McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI enabled finance capabilities, translate business needs into high impact product features, and guide teams to deliver scalable digital solutions that improve top line and bottom line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities: Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement: Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills: 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills: Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field preferred). We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
04/09/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI enabled finance capabilities, translate business needs into high impact product features, and guide teams to deliver scalable digital solutions that improve top line and bottom line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities: Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement: Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills: 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills: Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field preferred). We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI enabled finance capabilities, translate business needs into high impact product features, and guide teams to deliver scalable digital solutions that improve top line and bottom line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities: Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement: Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills: 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills: Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field preferred). We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
04/09/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI enabled finance capabilities, translate business needs into high impact product features, and guide teams to deliver scalable digital solutions that improve top line and bottom line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities: Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement: Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills: 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills: Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field preferred). We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Metalcraft of Mayville Metalcraft of Mayville is an Equal Opportunity Employer:Minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity Senior Software Architect US-WI-Mayville Job ID: Type: Regular Full-Time # of Openings: 1 Category: Information Technology Metalcraft of Mayville, Inc. Overview Metalcraft is hiring a Senior Software Architect to lead the design, modernization, and ongoing development of enterprise software applications. This role combines hands-on development, architectural leadership, and technical oversight to ensure scalable, secure, and maintainable solutions that align with business objectives. The ideal candidate will assess and modernize a legacy JavaScript-based architecture and .NET architectures (15+ years old), guide the transition toward modern frameworks and cloud-ready solutions, and provide technical leadership to the development team through code reviews, architecture validation, and best practice implementation. This position plays a key role in shaping the organization's application strategy while supporting mission-critical systems across the business. Work is onsite only in Mayville, Wisconsin. Not remote. Responsibilities Lead the design, development, and modernization of enterprise, web, and mobile applications. Evaluate existing legacy JavaScript architecture and design modernization strategies using modern frameworks and technologies. Develop, test, debug, and document high-quality software solutions that meet business and operational requirements. Ensure application architecture supports scalability, performance, security, and maintainability across cloud and on-premise environments. Provide technical leadership and mentorship to development teams, including code reviews and architectural guidance. Oversee the full software development lifecycle, from planning and design through deployment and support. Collaborate with business stakeholders and leadership to translate requirements into technical solutions. Create and manage project plans, development tasks, and delivery timelines for projects of varying complexity. Utilize source control, issue tracking, and DevOps tools to maintain development quality and traceability. Ensure data integrity and accuracy across staging and production environments. Perform high-level troubleshooting and support system upgrades as needed. Support multiple locations and provide occastional off-hours support when required. Maintain awareness of emerging technologies and industry trends to drive continuous improvement. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. 10+ years of professional software development experience, with experience in architecture or technical leadership roles. Strong experience with modern JavaScript frameworks such as Next.js, React, or Angular. Experience designing and developing RESTful APIs and distributed systems. Experience with cloud platforms, preferably Microsoft Azure (AWS or GCP experience is a plus). Familiarity with DevOps practices, CI/CD pipelines, and automated deployment. Strong experience with relational databases and data architecture. Experience with Agile, Scrum, or Waterfall development methodologies. Excellent problem-solving, communication, and technical mentorship skills. Experience in a manufacturing or industrial environment is a plus. Equal opportunity employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity. PM17 Compensation details: 7.24-7.25 PIb1b70733a2fc-4524
04/09/2026
Full time
Metalcraft of Mayville Metalcraft of Mayville is an Equal Opportunity Employer:Minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity Senior Software Architect US-WI-Mayville Job ID: Type: Regular Full-Time # of Openings: 1 Category: Information Technology Metalcraft of Mayville, Inc. Overview Metalcraft is hiring a Senior Software Architect to lead the design, modernization, and ongoing development of enterprise software applications. This role combines hands-on development, architectural leadership, and technical oversight to ensure scalable, secure, and maintainable solutions that align with business objectives. The ideal candidate will assess and modernize a legacy JavaScript-based architecture and .NET architectures (15+ years old), guide the transition toward modern frameworks and cloud-ready solutions, and provide technical leadership to the development team through code reviews, architecture validation, and best practice implementation. This position plays a key role in shaping the organization's application strategy while supporting mission-critical systems across the business. Work is onsite only in Mayville, Wisconsin. Not remote. Responsibilities Lead the design, development, and modernization of enterprise, web, and mobile applications. Evaluate existing legacy JavaScript architecture and design modernization strategies using modern frameworks and technologies. Develop, test, debug, and document high-quality software solutions that meet business and operational requirements. Ensure application architecture supports scalability, performance, security, and maintainability across cloud and on-premise environments. Provide technical leadership and mentorship to development teams, including code reviews and architectural guidance. Oversee the full software development lifecycle, from planning and design through deployment and support. Collaborate with business stakeholders and leadership to translate requirements into technical solutions. Create and manage project plans, development tasks, and delivery timelines for projects of varying complexity. Utilize source control, issue tracking, and DevOps tools to maintain development quality and traceability. Ensure data integrity and accuracy across staging and production environments. Perform high-level troubleshooting and support system upgrades as needed. Support multiple locations and provide occastional off-hours support when required. Maintain awareness of emerging technologies and industry trends to drive continuous improvement. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. 10+ years of professional software development experience, with experience in architecture or technical leadership roles. Strong experience with modern JavaScript frameworks such as Next.js, React, or Angular. Experience designing and developing RESTful APIs and distributed systems. Experience with cloud platforms, preferably Microsoft Azure (AWS or GCP experience is a plus). Familiarity with DevOps practices, CI/CD pipelines, and automated deployment. Strong experience with relational databases and data architecture. Experience with Agile, Scrum, or Waterfall development methodologies. Excellent problem-solving, communication, and technical mentorship skills. Experience in a manufacturing or industrial environment is a plus. Equal opportunity employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity. PM17 Compensation details: 7.24-7.25 PIb1b70733a2fc-4524
Controls & Automation Engineer Controls Engineering Maintain the integrity reliability and performance of machine and equipment control systems across the campus. Design program troubleshoot and optimize PLC-based control systems. Develop maintain and modify: PLC programs (Rockwell SLC 500 Logix 5000 Siemens Step 7) Ladder logic and function block programming Develop maintain and troubleshoot SCADA systems interfacing with PLCs and MS SQL databases including Ignition platforms. Review diagnose and troubleshoot existing control programs in response to production maintenance or customer-related issues. Automation Engineering Plan design and coordinate automation solutions for new and existing manufacturing equipment. Lead full automation system integration including: Robotics Vision systems Servo motion control Automated material handling systems. Develop and implement standardized automation architectures to improve scalability reliability and long-term maintainability. Support digital manufacturing initiatives including data collection strategies and system connectivity to enterprise platforms such as MES systems SQL databases and reporting tools. Electrical & System Design Develop equipment specifications with emphasis on electrical and controls systems. Create and review electrical schematics panel layouts and control cabinet designs for new and modified equipment. Support PC systems servers industrial networking and communications infrastructure including serial/parallel networks Ethernet/IP ProfiNet and related protocols. Operational Support & Continuous Improvement Collaborate closely with production and maintenance teams to support daily operations and drive long-term performance improvements. Identify and implement automation and controls enhancements to improve safety quality uptime and overall operational efficiency. Mentor and train maintenance and engineering personnel on controls and automation systems. Complete all training as mandated by Adient and its customers. Perform additional duties as assigned by the Engineering Manager. Qualifications Bachelor of Science in Engineering (Electrical Controls Automation Mechatronics or related field) (link removed)> Non-degree candidates may be considered with 7 years of relevant manufacturing controls and automation experience. Minimum of 5 years of manufacturing experience preferably within automotive or other high-volume manufacturing environments. Technical Expertise: PLC programming (Rockwell Siemens) SCADA development and maintenance (Ignition preferred) MS SQL and data-driven automation Industrial networking and communications Robotics and automated systems integration Electrical design and documentation Python programming language Core Competencies: Strong troubleshooting analytical and root-cause problem-solving skills Excellent communication skills with the ability to clearly explain technical concepts Effective time management and a customer-focused mindset Ability to thrive in a collaborative team-based participative environment
04/09/2026
Controls & Automation Engineer Controls Engineering Maintain the integrity reliability and performance of machine and equipment control systems across the campus. Design program troubleshoot and optimize PLC-based control systems. Develop maintain and modify: PLC programs (Rockwell SLC 500 Logix 5000 Siemens Step 7) Ladder logic and function block programming Develop maintain and troubleshoot SCADA systems interfacing with PLCs and MS SQL databases including Ignition platforms. Review diagnose and troubleshoot existing control programs in response to production maintenance or customer-related issues. Automation Engineering Plan design and coordinate automation solutions for new and existing manufacturing equipment. Lead full automation system integration including: Robotics Vision systems Servo motion control Automated material handling systems. Develop and implement standardized automation architectures to improve scalability reliability and long-term maintainability. Support digital manufacturing initiatives including data collection strategies and system connectivity to enterprise platforms such as MES systems SQL databases and reporting tools. Electrical & System Design Develop equipment specifications with emphasis on electrical and controls systems. Create and review electrical schematics panel layouts and control cabinet designs for new and modified equipment. Support PC systems servers industrial networking and communications infrastructure including serial/parallel networks Ethernet/IP ProfiNet and related protocols. Operational Support & Continuous Improvement Collaborate closely with production and maintenance teams to support daily operations and drive long-term performance improvements. Identify and implement automation and controls enhancements to improve safety quality uptime and overall operational efficiency. Mentor and train maintenance and engineering personnel on controls and automation systems. Complete all training as mandated by Adient and its customers. Perform additional duties as assigned by the Engineering Manager. Qualifications Bachelor of Science in Engineering (Electrical Controls Automation Mechatronics or related field) (link removed)> Non-degree candidates may be considered with 7 years of relevant manufacturing controls and automation experience. Minimum of 5 years of manufacturing experience preferably within automotive or other high-volume manufacturing environments. Technical Expertise: PLC programming (Rockwell Siemens) SCADA development and maintenance (Ignition preferred) MS SQL and data-driven automation Industrial networking and communications Robotics and automated systems integration Electrical design and documentation Python programming language Core Competencies: Strong troubleshooting analytical and root-cause problem-solving skills Excellent communication skills with the ability to clearly explain technical concepts Effective time management and a customer-focused mindset Ability to thrive in a collaborative team-based participative environment
Controls & Automation Engineer Controls Engineering Maintain the integrity reliability and performance of machine and equipment control systems across the campus. Design program troubleshoot and optimize PLC-based control systems. Develop maintain and modify: PLC programs (Rockwell SLC 500 Logix 5000 Siemens Step 7) Ladder logic and function block programming Develop maintain and troubleshoot SCADA systems interfacing with PLCs and MS SQL databases including Ignition platforms. Review diagnose and troubleshoot existing control programs in response to production maintenance or customer-related issues. Automation Engineering Plan design and coordinate automation solutions for new and existing manufacturing equipment. Lead full automation system integration including: Robotics Vision systems Servo motion control Automated material handling systems. Develop and implement standardized automation architectures to improve scalability reliability and long-term maintainability. Support digital manufacturing initiatives including data collection strategies and system connectivity to enterprise platforms such as MES systems SQL databases and reporting tools. Electrical & System Design Develop equipment specifications with emphasis on electrical and controls systems. Create and review electrical schematics panel layouts and control cabinet designs for new and modified equipment. Support PC systems servers industrial networking and communications infrastructure including serial/parallel networks Ethernet/IP ProfiNet and related protocols. Operational Support & Continuous Improvement Collaborate closely with production and maintenance teams to support daily operations and drive long-term performance improvements. Identify and implement automation and controls enhancements to improve safety quality uptime and overall operational efficiency. Mentor and train maintenance and engineering personnel on controls and automation systems. Complete all training as mandated by Adient and its customers. Perform additional duties as assigned by the Engineering Manager. Qualifications Bachelor of Science in Engineering (Electrical Controls Automation Mechatronics or related field) (link removed)> Non-degree candidates may be considered with 7 years of relevant manufacturing controls and automation experience. Minimum of 5 years of manufacturing experience preferably within automotive or other high-volume manufacturing environments. Technical Expertise: PLC programming (Rockwell Siemens) SCADA development and maintenance (Ignition preferred) MS SQL and data-driven automation Industrial networking and communications Robotics and automated systems integration Electrical design and documentation Python programming language Core Competencies: Strong troubleshooting analytical and root-cause problem-solving skills Excellent communication skills with the ability to clearly explain technical concepts Effective time management and a customer-focused mindset Ability to thrive in a collaborative team-based participative environment
04/09/2026
Controls & Automation Engineer Controls Engineering Maintain the integrity reliability and performance of machine and equipment control systems across the campus. Design program troubleshoot and optimize PLC-based control systems. Develop maintain and modify: PLC programs (Rockwell SLC 500 Logix 5000 Siemens Step 7) Ladder logic and function block programming Develop maintain and troubleshoot SCADA systems interfacing with PLCs and MS SQL databases including Ignition platforms. Review diagnose and troubleshoot existing control programs in response to production maintenance or customer-related issues. Automation Engineering Plan design and coordinate automation solutions for new and existing manufacturing equipment. Lead full automation system integration including: Robotics Vision systems Servo motion control Automated material handling systems. Develop and implement standardized automation architectures to improve scalability reliability and long-term maintainability. Support digital manufacturing initiatives including data collection strategies and system connectivity to enterprise platforms such as MES systems SQL databases and reporting tools. Electrical & System Design Develop equipment specifications with emphasis on electrical and controls systems. Create and review electrical schematics panel layouts and control cabinet designs for new and modified equipment. Support PC systems servers industrial networking and communications infrastructure including serial/parallel networks Ethernet/IP ProfiNet and related protocols. Operational Support & Continuous Improvement Collaborate closely with production and maintenance teams to support daily operations and drive long-term performance improvements. Identify and implement automation and controls enhancements to improve safety quality uptime and overall operational efficiency. Mentor and train maintenance and engineering personnel on controls and automation systems. Complete all training as mandated by Adient and its customers. Perform additional duties as assigned by the Engineering Manager. Qualifications Bachelor of Science in Engineering (Electrical Controls Automation Mechatronics or related field) (link removed)> Non-degree candidates may be considered with 7 years of relevant manufacturing controls and automation experience. Minimum of 5 years of manufacturing experience preferably within automotive or other high-volume manufacturing environments. Technical Expertise: PLC programming (Rockwell Siemens) SCADA development and maintenance (Ignition preferred) MS SQL and data-driven automation Industrial networking and communications Robotics and automated systems integration Electrical design and documentation Python programming language Core Competencies: Strong troubleshooting analytical and root-cause problem-solving skills Excellent communication skills with the ability to clearly explain technical concepts Effective time management and a customer-focused mindset Ability to thrive in a collaborative team-based participative environment
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/09/2026
Full time
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/09/2026
Full time
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer (Embedded Firmware/Hardware Design) Job Code: 33745 Job Location: Tempe, AZ Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: As a Specialist, Software Engineer with L3Harris, you will be responsible for leading the software development of complex projects through the complete software development lifecycle. This includes defining the software requirements, creating the software platform architecture, overseeing and contributing to the software development on the program, and ensuring the successful deployment to production. Essential Functions: Collaborate with the Equipment Engineering Manager and departmental engineers to coordinate project requirements and communicate current status Responsible for leading the design, documentation, development, and testing of software projects through all phases of the software development lifecycle Responsible for managing the development, integration, debug, and test of internal software products Ability to professionally and effectively communicate is required. Written - use of multimedia tools for briefings, ability to write procedures and reports. Verbal - ability to provide briefings in small to medium size groups of technicians, engineers and management Conducts research and development activities concerned with the design, building, and testing of embedded systems and automated electro-optical test equipment Builds and tests prototypes of proposed Capital & IRAD funded electro-mechanical robotic, and integrated process control systems. This includes design and integration of electronic components with optical subsystems Oversees special projects, purchases required materials, assembles and verifies operation, and coordinates validation testing in production environment. Ownership of equipment operation software documentation Attend and support relevant morning stand up reviews and weekly reviews with Manufacturing and/or Equipment Engineering Manager Ability to obtain a US Security Clearance Qualifications: Bachelor's Degree in Electrical or Computer Engineering with 4 years prior experience in process development, 2 year post-secondary/AA Degree and 8 years prior experience or Graduate Degree with 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. 2+ years of experience developing SW and board bring-up for embedded microcontroller systems Experience working with C/C++, data structures and inter-process communications Experience working in a multi-disciplinary team Preferred Additional Skills: Ability to effectively establish rapport and develop effective relationships Expert knowledge of communications protocols (e.g. USB, Bluetooth, I2C, SPI, UART etc.) Proficient with software configuration management tools; git preferred Proficient with feature and defect tracking tools L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
04/09/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer (Embedded Firmware/Hardware Design) Job Code: 33745 Job Location: Tempe, AZ Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: As a Specialist, Software Engineer with L3Harris, you will be responsible for leading the software development of complex projects through the complete software development lifecycle. This includes defining the software requirements, creating the software platform architecture, overseeing and contributing to the software development on the program, and ensuring the successful deployment to production. Essential Functions: Collaborate with the Equipment Engineering Manager and departmental engineers to coordinate project requirements and communicate current status Responsible for leading the design, documentation, development, and testing of software projects through all phases of the software development lifecycle Responsible for managing the development, integration, debug, and test of internal software products Ability to professionally and effectively communicate is required. Written - use of multimedia tools for briefings, ability to write procedures and reports. Verbal - ability to provide briefings in small to medium size groups of technicians, engineers and management Conducts research and development activities concerned with the design, building, and testing of embedded systems and automated electro-optical test equipment Builds and tests prototypes of proposed Capital & IRAD funded electro-mechanical robotic, and integrated process control systems. This includes design and integration of electronic components with optical subsystems Oversees special projects, purchases required materials, assembles and verifies operation, and coordinates validation testing in production environment. Ownership of equipment operation software documentation Attend and support relevant morning stand up reviews and weekly reviews with Manufacturing and/or Equipment Engineering Manager Ability to obtain a US Security Clearance Qualifications: Bachelor's Degree in Electrical or Computer Engineering with 4 years prior experience in process development, 2 year post-secondary/AA Degree and 8 years prior experience or Graduate Degree with 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. 2+ years of experience developing SW and board bring-up for embedded microcontroller systems Experience working with C/C++, data structures and inter-process communications Experience working in a multi-disciplinary team Preferred Additional Skills: Ability to effectively establish rapport and develop effective relationships Expert knowledge of communications protocols (e.g. USB, Bluetooth, I2C, SPI, UART etc.) Proficient with software configuration management tools; git preferred Proficient with feature and defect tracking tools L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English () or Spanish () . For information regarding your Right To Work, please click here for English () or Spanish () .
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/09/2026
Full time
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/09/2026
Full time
Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/09/2026
Full time
Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Associate Systems Engineer - Health Management to join the Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO . This role will support a proprietary program as well as other platforms in the GVHMS portfolio within the Boeing Global Services (BGS) organization. This team develops and fields aircraft health management systems across multiple platforms-including F/A-18, E/A-18, F-15, T7, MQ-25, and proprietary programs-by acquiring and managing aircraft health and usage data, performing assessments, updating configurations, and recommending maintenance actions. The team is looking for a highly motivated systems engineer to collaborative approach to plan, design, develop and verify a lifecycle balanced system of systems and system solutions within the GVHMS portfolio. This role may require interaction with internal and external stakeholders to ensure software products are developed in alignment with supporting customer, business and program needs. The ideal candidate will have a combination of technical system engineering skills as well as project management skills. Good oral and written communication is essential to succeed in this position. This role will work closely with the software development team, hardware team, test team, other System Engineers, and leadership. Position Responsibilities: Applies an interdisciplinary, collaborative approach to plan, design, develop and verify a lifecycle balanced system of systems and system solutions Evaluates customer and /operational needs to define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces Performs various analyses to optimize total system of systems and/or system architecture Performs analyses for affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility, system security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success Develops the planning, organization, implementation and monitoring of requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes Resolves cross-functional technical issues Basic Qualifications (Required Skills/Experience): Bachelor's Degree in an engineering discipline Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship 1+ years of experience in systems engineering (requirements definition, allocation, verification, architecture design and trade design) 1+ years of experience working systems engineering across multiple phases of the product life-cycle Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Active Secret Security Clearance 1+ years' experience building stakeholder and customer relationships Agile development experience Experience with military aircraft and Proprietary programs Excellent communication skills and ability to lead by influence 2+ years of experience with Model Based Systems Engineering (MBSE) is a plus Experience with Earned Value Management (EVM) and CAM duties Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate level (Level 2): $91,800 - $124,200 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 14, 2026 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/09/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Associate Systems Engineer - Health Management to join the Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO . This role will support a proprietary program as well as other platforms in the GVHMS portfolio within the Boeing Global Services (BGS) organization. This team develops and fields aircraft health management systems across multiple platforms-including F/A-18, E/A-18, F-15, T7, MQ-25, and proprietary programs-by acquiring and managing aircraft health and usage data, performing assessments, updating configurations, and recommending maintenance actions. The team is looking for a highly motivated systems engineer to collaborative approach to plan, design, develop and verify a lifecycle balanced system of systems and system solutions within the GVHMS portfolio. This role may require interaction with internal and external stakeholders to ensure software products are developed in alignment with supporting customer, business and program needs. The ideal candidate will have a combination of technical system engineering skills as well as project management skills. Good oral and written communication is essential to succeed in this position. This role will work closely with the software development team, hardware team, test team, other System Engineers, and leadership. Position Responsibilities: Applies an interdisciplinary, collaborative approach to plan, design, develop and verify a lifecycle balanced system of systems and system solutions Evaluates customer and /operational needs to define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces Performs various analyses to optimize total system of systems and/or system architecture Performs analyses for affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility, system security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success Develops the planning, organization, implementation and monitoring of requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes Resolves cross-functional technical issues Basic Qualifications (Required Skills/Experience): Bachelor's Degree in an engineering discipline Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship 1+ years of experience in systems engineering (requirements definition, allocation, verification, architecture design and trade design) 1+ years of experience working systems engineering across multiple phases of the product life-cycle Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Active Secret Security Clearance 1+ years' experience building stakeholder and customer relationships Agile development experience Experience with military aircraft and Proprietary programs Excellent communication skills and ability to lead by influence 2+ years of experience with Model Based Systems Engineering (MBSE) is a plus Experience with Earned Value Management (EVM) and CAM duties Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate level (Level 2): $91,800 - $124,200 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 14, 2026 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Systems Engineering Job Code: 33684 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: Join L3Harris Communication Systems as a Lead Systems Engineer, where you'll play a critical role in designing and integrating advanced RF and networking solutions that enable mission-critical communications around the world. In this role, you'll join our Network Engineering team, helping to shape advanced networked communication systems for our customers and helping support our proprietary platforms that model, test, and validate the performance of our cutting-edge tactical communication systems. You'll work hands-on with both RF and networking technologies, bridging the gap between hardware and system-level design, while collaborating with diverse engineering teams across the organization. This is an opportunity to lead technical initiatives, influence architecture decisions, and see your work directly impact systems used in the most demanding operational environments. Essential Functions: Lead networking system designs for next-generation communication products and systems. Troubleshoot at both RF and system levels, supporting integration across multiple platforms. Collaborate with Chief Engineers, program managers, and cross-functional teams to deliver robust, scalable solutions. Prepare and deliver technical briefings for leadership and customers. Drive continuous improvement, applying lessons learned from programs to future designs. Oversee product development technical activities and system integration activities to ensure designs are technically sound and meet system level requirements. Collaborate with other design, test, manufacturing, product service, program and product management teams, providing responsive services as part of the Netsim Team. Ability to obtain a US Security Clearance. Technical Skills: Comprehensive knowledge of LAN routing/switching protocols and standards Operational experience in Linux Operating Systems Operational experience in Windows/Windows Server Operating Systems RF and System Level Troubleshooting Basic mechanical and soldering skills Qualifications: Bachelor's Degree in Engineering or another STEM discipline and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience in networking. Experience in Enterprise Networking and Applications Deployment Experience in RF troubleshooting and system-level integration. Preferred Additional Skills: Cisco CCNA or greater certification Experience with Enterprise network services and hardware design Operational experience with Active Directory, DNS, Exchange, SharePoint, etc LAN routing/switching protocols and standards. Experience in Linux and Windows operating systems. Operation experience with military radio systems. Demonstrated ability to work in a dynamic, team-oriented environment. Demonstrated self-starter - efficient in achieving goals and proactive in pursuing subsequent tasks. Proven team leadership skills, providing the technical voice for a project, program, or pursuit. Demonstrated excellent verbal and written communication skills. Excellent inter-personal and communication skills, ability to interact with a cross functional team and act as customer interface for technical aspects. Active US DoD Secret Clearance or Ability to obtain a US DoD Secret Clearance In compliance with pay transparency requirements, the salary range for this role in New York State 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. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/08/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Systems Engineering Job Code: 33684 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: Join L3Harris Communication Systems as a Lead Systems Engineer, where you'll play a critical role in designing and integrating advanced RF and networking solutions that enable mission-critical communications around the world. In this role, you'll join our Network Engineering team, helping to shape advanced networked communication systems for our customers and helping support our proprietary platforms that model, test, and validate the performance of our cutting-edge tactical communication systems. You'll work hands-on with both RF and networking technologies, bridging the gap between hardware and system-level design, while collaborating with diverse engineering teams across the organization. This is an opportunity to lead technical initiatives, influence architecture decisions, and see your work directly impact systems used in the most demanding operational environments. Essential Functions: Lead networking system designs for next-generation communication products and systems. Troubleshoot at both RF and system levels, supporting integration across multiple platforms. Collaborate with Chief Engineers, program managers, and cross-functional teams to deliver robust, scalable solutions. Prepare and deliver technical briefings for leadership and customers. Drive continuous improvement, applying lessons learned from programs to future designs. Oversee product development technical activities and system integration activities to ensure designs are technically sound and meet system level requirements. Collaborate with other design, test, manufacturing, product service, program and product management teams, providing responsive services as part of the Netsim Team. Ability to obtain a US Security Clearance. Technical Skills: Comprehensive knowledge of LAN routing/switching protocols and standards Operational experience in Linux Operating Systems Operational experience in Windows/Windows Server Operating Systems RF and System Level Troubleshooting Basic mechanical and soldering skills Qualifications: Bachelor's Degree in Engineering or another STEM discipline and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience in networking. Experience in Enterprise Networking and Applications Deployment Experience in RF troubleshooting and system-level integration. Preferred Additional Skills: Cisco CCNA or greater certification Experience with Enterprise network services and hardware design Operational experience with Active Directory, DNS, Exchange, SharePoint, etc LAN routing/switching protocols and standards. Experience in Linux and Windows operating systems. Operation experience with military radio systems. Demonstrated ability to work in a dynamic, team-oriented environment. Demonstrated self-starter - efficient in achieving goals and proactive in pursuing subsequent tasks. Proven team leadership skills, providing the technical voice for a project, program, or pursuit. Demonstrated excellent verbal and written communication skills. Excellent inter-personal and communication skills, ability to interact with a cross functional team and act as customer interface for technical aspects. Active US DoD Secret Clearance or Ability to obtain a US DoD Secret Clearance In compliance with pay transparency requirements, the salary range for this role in New York State 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. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer (Embedded Firmware/Hardware Design) Job Code: 33745 Job Location: Tempe, AZ Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: As a Specialist, Software Engineer with L3Harris, you will be responsible for leading the software development of complex projects through the complete software development lifecycle. This includes defining the software requirements, creating the software platform architecture, overseeing and contributing to the software development on the program, and ensuring the successful deployment to production. Essential Functions: Collaborate with the Equipment Engineering Manager and departmental engineers to coordinate project requirements and communicate current status Responsible for leading the design, documentation, development, and testing of software projects through all phases of the software development lifecycle Responsible for managing the development, integration, debug, and test of internal software products Ability to professionally and effectively communicate is required. Written - use of multimedia tools for briefings, ability to write procedures and reports. Verbal - ability to provide briefings in small to medium size groups of technicians, engineers and management Conducts research and development activities concerned with the design, building, and testing of embedded systems and automated electro-optical test equipment Builds and tests prototypes of proposed Capital & IRAD funded electro-mechanical robotic, and integrated process control systems. This includes design and integration of electronic components with optical subsystems Oversees special projects, purchases required materials, assembles and verifies operation, and coordinates validation testing in production environment. Ownership of equipment operation software documentation Attend and support relevant morning stand up reviews and weekly reviews with Manufacturing and/or Equipment Engineering Manager Ability to obtain a US Security Clearance Qualifications: Bachelor's Degree in Electrical or Computer Engineering with 4 years prior experience in process development, 2 year post-secondary/AA Degree and 8 years prior experience or Graduate Degree with 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. 2+ years of experience developing SW and board bring-up for embedded microcontroller systems Experience working with C/C++, data structures and inter-process communications Experience working in a multi-disciplinary team Preferred Additional Skills: Ability to effectively establish rapport and develop effective relationships Expert knowledge of communications protocols (e.g. USB, Bluetooth, I2C, SPI, UART etc.) Proficient with software configuration management tools; git preferred Proficient with feature and defect tracking tools L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/08/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer (Embedded Firmware/Hardware Design) Job Code: 33745 Job Location: Tempe, AZ Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: As a Specialist, Software Engineer with L3Harris, you will be responsible for leading the software development of complex projects through the complete software development lifecycle. This includes defining the software requirements, creating the software platform architecture, overseeing and contributing to the software development on the program, and ensuring the successful deployment to production. Essential Functions: Collaborate with the Equipment Engineering Manager and departmental engineers to coordinate project requirements and communicate current status Responsible for leading the design, documentation, development, and testing of software projects through all phases of the software development lifecycle Responsible for managing the development, integration, debug, and test of internal software products Ability to professionally and effectively communicate is required. Written - use of multimedia tools for briefings, ability to write procedures and reports. Verbal - ability to provide briefings in small to medium size groups of technicians, engineers and management Conducts research and development activities concerned with the design, building, and testing of embedded systems and automated electro-optical test equipment Builds and tests prototypes of proposed Capital & IRAD funded electro-mechanical robotic, and integrated process control systems. This includes design and integration of electronic components with optical subsystems Oversees special projects, purchases required materials, assembles and verifies operation, and coordinates validation testing in production environment. Ownership of equipment operation software documentation Attend and support relevant morning stand up reviews and weekly reviews with Manufacturing and/or Equipment Engineering Manager Ability to obtain a US Security Clearance Qualifications: Bachelor's Degree in Electrical or Computer Engineering with 4 years prior experience in process development, 2 year post-secondary/AA Degree and 8 years prior experience or Graduate Degree with 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. 2+ years of experience developing SW and board bring-up for embedded microcontroller systems Experience working with C/C++, data structures and inter-process communications Experience working in a multi-disciplinary team Preferred Additional Skills: Ability to effectively establish rapport and develop effective relationships Expert knowledge of communications protocols (e.g. USB, Bluetooth, I2C, SPI, UART etc.) Proficient with software configuration management tools; git preferred Proficient with feature and defect tracking tools L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
The Leader of Software Product Management is accountable for the end-to-end strategy, portfolio leadership, and commercial success of the IAS global software W S (WMS, WES, WCS) portfolio supporting supply chain, logistics, automation, and digital solutions. This role sets the product vision, translates business and customer needs into scalable, differentiated software offerings, and ensures tight alignment across engineering, sales, operations, and regional business units. Operating at enterprise scale, the role balances long term platform strategy with near term commercial execution, ensuring software products drive revenue growth, margin expansion, and customer value across global markets. We offer: Career Development Competitive Compensation and Benefits Pay Transparency Global Opportunities Learn More Here: Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The base pay range for this role is estimated to be $175,000.00 to $300,000.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills. Tasks and Qualifications: Responsibilities: Define and own the global software product vision, roadmap, and Annual Operating Plans aligned with corporate strategy, growth priorities, and market trends in supply chain and logistics technology. Measure Software Product and Offering portfolio as a pseudo-P&L ensuring strong operational and investment outcomes Lead portfolio prioritization across platforms, applications, and digital services, balancing innovation, scalability, and lifecycle management. Partner with Sales, Marketing, and Regional Leaders to ensure products are commercially compelling, clearly positioned, and aligned to customer value propositions. Own product business cases, including revenue growth, margin, pricing, and investment tradeoffs. Engage directly with strategic customers and partners to validate roadmap direction and ensure strong product-market fit. Serve as the primary interface between Product Management and Software Development, ensuring clear requirements, prioritized backlogs, and outcome-based delivery. Identify emerging technologies and warehouse application and trends (e.g., cloud platforms, data & analytics, AI-enabled optimization) and translate them into practical, scalable product capabilities. Experience: 10-15+ years' experience in software product management, development, sales, and / or deployment, with senior leadership responsibility for enterprise or B2B software portfolios. Preference given for experience within the Supply Chain Solutions industry as either operator or provider of supply chain software. Supply chain planning, Warehouse Management, and Warehouse Execution Software experience is most relevant Education: Bachelor's degree in Computer Science, Engineering, Business, or related field; MBA or advanced degree preferred. Strong understanding of modern software development, cloud platforms, and Agile product delivery models. Demonstrated ability to operate at both strategic and execution levels, influencing executive stakeholders while driving operational results. Experience working in matrixed, international organizations with significant commercial and customer interaction.
04/08/2026
The Leader of Software Product Management is accountable for the end-to-end strategy, portfolio leadership, and commercial success of the IAS global software W S (WMS, WES, WCS) portfolio supporting supply chain, logistics, automation, and digital solutions. This role sets the product vision, translates business and customer needs into scalable, differentiated software offerings, and ensures tight alignment across engineering, sales, operations, and regional business units. Operating at enterprise scale, the role balances long term platform strategy with near term commercial execution, ensuring software products drive revenue growth, margin expansion, and customer value across global markets. We offer: Career Development Competitive Compensation and Benefits Pay Transparency Global Opportunities Learn More Here: Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The base pay range for this role is estimated to be $175,000.00 to $300,000.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills. Tasks and Qualifications: Responsibilities: Define and own the global software product vision, roadmap, and Annual Operating Plans aligned with corporate strategy, growth priorities, and market trends in supply chain and logistics technology. Measure Software Product and Offering portfolio as a pseudo-P&L ensuring strong operational and investment outcomes Lead portfolio prioritization across platforms, applications, and digital services, balancing innovation, scalability, and lifecycle management. Partner with Sales, Marketing, and Regional Leaders to ensure products are commercially compelling, clearly positioned, and aligned to customer value propositions. Own product business cases, including revenue growth, margin, pricing, and investment tradeoffs. Engage directly with strategic customers and partners to validate roadmap direction and ensure strong product-market fit. Serve as the primary interface between Product Management and Software Development, ensuring clear requirements, prioritized backlogs, and outcome-based delivery. Identify emerging technologies and warehouse application and trends (e.g., cloud platforms, data & analytics, AI-enabled optimization) and translate them into practical, scalable product capabilities. Experience: 10-15+ years' experience in software product management, development, sales, and / or deployment, with senior leadership responsibility for enterprise or B2B software portfolios. Preference given for experience within the Supply Chain Solutions industry as either operator or provider of supply chain software. Supply chain planning, Warehouse Management, and Warehouse Execution Software experience is most relevant Education: Bachelor's degree in Computer Science, Engineering, Business, or related field; MBA or advanced degree preferred. Strong understanding of modern software development, cloud platforms, and Agile product delivery models. Demonstrated ability to operate at both strategic and execution levels, influencing executive stakeholders while driving operational results. Experience working in matrixed, international organizations with significant commercial and customer interaction.
Genesis10 is currently seeking a Data Architect-Remote for a 12-month contract role with our healthcare client in Eagan, MN. Compensation: $95.00 - 101.00 per hour W2, depending on skill and experience level. The Enterprise Information Architect will be responsible for managing the lifecycle of standard elements required to implement and sustain an overall information and data (structured, semi-structured and unstructured) discipline. This individual's focus is primary on enterprise information requirements: design, access, usage, privacy, and stewardship. The position also requires an understanding of industry standards and emerging regulatory issues surrounding information assets (such as consumer privacy laws, data retention policies, outsourced data, and specific industry guidelines - especially in healthcare, insurance, and banking). The Enterprise Information Architect will provide architectural oversight and governance to products and projects in the information and data domain as well as other solutions that emphasis data management, integration, and movement. This includes defining an enterprise information vision, strategy, architectural blueprints, and roadmaps while acquiring buy-in from the enterprise. The Enterprise Information Architect will guide and direct Data Architects to define and oversee all aspects of data architecture and governance, design, analysis techniques, and data architecture processes. Requirements: Lead and provide thought leadership in all areas of data and information management, including master and reference data management, data modeling, data governance, data quality, data standardization, and metadata management. Lead and/or facilitate enterprise information and data strategy development to achieve enterprise goals and objectives Actively manage, communicate, and market the enterprise information architecture strategy and techniques via creation and maintenance of architecture blueprints, roadmaps, and executive presentations Promote and support elimination of data redundancy, fragmentation, and unnecessary movement of data through the establishment and enforcement of data system of record (SOR), source of truth (SOT), source of origin (SOO). Continuously improve and mature information and data architecture practice and processes Lead the development and application of information policies, principles, standards, patterns, and governance processes for information, data, and metadata to achieve an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata. Maintain awareness, research, drive, and lead adoption of emerging IT trends, disruptions, and practices relevant to enterprise information and data architecture Engage leadership to identify business and technology-enabled innovation opportunities that enable and drive business outcomes Lead the analysis of the business-IT environment to detect critical deficiencies, legacy, and technical debt, and recommend solutions for improvement Develop, maintain, and evolve the architecture and solution intent (current state, transition state, and future state) across domains Assist in maintaining the repository of current state, transition state, and future state information architecture deliverables Lead and facilitate Data Architecture community of practice meetings and represent the information and data architecture domain at the Architecture Review Board. Work closely with the product portfolio owners and product managers to drive a robust information and data architectural runway that can support future business requirements throughout the product and solution lifecycle Coach, mentor, and collaborate with technical subject matter experts and architecture peers to develop architecture that enables and drive new business capabilities and operating models Other duties as assigned Minimum Qualifications Bachelor's degree in Computer Science or related area of study, or equivalent combination of education and/or relevant work experience; HS diploma or GED is required 10 years of related work experience in Business Analysis, System Design and Development, Systems Engineering, or technical architecture; to include 5 years direct experience working within an Architect role Must be eligible to work in the United States without need for work visa or residency sponsorship Additional Qualifications Significant experience defining and standardizing design and architecture patterns for the assigned domain Advanced ability to communicate and present effectively at multiple levels of the organization Ability to define, plan, initiate and lead architecture and teams for the assigned area and scope Demonstrate a wide understanding of multiple domain areas, with the ability to apply practical and pragmatic solutions Self-learner, ability to work independently and direct the learning and work of others Experience handling all of the solution types, ranging from organization and process to implementing new system builds, legacy enhancements, commercial-off-the-shelf packages, and Cloud solutions Experience as a senior-level architect working on significant enterprise initiatives Previous experience with data modeling, data lineage, data quality, data profiling, and metadata management tools (ER/Studio, XMLSpy, InfoSphere Data Architect, Informatica, etc.) Working knowledge of transactional (OLTP), reporting and analytics (OLAP), business event, messaging, and API contract design best practices and patterns Previous experience with enterprise architecture tool and knowledge repository such as Planview CTM / Enterprise Architect, Sparx, Software AG, etc. Previous experience with SAFe Agile Framework Preferred Qualifications 5 or more years of work experience in data modeling and database design Experience working with industry and reference data models (HL7, FHIR, NCPDP, Teradata Healthcare Data Model, IBM Healthcare Data Model, Pega Foundation for Healthcare, Salesforce Health Cloud, etc.) Experience with relational, document, message and business event data stores and technologies Experience working with regulatory compliance requirements (HIPAA and/or PCI) Previous experience in PBM / health care industry Strong experience with software development life cycle and project management principles Master's degree in Computer Science or related area of study, or equivalent combination of education In-depth knowledge of two or more architectural domains (application, infrastructure, integration, and/or security) Formal Enterprise Architecture training and certification Experience modeling Enterprise Architectures with industry-standard modeling notation Additional Information: Review and Validate Conceptual and Logical Data Architecture Assess the current EPM conceptual architecture, including modules, data sources, integrations, and inter module relationships. Ensure alignment with enterprise data principles, governance standards, and long term supportability. Develop Comprehensive Data Mappings and Data Flow Documentation The Data Architect will work closely with functional leads to define inbound, outbound, and cross module data mappings across: FCCS - Financial Consolidation & Close ARCS - Account Reconciliation PBCS - Planning & Budgeting PBCS Treasury - Cash Forecasting PCM - Profitability & Cost Management EDM - Enterprise Data Management Deliverables include source to target mappings, transformation rules, dependencies, and data flow diagrams. Optimize Data Storage, Minimize Redundancy, and Improve Design Efficiency Leverage Oracle ERP/EPM best practice recommendations. Identify and eliminate unnecessary data duplication. Validate that data is sourced from proper systems of record and follows the most efficient routing. Ensure Supportability, Scalability, and Alignment with Future State Validate metadata governance and alignment across modules through EDM. Provide recommendations for integration patterns, performance optimization, and long term maintainability. If you have the described qualifications and are interested in this exciting opportunity, please apply! About Genesis10: 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 . click apply for full job details
04/08/2026
Full time
Genesis10 is currently seeking a Data Architect-Remote for a 12-month contract role with our healthcare client in Eagan, MN. Compensation: $95.00 - 101.00 per hour W2, depending on skill and experience level. The Enterprise Information Architect will be responsible for managing the lifecycle of standard elements required to implement and sustain an overall information and data (structured, semi-structured and unstructured) discipline. This individual's focus is primary on enterprise information requirements: design, access, usage, privacy, and stewardship. The position also requires an understanding of industry standards and emerging regulatory issues surrounding information assets (such as consumer privacy laws, data retention policies, outsourced data, and specific industry guidelines - especially in healthcare, insurance, and banking). The Enterprise Information Architect will provide architectural oversight and governance to products and projects in the information and data domain as well as other solutions that emphasis data management, integration, and movement. This includes defining an enterprise information vision, strategy, architectural blueprints, and roadmaps while acquiring buy-in from the enterprise. The Enterprise Information Architect will guide and direct Data Architects to define and oversee all aspects of data architecture and governance, design, analysis techniques, and data architecture processes. Requirements: Lead and provide thought leadership in all areas of data and information management, including master and reference data management, data modeling, data governance, data quality, data standardization, and metadata management. Lead and/or facilitate enterprise information and data strategy development to achieve enterprise goals and objectives Actively manage, communicate, and market the enterprise information architecture strategy and techniques via creation and maintenance of architecture blueprints, roadmaps, and executive presentations Promote and support elimination of data redundancy, fragmentation, and unnecessary movement of data through the establishment and enforcement of data system of record (SOR), source of truth (SOT), source of origin (SOO). Continuously improve and mature information and data architecture practice and processes Lead the development and application of information policies, principles, standards, patterns, and governance processes for information, data, and metadata to achieve an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata. Maintain awareness, research, drive, and lead adoption of emerging IT trends, disruptions, and practices relevant to enterprise information and data architecture Engage leadership to identify business and technology-enabled innovation opportunities that enable and drive business outcomes Lead the analysis of the business-IT environment to detect critical deficiencies, legacy, and technical debt, and recommend solutions for improvement Develop, maintain, and evolve the architecture and solution intent (current state, transition state, and future state) across domains Assist in maintaining the repository of current state, transition state, and future state information architecture deliverables Lead and facilitate Data Architecture community of practice meetings and represent the information and data architecture domain at the Architecture Review Board. Work closely with the product portfolio owners and product managers to drive a robust information and data architectural runway that can support future business requirements throughout the product and solution lifecycle Coach, mentor, and collaborate with technical subject matter experts and architecture peers to develop architecture that enables and drive new business capabilities and operating models Other duties as assigned Minimum Qualifications Bachelor's degree in Computer Science or related area of study, or equivalent combination of education and/or relevant work experience; HS diploma or GED is required 10 years of related work experience in Business Analysis, System Design and Development, Systems Engineering, or technical architecture; to include 5 years direct experience working within an Architect role Must be eligible to work in the United States without need for work visa or residency sponsorship Additional Qualifications Significant experience defining and standardizing design and architecture patterns for the assigned domain Advanced ability to communicate and present effectively at multiple levels of the organization Ability to define, plan, initiate and lead architecture and teams for the assigned area and scope Demonstrate a wide understanding of multiple domain areas, with the ability to apply practical and pragmatic solutions Self-learner, ability to work independently and direct the learning and work of others Experience handling all of the solution types, ranging from organization and process to implementing new system builds, legacy enhancements, commercial-off-the-shelf packages, and Cloud solutions Experience as a senior-level architect working on significant enterprise initiatives Previous experience with data modeling, data lineage, data quality, data profiling, and metadata management tools (ER/Studio, XMLSpy, InfoSphere Data Architect, Informatica, etc.) Working knowledge of transactional (OLTP), reporting and analytics (OLAP), business event, messaging, and API contract design best practices and patterns Previous experience with enterprise architecture tool and knowledge repository such as Planview CTM / Enterprise Architect, Sparx, Software AG, etc. Previous experience with SAFe Agile Framework Preferred Qualifications 5 or more years of work experience in data modeling and database design Experience working with industry and reference data models (HL7, FHIR, NCPDP, Teradata Healthcare Data Model, IBM Healthcare Data Model, Pega Foundation for Healthcare, Salesforce Health Cloud, etc.) Experience with relational, document, message and business event data stores and technologies Experience working with regulatory compliance requirements (HIPAA and/or PCI) Previous experience in PBM / health care industry Strong experience with software development life cycle and project management principles Master's degree in Computer Science or related area of study, or equivalent combination of education In-depth knowledge of two or more architectural domains (application, infrastructure, integration, and/or security) Formal Enterprise Architecture training and certification Experience modeling Enterprise Architectures with industry-standard modeling notation Additional Information: Review and Validate Conceptual and Logical Data Architecture Assess the current EPM conceptual architecture, including modules, data sources, integrations, and inter module relationships. Ensure alignment with enterprise data principles, governance standards, and long term supportability. Develop Comprehensive Data Mappings and Data Flow Documentation The Data Architect will work closely with functional leads to define inbound, outbound, and cross module data mappings across: FCCS - Financial Consolidation & Close ARCS - Account Reconciliation PBCS - Planning & Budgeting PBCS Treasury - Cash Forecasting PCM - Profitability & Cost Management EDM - Enterprise Data Management Deliverables include source to target mappings, transformation rules, dependencies, and data flow diagrams. Optimize Data Storage, Minimize Redundancy, and Improve Design Efficiency Leverage Oracle ERP/EPM best practice recommendations. Identify and eliminate unnecessary data duplication. Validate that data is sourced from proper systems of record and follows the most efficient routing. Ensure Supportability, Scalability, and Alignment with Future State Validate metadata governance and alignment across modules through EDM. Provide recommendations for integration patterns, performance optimization, and long term maintainability. If you have the described qualifications and are interested in this exciting opportunity, please apply! About Genesis10: 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 . click apply for full job details
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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 One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/08/2026
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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 One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Company Integrated Advanced Systems (IAS) team in Phantom Works is looking for a Senior Electronic Design Engineer to join our team to work on a variety of activities related to advanced mission systems in Berkeley, Missouri. As a Senior Electronic Design Engineer, you will be part of a team working on the development of a Software Defined Radio (SDR). You will have the opportunity to lead the embedded software development, implementation of Big Iron open architecture standards, and test of products as they move through their development lifecycle. There will also be tasks related to evaluation of effectiveness of varies mission systems technologies installed on a variety of platforms to assist with technology development and EW system evaluations along with the assisting with writing proposals for new business. Here in Phantom Works, our job is to transform technologies (both existing and new) into new and innovative products for our customers. Serve as the lead for the embedded software implementation on the team's SDR Effectively work on a diverse team that partners with customers both internal to Boeing as well as external. A willingness to learn. We're a team with lots of domain experts to learn from. You will also interact with engineers in multiple disciplines outside of electrical engineering. Apply general knowledge of electronic/electrical systems or subsystems and components including operating principles, design variables, performance, and key interfaces. Occasional travel may be required (10% of the time)Position Responsibilities: Develops and validates requirements for various complex communication, sensor, electronic warfare and other electromagnetic systems and components. Develops and validates electromagnetic requirements for electricalelectronic systems, mechanical systems, interconnects and structures. Develops architectures to integrate complex systems and components into higher level systems and platforms. Performs complicated trade studies, modeling, simulation and other forms of analysis to predict component, interconnects and system performance and to optimize design around established requirements. Defines and conducts critical tests of various kinds to validate performance of designs to requirements. Manages appropriate aspects of critical supplier and partner performance to ensure compliance to requirements. Provides support to products throughout their lifecycle from manufacturing to customer use by providing guidance and support to resolve complex issues. Supports project management by providing coordinating development of work statement, budget, schedule and other required inputs and conducting appropriate reviews. Generates major sections of proposals to support development of new business. Works under minimal direction.This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) A final U.S. Secret Clearance Pre-Start is required.Basic Qualifications Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry 9+ years of work related experience with a Bachelor's OR 7+ years with a master's OR 3+ years with a PhD Experience programming in C/C++ Experience programming in Python Experience with Kubernetes or other containerization technologies Experience with message patters or transport technologies (ZMQ, Apache MQ, etc.) Experience with embedded systems developmentPreferred Qualifications Experience working with EW systems Experience working with RF hardware/subsystems Experience with Open Architectures, especially Big Iron Experience developing on Linux environmentsConflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process.Typical Education & Experience9+ years of work-related experience with a Bachelors degree OR 7+ years of work-related experience with a Masters OR 3+ years of work-related experience with a PhD In the USA, ABET accreditation is the preferred, although not required, accreditation standard.Relocation: This position offers relocation based on candidate eligibility.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift: This position is for 1st shift.At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $ 118,150 - $159,850Boeing offers the best benefits in Aerospace:The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Apr. 10, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/08/2026
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Company Integrated Advanced Systems (IAS) team in Phantom Works is looking for a Senior Electronic Design Engineer to join our team to work on a variety of activities related to advanced mission systems in Berkeley, Missouri. As a Senior Electronic Design Engineer, you will be part of a team working on the development of a Software Defined Radio (SDR). You will have the opportunity to lead the embedded software development, implementation of Big Iron open architecture standards, and test of products as they move through their development lifecycle. There will also be tasks related to evaluation of effectiveness of varies mission systems technologies installed on a variety of platforms to assist with technology development and EW system evaluations along with the assisting with writing proposals for new business. Here in Phantom Works, our job is to transform technologies (both existing and new) into new and innovative products for our customers. Serve as the lead for the embedded software implementation on the team's SDR Effectively work on a diverse team that partners with customers both internal to Boeing as well as external. A willingness to learn. We're a team with lots of domain experts to learn from. You will also interact with engineers in multiple disciplines outside of electrical engineering. Apply general knowledge of electronic/electrical systems or subsystems and components including operating principles, design variables, performance, and key interfaces. Occasional travel may be required (10% of the time)Position Responsibilities: Develops and validates requirements for various complex communication, sensor, electronic warfare and other electromagnetic systems and components. Develops and validates electromagnetic requirements for electricalelectronic systems, mechanical systems, interconnects and structures. Develops architectures to integrate complex systems and components into higher level systems and platforms. Performs complicated trade studies, modeling, simulation and other forms of analysis to predict component, interconnects and system performance and to optimize design around established requirements. Defines and conducts critical tests of various kinds to validate performance of designs to requirements. Manages appropriate aspects of critical supplier and partner performance to ensure compliance to requirements. Provides support to products throughout their lifecycle from manufacturing to customer use by providing guidance and support to resolve complex issues. Supports project management by providing coordinating development of work statement, budget, schedule and other required inputs and conducting appropriate reviews. Generates major sections of proposals to support development of new business. Works under minimal direction.This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) A final U.S. Secret Clearance Pre-Start is required.Basic Qualifications Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry 9+ years of work related experience with a Bachelor's OR 7+ years with a master's OR 3+ years with a PhD Experience programming in C/C++ Experience programming in Python Experience with Kubernetes or other containerization technologies Experience with message patters or transport technologies (ZMQ, Apache MQ, etc.) Experience with embedded systems developmentPreferred Qualifications Experience working with EW systems Experience working with RF hardware/subsystems Experience with Open Architectures, especially Big Iron Experience developing on Linux environmentsConflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process.Typical Education & Experience9+ years of work-related experience with a Bachelors degree OR 7+ years of work-related experience with a Masters OR 3+ years of work-related experience with a PhD In the USA, ABET accreditation is the preferred, although not required, accreditation standard.Relocation: This position offers relocation based on candidate eligibility.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift: This position is for 1st shift.At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $ 118,150 - $159,850Boeing offers the best benefits in Aerospace:The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Apr. 10, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital 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.McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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 One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/08/2026
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital 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.McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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 One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Company is seeking a Systems Engineer (Mid-Level & Senior) to support the F-15 Government Training Systems in Berkeley, MO. This individual will be a self-motivated Systems or Software Engineer to serve as our Distributed Mission Operations (DMO) focal. They will facilitate interoperability with other military simulation platforms including reviewing and evaluating draft interoperability requirements, interpreting software requirements to develop, document and execute system test plans, support testing and integration events, and investigate problem reports to determine root cause and correction plans.F-15 Training Systems provides trainers to USAF facilities throughout the US and at OCONUS locations to support warfighters. The F-15 Training systems include high fidelity cockpits with immersive visualization systems, high fidelity computer generated forces to provide synthetic opponents to train against, and applications providing instructors control over training setup, execution and post-training debrief.This role blends systems, software, and test engineering to assure simulation interoperability, enabling and supporting realistic, high fidelity mission training and test events.Position Responsibilities: Serve as the focal/technical lead for program-level DMO activities and cross-team coordination with internal Boeing programs, other contractors and US Government representatives Developing an understanding of system architecture and capabilities to enable decomposing system level requirements, especially to determine software requirements Develop and maintain DMO architecture artifacts including system configurations, federate system test plans, test procedures and test reports Plan and execute system tests to verify system functionality and investigate and diagnose system anomalies Provide on-site and remote support as technical point of contact including performing real-time troubleshooting during training and test events Support configuration management of software configuration items across numerous distributed sites Understanding USG classified computer security operations including decomposing security classification guidelines into system requirements, test plans and executing test points for system validation Mentor junior engineers and coordinate external vendor integrations and third-party services Produce clear engineering documentation, test plans and reports, and briefings for stakeholders and leadershipSpecial Program Access or other Government Access Requirements may be required for these positions.Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of relevant experience in software engineering, systems engineering, simulation integration, or avionics integration (5-10 years typical for P3). Excellent technical writing and oral communication; experience producing documents such as ICDs, test plans, and after action review artifacts. Ability and willingness to travel up to 10% of the time, primarily domestic but possibly internationalPreferred Qualifications (Desired Skills/Experience): 9 or more years' related work experience or an equivalent combination of higher education and experience (Senior Level 4) Prior Boeing or defense industry simulation/DMO experience Experience with DMO/LVC technologies and interoperability standards including HLA (RTI), DIS, or TENA Experience with CIGI, image generator integration, and common database/terrain standards (CDB, GIS) Networking experience including software tools for packet capture/analysis Strong software background including developing, updating and executing automated testing, especially using Microsoft Visual Studio C++ Familiarity with formal systems development lifecycle (V model) Experience coordinating distributed, multi-site events and tests and interacting with government stakeholdersConflict of Interest:Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) process.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits:At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Mid-Level (Level 3): $112,200- $151,800Summary Pay Range Senior (Level 4): $136,850- $185,150 Applications for this position will be accepted until Apr. 10, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredEducation Bachelor's Degree or Equivalent RequiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/08/2026
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Company is seeking a Systems Engineer (Mid-Level & Senior) to support the F-15 Government Training Systems in Berkeley, MO. This individual will be a self-motivated Systems or Software Engineer to serve as our Distributed Mission Operations (DMO) focal. They will facilitate interoperability with other military simulation platforms including reviewing and evaluating draft interoperability requirements, interpreting software requirements to develop, document and execute system test plans, support testing and integration events, and investigate problem reports to determine root cause and correction plans.F-15 Training Systems provides trainers to USAF facilities throughout the US and at OCONUS locations to support warfighters. The F-15 Training systems include high fidelity cockpits with immersive visualization systems, high fidelity computer generated forces to provide synthetic opponents to train against, and applications providing instructors control over training setup, execution and post-training debrief.This role blends systems, software, and test engineering to assure simulation interoperability, enabling and supporting realistic, high fidelity mission training and test events.Position Responsibilities: Serve as the focal/technical lead for program-level DMO activities and cross-team coordination with internal Boeing programs, other contractors and US Government representatives Developing an understanding of system architecture and capabilities to enable decomposing system level requirements, especially to determine software requirements Develop and maintain DMO architecture artifacts including system configurations, federate system test plans, test procedures and test reports Plan and execute system tests to verify system functionality and investigate and diagnose system anomalies Provide on-site and remote support as technical point of contact including performing real-time troubleshooting during training and test events Support configuration management of software configuration items across numerous distributed sites Understanding USG classified computer security operations including decomposing security classification guidelines into system requirements, test plans and executing test points for system validation Mentor junior engineers and coordinate external vendor integrations and third-party services Produce clear engineering documentation, test plans and reports, and briefings for stakeholders and leadershipSpecial Program Access or other Government Access Requirements may be required for these positions.Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of relevant experience in software engineering, systems engineering, simulation integration, or avionics integration (5-10 years typical for P3). Excellent technical writing and oral communication; experience producing documents such as ICDs, test plans, and after action review artifacts. Ability and willingness to travel up to 10% of the time, primarily domestic but possibly internationalPreferred Qualifications (Desired Skills/Experience): 9 or more years' related work experience or an equivalent combination of higher education and experience (Senior Level 4) Prior Boeing or defense industry simulation/DMO experience Experience with DMO/LVC technologies and interoperability standards including HLA (RTI), DIS, or TENA Experience with CIGI, image generator integration, and common database/terrain standards (CDB, GIS) Networking experience including software tools for packet capture/analysis Strong software background including developing, updating and executing automated testing, especially using Microsoft Visual Studio C++ Familiarity with formal systems development lifecycle (V model) Experience coordinating distributed, multi-site events and tests and interacting with government stakeholdersConflict of Interest:Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) process.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits:At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Mid-Level (Level 3): $112,200- $151,800Summary Pay Range Senior (Level 4): $136,850- $185,150 Applications for this position will be accepted until Apr. 10, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredEducation Bachelor's Degree or Equivalent RequiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
