time
GXM Technologies LLC seeks an Enterprise Architect to lead mission-focused IT and data architectures for advanced defense and aerospace programs. You will define enterprise roadmaps, target architectures, and integration patterns across geospatial, C4ISR, AI/ML, and cyber domains supporting U.S. defense and intelligence customers. Partnering with engineering, data, and cyber teams, you will translate complex mission needs into secure, scalable solutions aligned with DoD/IC standards and Zero Trust principles. This role offers the opportunity to shape next-generation systems, influence technology strategy, and mentor technical teams in a collaborative, innovation-driven culture dedicated to national security.
ManTech International seeks a Network Architect to design, secure, and optimize complex enterprise and mission networks for U.S. defense and intelligence customers. You will define end to end architectures, lead modernization and cloud/hybrid connectivity efforts, and ensure high availability, zero trust security, and compliance with DoD standards. Collaborating with cyber, systems engineering, and data teams, you'll evaluate new technologies, guide implementation, mentor engineers, and produce architecture documentation. ManTech offers a mission focused, collaborative environment with robust training, career growth, and competitive pay and benefits.
07/27/2026
Full time
ManTech International seeks a Network Architect to design, secure, and optimize complex enterprise and mission networks for U.S. defense and intelligence customers. You will define end to end architectures, lead modernization and cloud/hybrid connectivity efforts, and ensure high availability, zero trust security, and compliance with DoD standards. Collaborating with cyber, systems engineering, and data teams, you'll evaluate new technologies, guide implementation, mentor engineers, and produce architecture documentation. ManTech offers a mission focused, collaborative environment with robust training, career growth, and competitive pay and benefits.
