Date Posted: 2026-02-16 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. This Chief Engineer (CE) role leads a a program within the Space-Intelligence, Surveillance & Reconnaissance (S-ISR)/Integrated Intelligence & Warfighter Support (I2WS) portfolio that provides high-impact software services to the Intelligence Community (IC) mission. The CE is responsible for all aspects of the technical baseline to include architecture, design, SW development, test and delivery using Scaled Agile Framework (SAFe) methodology. The successful candidate must have a proven track-record of leading technically challenging programs with direct customer-facing responsibilities while also leading engineers across multiple cross-functional Agile Development Teams. This program team is dispersed across multiple sites, and some travel is expected. What You Will Do Customer Recognized SME and directly involved in Proprietary customer engagements to support Program objectives. Support front end of the business activities, to include working with customers to understand their needs, helping to shape future work, and developing strong positive relationships with the customer community Business Capture Lead pursuit shaping and capture in the broader strategic business area to include Acquisition Transformation Strategy initiatives. Work with program management to innovate high-value, low-cost, yet quick-turn customer solutions. Accountable for participating in and leading Gates and Engineering Bid Reviews (EBR) and coordinating with leadership to ensure reviews are scheduled in accordance with approve Delegation of Authority (DOA). Execution Technical Lead in the area of digital signal processing (DSP). Ensure program success collaborating with program management, finance, supply chain, contracts, and other functions/disciplines, consistent with the CE responsibilities. Reviews and approve program technical baselines, ensuring program phase appropriateness. Ensure collaboration between teams to achieve cost/schedule/performance efficiencies. Review and approve engineering execution risk mitigations and opportunity capture plans, ensure alignment to work being performed. Ensure program-level Engineering Review Boards (ERBs) and ad hoc review boards are thoroughly implemented with appropriate frequency. Accountable for providing engineering inputs to Program Estimate At Completions (EACs) and Monthly Business Reviews (MBRs). Lead outstanding program execution, metrics collection, analysis and reporting. People Ensure base program and task order deliveries are staffed with appropriate engineering skillsets. Review and communicate staffing demand for the base program, task order deliveries, and in anticipation program modifications. Develop and maintain a Chief Engineer succession plan, actively mentor potential successors. Process & Policy Ensure the program's engineering leads and engineering personnel are following approved program processes, procedures and contractual requirements. Request and lead engineering reviews and customer technical meetings, ensuring they are appropriate to the scope and phase of the program (e.g. Operational Readiness Review, Increment Planning, etc.). Accountable to plan, develop, and review program estimates at complete, bids, milestone reviews, and gates per the approved S-ISR Delegation of Authority, or as otherwise directed by the Program Area Chief Engineer (PACE). If failures occur, ensure Failure Reporting, Analysis and Corrective Action (FRACA) implementation is thorough, addresses systemic issues (if any), and is in accordance with company policy. What You Will Learn Front End of the Business workflow and how to position the program to capture additional business. Lead a dispersed team effectively. Where to best apply the adoption of AI into the program efforts. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 12 years of prior relevant experience. Experience with Digital Signal Processing (DSP). Active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Business capture experience. Experience with AI/ML. Experience with cloud architecture. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 157,200 USD - 298,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/09/2026
Full time
Date Posted: 2026-02-16 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. This Chief Engineer (CE) role leads a a program within the Space-Intelligence, Surveillance & Reconnaissance (S-ISR)/Integrated Intelligence & Warfighter Support (I2WS) portfolio that provides high-impact software services to the Intelligence Community (IC) mission. The CE is responsible for all aspects of the technical baseline to include architecture, design, SW development, test and delivery using Scaled Agile Framework (SAFe) methodology. The successful candidate must have a proven track-record of leading technically challenging programs with direct customer-facing responsibilities while also leading engineers across multiple cross-functional Agile Development Teams. This program team is dispersed across multiple sites, and some travel is expected. What You Will Do Customer Recognized SME and directly involved in Proprietary customer engagements to support Program objectives. Support front end of the business activities, to include working with customers to understand their needs, helping to shape future work, and developing strong positive relationships with the customer community Business Capture Lead pursuit shaping and capture in the broader strategic business area to include Acquisition Transformation Strategy initiatives. Work with program management to innovate high-value, low-cost, yet quick-turn customer solutions. Accountable for participating in and leading Gates and Engineering Bid Reviews (EBR) and coordinating with leadership to ensure reviews are scheduled in accordance with approve Delegation of Authority (DOA). Execution Technical Lead in the area of digital signal processing (DSP). Ensure program success collaborating with program management, finance, supply chain, contracts, and other functions/disciplines, consistent with the CE responsibilities. Reviews and approve program technical baselines, ensuring program phase appropriateness. Ensure collaboration between teams to achieve cost/schedule/performance efficiencies. Review and approve engineering execution risk mitigations and opportunity capture plans, ensure alignment to work being performed. Ensure program-level Engineering Review Boards (ERBs) and ad hoc review boards are thoroughly implemented with appropriate frequency. Accountable for providing engineering inputs to Program Estimate At Completions (EACs) and Monthly Business Reviews (MBRs). Lead outstanding program execution, metrics collection, analysis and reporting. People Ensure base program and task order deliveries are staffed with appropriate engineering skillsets. Review and communicate staffing demand for the base program, task order deliveries, and in anticipation program modifications. Develop and maintain a Chief Engineer succession plan, actively mentor potential successors. Process & Policy Ensure the program's engineering leads and engineering personnel are following approved program processes, procedures and contractual requirements. Request and lead engineering reviews and customer technical meetings, ensuring they are appropriate to the scope and phase of the program (e.g. Operational Readiness Review, Increment Planning, etc.). Accountable to plan, develop, and review program estimates at complete, bids, milestone reviews, and gates per the approved S-ISR Delegation of Authority, or as otherwise directed by the Program Area Chief Engineer (PACE). If failures occur, ensure Failure Reporting, Analysis and Corrective Action (FRACA) implementation is thorough, addresses systemic issues (if any), and is in accordance with company policy. What You Will Learn Front End of the Business workflow and how to position the program to capture additional business. Lead a dispersed team effectively. Where to best apply the adoption of AI into the program efforts. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 12 years of prior relevant experience. Experience with Digital Signal Processing (DSP). Active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Business capture experience. Experience with AI/ML. Experience with cloud architecture. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 157,200 USD - 298,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
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 Developer US-WI-Mayville Job ID: Type: Regular Full-Time # of Openings: 1 Category: Information Technology Metalcraft of Mayville, Inc. Overview Metalcraft is hiring a Software Developer to support the design, development, and maintenance of enterprise software applications. This role will work closely with senior developers and the Software Architect to build and enhance modern web-based solutions while helping maintain and gradually modernize existing systems. The ideal candidate will have experience developing applications using modern JavaScript and .NET frameworks and REST APIs, while also contributing to the ongoing improvement and enhancements of legacy systems. This role offers the opportunity to work on both new application development and modernization initiatives as the organization evolves its technology stack. Work is onsite only, in Mayville, Wisconsin. Not remote. Responsibilities Design, develop, test, and maintain web and enterprise applications that support business operations. Collaborate with the Software Architect and development team to implement scalable and maintainable software solutions. Write clean, efficient, and well-documented code following established development standards. Assist in maintaining and enhancing existing JavaScript-based applications and systems. Develop and integrate RESTful APIs and backend services. Participate in code reviews, debugging, and troubleshooting to ensure high-quality software delivery. Work with source control systems and issue tracking tools to manage development tasks and versioning. Support application deployments and assist with testing across development, staging, and production environments. Help ensure data accuracy and integrity during application updates and releases. Collaborate with business stakeholders and IT teams to understand requirements and translate them into technical solutions. Participate in Agile or Waterfall development processes depending on project needs. Provide occasional support for troubleshooting and system updates across multiple locations. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience). 3-5+ years of professional software development experience. Experience with modern JavaScript frameworks such as React, Next.js, or Angular. Experience building or integrating REST APIs. Familiarity with cloud environments, preferably Microsoft Azure (AWS or GCP experience is a plus). Experience working with relational databases and SQL. Understanding of software development best practices, debugging techniques, and version control systems. Familiarity with Agile, Scrum, or Waterfall methodologies. Strong problem-solving skills and the ability to work collaboratively within a development team. 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 PI0bc9053b5-
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 Developer US-WI-Mayville Job ID: Type: Regular Full-Time # of Openings: 1 Category: Information Technology Metalcraft of Mayville, Inc. Overview Metalcraft is hiring a Software Developer to support the design, development, and maintenance of enterprise software applications. This role will work closely with senior developers and the Software Architect to build and enhance modern web-based solutions while helping maintain and gradually modernize existing systems. The ideal candidate will have experience developing applications using modern JavaScript and .NET frameworks and REST APIs, while also contributing to the ongoing improvement and enhancements of legacy systems. This role offers the opportunity to work on both new application development and modernization initiatives as the organization evolves its technology stack. Work is onsite only, in Mayville, Wisconsin. Not remote. Responsibilities Design, develop, test, and maintain web and enterprise applications that support business operations. Collaborate with the Software Architect and development team to implement scalable and maintainable software solutions. Write clean, efficient, and well-documented code following established development standards. Assist in maintaining and enhancing existing JavaScript-based applications and systems. Develop and integrate RESTful APIs and backend services. Participate in code reviews, debugging, and troubleshooting to ensure high-quality software delivery. Work with source control systems and issue tracking tools to manage development tasks and versioning. Support application deployments and assist with testing across development, staging, and production environments. Help ensure data accuracy and integrity during application updates and releases. Collaborate with business stakeholders and IT teams to understand requirements and translate them into technical solutions. Participate in Agile or Waterfall development processes depending on project needs. Provide occasional support for troubleshooting and system updates across multiple locations. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience). 3-5+ years of professional software development experience. Experience with modern JavaScript frameworks such as React, Next.js, or Angular. Experience building or integrating REST APIs. Familiarity with cloud environments, preferably Microsoft Azure (AWS or GCP experience is a plus). Experience working with relational databases and SQL. Understanding of software development best practices, debugging techniques, and version control systems. Familiarity with Agile, Scrum, or Waterfall methodologies. Strong problem-solving skills and the ability to work collaboratively within a development team. 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 PI0bc9053b5-
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
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).
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) 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. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) 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. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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).
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) 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. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) 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. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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).
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).
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) 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. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) 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. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior 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).
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 or Mid-Level Software Engineer to join our team in St. Louis, MO or Daytona Beach, FL . This role is critical in provisioning and managing lab environments both on-premises and in the cloud, orchestrating automated integration testing across multiple program segments, and managing deployment mechanisms to physical and virtual systems. The ideal candidate will have a strong background in cloud infrastructure, automation, CI/CD pipelines, and integration testing orchestration, with a focus on delivering actionable, data-driven feedback to development teams to improve product stability, performance, and cross-segment integration. Position Responsibilities: Lab Environment Provisioning: Design, provision, and maintain scalable lab environments on-premises and on cloud platforms (Azure, AWS) using Infrastructure as Code (IaC) tools such as Terraform and Ansible. Automated Integration Testing Orchestration: Develop and manage automated integration testing workflows that aggregate inputs from multiple program segments, ensuring comprehensive test coverage and timely feedback. Deployment Management: Manage and optimize automated deployment pipelines and mechanisms for both physical and virtual systems, ensuring reliable and repeatable software delivery. Data-Driven Feedback & Reporting: Orchestrate processes to collect, analyze, and deliver comprehensive feedback on product stability, performance, and integration issues to segment development teams, enabling continuous improvement. Collaboration & Communication: Work closely with cross-functional teams including development, QA, security, and physical lab team to align deployment strategies, testing requirements, and environment configurations. Security & Compliance: Integrate security best practices into provisioning, deploying, and testing processes, supporting compliance with relevant standards and frameworks. Basic Qualifications (Required Skills/Experience): Bachelor's Degree 3+ years of experience in DevSecOps, cloud engineering, or related software engineering roles. Hands-on experience provisioning and managing lab/test environments on-premises and in cloud platforms (Azure and AWS). Proficiency with Infrastructure as Code tools such as Terraform, Ansible, ARM templates, or similar. Experience with Kubernetes (EKS, AKS) and container orchestration. Strong background in CI/CD pipeline development and automation using tools like GitLab CI, GitHub Actions, Jenkins, or Azure DevOps. Familiarity with automated integration testing frameworks and orchestration. Solid scripting skills in Python, Bash, or PowerShell. Experience with monitoring, logging, and observability tools (Prometheus, Grafana, ELK, CloudWatch). Understanding of security best practices in cloud and DevSecOps environments. Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment. Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience Certifications such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Azure DevOps Engineer. Experience deploying, operating, and troubleshooting production-grade Kubernetes clusters (EKS/AKS/GKE or on-prem distributions) and integrating them into CI/CD and GitOps workflows Experience with security scanning tools and compliance frameworks (CIS, NIST, SOC 2, FedRAMP). Knowledge of secrets management tools like HashiCorp Vault or Azure Key Vault. Experience with GitOps workflows and tools like Argo CD or Flux. Familiarity with service mesh technologies (Istio, Linkerd). 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 primarily for 1st shift; however, alternate shifts may be required to meet program objectives. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. 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. Relocation benefits are available for St. Louis, MO candidates. Relocation benefits are not available for Daytona Beach, FL candidates. Berkeley, MO: Summary Pay Range for Associate level: $99,450 - $134,550 Summary Pay Range for Mid-Level: $126,650 - $171,350 Daytona Beach, FL: Summary Pay Range for Associate level: $92,650 - $125,350 Summary Pay Range for Mid-Level: $118,150 - $159,850 Applications for this position will be accepted until Apr. 21, 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 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 or Mid-Level Software Engineer to join our team in St. Louis, MO or Daytona Beach, FL . This role is critical in provisioning and managing lab environments both on-premises and in the cloud, orchestrating automated integration testing across multiple program segments, and managing deployment mechanisms to physical and virtual systems. The ideal candidate will have a strong background in cloud infrastructure, automation, CI/CD pipelines, and integration testing orchestration, with a focus on delivering actionable, data-driven feedback to development teams to improve product stability, performance, and cross-segment integration. Position Responsibilities: Lab Environment Provisioning: Design, provision, and maintain scalable lab environments on-premises and on cloud platforms (Azure, AWS) using Infrastructure as Code (IaC) tools such as Terraform and Ansible. Automated Integration Testing Orchestration: Develop and manage automated integration testing workflows that aggregate inputs from multiple program segments, ensuring comprehensive test coverage and timely feedback. Deployment Management: Manage and optimize automated deployment pipelines and mechanisms for both physical and virtual systems, ensuring reliable and repeatable software delivery. Data-Driven Feedback & Reporting: Orchestrate processes to collect, analyze, and deliver comprehensive feedback on product stability, performance, and integration issues to segment development teams, enabling continuous improvement. Collaboration & Communication: Work closely with cross-functional teams including development, QA, security, and physical lab team to align deployment strategies, testing requirements, and environment configurations. Security & Compliance: Integrate security best practices into provisioning, deploying, and testing processes, supporting compliance with relevant standards and frameworks. Basic Qualifications (Required Skills/Experience): Bachelor's Degree 3+ years of experience in DevSecOps, cloud engineering, or related software engineering roles. Hands-on experience provisioning and managing lab/test environments on-premises and in cloud platforms (Azure and AWS). Proficiency with Infrastructure as Code tools such as Terraform, Ansible, ARM templates, or similar. Experience with Kubernetes (EKS, AKS) and container orchestration. Strong background in CI/CD pipeline development and automation using tools like GitLab CI, GitHub Actions, Jenkins, or Azure DevOps. Familiarity with automated integration testing frameworks and orchestration. Solid scripting skills in Python, Bash, or PowerShell. Experience with monitoring, logging, and observability tools (Prometheus, Grafana, ELK, CloudWatch). Understanding of security best practices in cloud and DevSecOps environments. Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment. Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience Certifications such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Azure DevOps Engineer. Experience deploying, operating, and troubleshooting production-grade Kubernetes clusters (EKS/AKS/GKE or on-prem distributions) and integrating them into CI/CD and GitOps workflows Experience with security scanning tools and compliance frameworks (CIS, NIST, SOC 2, FedRAMP). Knowledge of secrets management tools like HashiCorp Vault or Azure Key Vault. Experience with GitOps workflows and tools like Argo CD or Flux. Familiarity with service mesh technologies (Istio, Linkerd). 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 primarily for 1st shift; however, alternate shifts may be required to meet program objectives. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. 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. Relocation benefits are available for St. Louis, MO candidates. Relocation benefits are not available for Daytona Beach, FL candidates. Berkeley, MO: Summary Pay Range for Associate level: $99,450 - $134,550 Summary Pay Range for Mid-Level: $126,650 - $171,350 Daytona Beach, FL: Summary Pay Range for Associate level: $92,650 - $125,350 Summary Pay Range for Mid-Level: $118,150 - $159,850 Applications for this position will be accepted until Apr. 21, 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 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.
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 currently seeking Senior Platform Software Engineers to join a proprietary Air Dominance program in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The primary statement of work for this team is to ensure successful integration of various software products into a consistent DevSecOps framework. Because of the unique requirements of this role, the team is seeking various skillsets, and the chosen candidates' specific statement of work will be determined based on their background, interests, and the team's needs. Consider applying for this requisition if you meet the basic qualifications and have interest in any combination of the following tasks: Streamlining tools for software build, test, integration, automation, etc. to remove waste and inefficiency in the engineering lifecycle Working with product teams to identify their unique requirements for software tooling and DevSecOps Working with tools/services such as AWS, Azure, Kubernetes, GitLab CI and components, static code analysis tools, etc. Analyzing safety-critical software to ensure compliance and programmatic benchmarks are met Working cross-functionally to solve complex engineering problems Position Responsibilities: Working cross-functionally to solve complex engineering problems Develops and maintains code and integrates software components into a fully functional software system Works with internal and external customers to remove technical blockers and support efficient development of their products Documents roadmaps, plans, and technical requirements to deliver upon key objectives Coaches earlier-career software engineers in industry best practices Works on an agile team to accomplish team goals Executes and documents software research and development projects Works under general direction This position requires the ability to obtain a Secret U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security Clearance Post-Start. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) 9+ years of experience programming in C, C++, C#, Python, Java, or Ada (or an equivalent combination of technical education and experience) 6+ years of experience working on an Agile team using Agile methodologies and tools such as Jira 6+ years of professional experience in Defense/Aerospace OR working with DevSecOps technologies such as Kubernetes, Cloud services, GitLab, Terraform, etc. Ability to work in a multi-tasking environment while supporting multiple concurrent activities Ability to work effectively in a collaborative team environment Mentorship/coaching abilities Excellent roadmapping, documentation, and communication skills Mastery of multiple DevSecOps tools/technologies (AWS, Azure, Terraform, GitLab CI and Components, build systems, SonarQube, etc.) 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 and 9 years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related relevant experience Knowledge or experience in the defense or avionics industry Knowledge of networking principles Knowledge of required levels of rigor for safety-critical software Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment 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. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: 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: $160,650.00 - $217,350.00. Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 17, 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 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.
04/08/2026
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 currently seeking Senior Platform Software Engineers to join a proprietary Air Dominance program in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The primary statement of work for this team is to ensure successful integration of various software products into a consistent DevSecOps framework. Because of the unique requirements of this role, the team is seeking various skillsets, and the chosen candidates' specific statement of work will be determined based on their background, interests, and the team's needs. Consider applying for this requisition if you meet the basic qualifications and have interest in any combination of the following tasks: Streamlining tools for software build, test, integration, automation, etc. to remove waste and inefficiency in the engineering lifecycle Working with product teams to identify their unique requirements for software tooling and DevSecOps Working with tools/services such as AWS, Azure, Kubernetes, GitLab CI and components, static code analysis tools, etc. Analyzing safety-critical software to ensure compliance and programmatic benchmarks are met Working cross-functionally to solve complex engineering problems Position Responsibilities: Working cross-functionally to solve complex engineering problems Develops and maintains code and integrates software components into a fully functional software system Works with internal and external customers to remove technical blockers and support efficient development of their products Documents roadmaps, plans, and technical requirements to deliver upon key objectives Coaches earlier-career software engineers in industry best practices Works on an agile team to accomplish team goals Executes and documents software research and development projects Works under general direction This position requires the ability to obtain a Secret U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security Clearance Post-Start. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) 9+ years of experience programming in C, C++, C#, Python, Java, or Ada (or an equivalent combination of technical education and experience) 6+ years of experience working on an Agile team using Agile methodologies and tools such as Jira 6+ years of professional experience in Defense/Aerospace OR working with DevSecOps technologies such as Kubernetes, Cloud services, GitLab, Terraform, etc. Ability to work in a multi-tasking environment while supporting multiple concurrent activities Ability to work effectively in a collaborative team environment Mentorship/coaching abilities Excellent roadmapping, documentation, and communication skills Mastery of multiple DevSecOps tools/technologies (AWS, Azure, Terraform, GitLab CI and Components, build systems, SonarQube, etc.) 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 and 9 years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related relevant experience Knowledge or experience in the defense or avionics industry Knowledge of networking principles Knowledge of required levels of rigor for safety-critical software Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment 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. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: 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: $160,650.00 - $217,350.00. Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 17, 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 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.
DivIHN (pronounced "divine") is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialist, Lavanya at Title: Cybersecurity Specialist Duration: 6 Months with a strong possibility of extension or full-time Location: St. Paul, MN or Abbott Park (North Chicago) Travel: Very limited, possibly 1 2 times during the 6 month period, likely none. Work Schedule: 8 hours/day, 5 days/week Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Role Overview The role has a strong focus on medical devices, IoT/sensor-based products, mobile applications, and backend systems, including building security standards, guidance, dashboards, and validating the effectiveness of cybersecurity controls. Description: As a Senior Cyber Specialist Digital Enablement, you will play an important role in ensuring that Client product technologies leveraged by healthcare providers and consumers are secure-by-design. These technologies range from regulated medical devices to e-commerce and customer loyalty solutions. You will evaluate the cybersecurity posture of new and existing product technologies, identify risks, recommend mitigation strategies, and ensure timely remediation and closure. You will bring deep expertise in security risks, controls, mitigations, and global cybersecurity standards to Client product teams. This role is expert-driven and guidance-focused, requiring strong technical depth, excellent communication skills, and a proven ability to navigate a large, global environment. You will partner closely with internal product owners, developers, engineers, security architects, and external collaborators to evaluate solutions, strengthen governance, and guide secure product development. Your work will directly contribute to the delivery of scalable, compliant, and secure product technologies, cloud services, and connected applications. The role focuses on consultative responsibilities rather than hands on development or cybersecurity operations. Primary Responsibilities Develop and maintain security guidance documentation, including standards and frameworks Conduct full-stack architecture reviews of products and platforms, including consumer identity platforms Perform cybersecurity threat modeling and prepare outputs for review by internal and external stakeholders Establish, document, and monitor compliance with risk based and regulatory-informed cybersecurity requirements for individual products Collaborate with product designers and developers to ensure security considerations are integrated early into product design discussions Validate the security of product software supply chains and product deployment pipelines Develop risk mitigation strategies and recommend appropriate security controls Assess and prioritize product security risks through detailed evaluation of vulnerability assessments and penetration testing results Evaluate the effectiveness of product cybersecurity controls Identify and effectively communicate cyber risk trends Ensure risk management plans are clearly documented, actionable, and accurately reflect the organization's risk tolerance Track and ensure product compliance with defined vulnerability remediation SLAs. Participate in governance forums, architecture reviews, and technical discussions as a representative of Product Cybersecurity Required: At least 5 years of experience but typically 7 plus years of experience is required. Possess expertise in valuing and implementing industry standards such as the ISO 27001/2, SOC 2, HITRUST and FedRAMP Information Security standard and the ISO 22301 Business Continuity Standard. Experience with implementation and operational use of GRC toolsets (Governance Risk and Compliance). Possess CISSP certification (or similar) and be knowledge of national and international regulatory compliances and frameworks such as ISO, SOX, BASEL II, EU DPD, HIPAA, and PCI DSS. Ability to influence policy/standards for emerging tech (AI, quantum, cloud). About You 7 years of experience in cybersecurity or technology architecture, assessment, or consulting with a focus on the development of secure digital product technologies Experience conducting risk assessments, control assessments, and governance reporting Ability to clearly articulate cybersecurity risks and recommended mitigations to product development teams Strong understanding of modern technology stacks, including cloud native architectures and API-driven services Understanding of core concepts related to identity and access management, secure software development, network security, and cryptography Familiar with device to device, service to service, and consumer identity and access management practices Familiarity with modern phishing-resistant authentication technologies, including WebAuthn and Passkeys Understanding of cybersecurity risks associated with emerging technologies, including quantum computing and artificial intelligence Knowledge of global medical device regulatory frameworks Excellent analytical, problem-solving, and communication skills Working knowledge of security frameworks and standards (e.g., NIST, ISO/IEC 27001, PCI DSS) Strong collaboration and influencing skills, with the ability to work effectively across technical and business teams Exceptional written and verbal communication skills, with the ability to tailor complex information for diverse audiences Strong analytical and problem solving skills, with the ability to work independently and manage multiple priorities Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Information Assurance, Software Engineering, or a related field but not mandatory if experience is strong Preferred Qualifications Strong preference for candidates with cybersecurity experience across e commerce, mobile apps, IoT, or medical devices. Preferred certifications include CISSP, HCISPP, CISM, CCSP, SABSA Foundation, CISA, or similar industry-recognized certifications Background in application security, product security, and secure development practices. Experience supporting mobile applications, sensors, and backend operational systems. Ability to draft, influence, and operationalize cybersecurity policies and standards. Reading Static Application Security Testing (SAST)/Dynamic Application Security Testing (DAST) outputs, pen test results; collaborating with teams; no major required internal tools. Top 3 required skills: Cybersecurity consulting w/ development teams (software/hardware). Ability to influence policy/standards for emerging tech (AI, quantum, cloud). Ability to evaluate the effectiveness of cybersecurity controls. Top 3 preferred skills: Medical device or IoT cybersecurity; development background; broader product security experience. Certifications: Not required; experience is prioritized over certs. Industry experience: Medical device preferred; e commerce, IoT, cloud, and mobile app security also acceptable. Systems used daily: Reading Static Application Security Testing (SAST)/Dynamic Application Security Testing (DAST) outputs, pen test results; collaborating with teams; no major required internal tools. Personality traits: Curious, detail oriented, collaborative, strong communication, relationship builder. Interview Process: One Teams Video interview About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status. SOX, ISO, HIPAA, HITRUST, SOC 2, ISO 27001/2, BASEL II, EU DPD
04/08/2026
Full time
DivIHN (pronounced "divine") is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialist, Lavanya at Title: Cybersecurity Specialist Duration: 6 Months with a strong possibility of extension or full-time Location: St. Paul, MN or Abbott Park (North Chicago) Travel: Very limited, possibly 1 2 times during the 6 month period, likely none. Work Schedule: 8 hours/day, 5 days/week Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Role Overview The role has a strong focus on medical devices, IoT/sensor-based products, mobile applications, and backend systems, including building security standards, guidance, dashboards, and validating the effectiveness of cybersecurity controls. Description: As a Senior Cyber Specialist Digital Enablement, you will play an important role in ensuring that Client product technologies leveraged by healthcare providers and consumers are secure-by-design. These technologies range from regulated medical devices to e-commerce and customer loyalty solutions. You will evaluate the cybersecurity posture of new and existing product technologies, identify risks, recommend mitigation strategies, and ensure timely remediation and closure. You will bring deep expertise in security risks, controls, mitigations, and global cybersecurity standards to Client product teams. This role is expert-driven and guidance-focused, requiring strong technical depth, excellent communication skills, and a proven ability to navigate a large, global environment. You will partner closely with internal product owners, developers, engineers, security architects, and external collaborators to evaluate solutions, strengthen governance, and guide secure product development. Your work will directly contribute to the delivery of scalable, compliant, and secure product technologies, cloud services, and connected applications. The role focuses on consultative responsibilities rather than hands on development or cybersecurity operations. Primary Responsibilities Develop and maintain security guidance documentation, including standards and frameworks Conduct full-stack architecture reviews of products and platforms, including consumer identity platforms Perform cybersecurity threat modeling and prepare outputs for review by internal and external stakeholders Establish, document, and monitor compliance with risk based and regulatory-informed cybersecurity requirements for individual products Collaborate with product designers and developers to ensure security considerations are integrated early into product design discussions Validate the security of product software supply chains and product deployment pipelines Develop risk mitigation strategies and recommend appropriate security controls Assess and prioritize product security risks through detailed evaluation of vulnerability assessments and penetration testing results Evaluate the effectiveness of product cybersecurity controls Identify and effectively communicate cyber risk trends Ensure risk management plans are clearly documented, actionable, and accurately reflect the organization's risk tolerance Track and ensure product compliance with defined vulnerability remediation SLAs. Participate in governance forums, architecture reviews, and technical discussions as a representative of Product Cybersecurity Required: At least 5 years of experience but typically 7 plus years of experience is required. Possess expertise in valuing and implementing industry standards such as the ISO 27001/2, SOC 2, HITRUST and FedRAMP Information Security standard and the ISO 22301 Business Continuity Standard. Experience with implementation and operational use of GRC toolsets (Governance Risk and Compliance). Possess CISSP certification (or similar) and be knowledge of national and international regulatory compliances and frameworks such as ISO, SOX, BASEL II, EU DPD, HIPAA, and PCI DSS. Ability to influence policy/standards for emerging tech (AI, quantum, cloud). About You 7 years of experience in cybersecurity or technology architecture, assessment, or consulting with a focus on the development of secure digital product technologies Experience conducting risk assessments, control assessments, and governance reporting Ability to clearly articulate cybersecurity risks and recommended mitigations to product development teams Strong understanding of modern technology stacks, including cloud native architectures and API-driven services Understanding of core concepts related to identity and access management, secure software development, network security, and cryptography Familiar with device to device, service to service, and consumer identity and access management practices Familiarity with modern phishing-resistant authentication technologies, including WebAuthn and Passkeys Understanding of cybersecurity risks associated with emerging technologies, including quantum computing and artificial intelligence Knowledge of global medical device regulatory frameworks Excellent analytical, problem-solving, and communication skills Working knowledge of security frameworks and standards (e.g., NIST, ISO/IEC 27001, PCI DSS) Strong collaboration and influencing skills, with the ability to work effectively across technical and business teams Exceptional written and verbal communication skills, with the ability to tailor complex information for diverse audiences Strong analytical and problem solving skills, with the ability to work independently and manage multiple priorities Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Information Assurance, Software Engineering, or a related field but not mandatory if experience is strong Preferred Qualifications Strong preference for candidates with cybersecurity experience across e commerce, mobile apps, IoT, or medical devices. Preferred certifications include CISSP, HCISPP, CISM, CCSP, SABSA Foundation, CISA, or similar industry-recognized certifications Background in application security, product security, and secure development practices. Experience supporting mobile applications, sensors, and backend operational systems. Ability to draft, influence, and operationalize cybersecurity policies and standards. Reading Static Application Security Testing (SAST)/Dynamic Application Security Testing (DAST) outputs, pen test results; collaborating with teams; no major required internal tools. Top 3 required skills: Cybersecurity consulting w/ development teams (software/hardware). Ability to influence policy/standards for emerging tech (AI, quantum, cloud). Ability to evaluate the effectiveness of cybersecurity controls. Top 3 preferred skills: Medical device or IoT cybersecurity; development background; broader product security experience. Certifications: Not required; experience is prioritized over certs. Industry experience: Medical device preferred; e commerce, IoT, cloud, and mobile app security also acceptable. Systems used daily: Reading Static Application Security Testing (SAST)/Dynamic Application Security Testing (DAST) outputs, pen test results; collaborating with teams; no major required internal tools. Personality traits: Curious, detail oriented, collaborative, strong communication, relationship builder. Interview Process: One Teams Video interview About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status. SOX, ISO, HIPAA, HITRUST, SOC 2, ISO 27001/2, BASEL II, EU DPD
Farm Bureau Financial Services
West Des Moines, Iowa
Senior UI/UX & Front-End Developer (Angular/.NET) Who We Are: The Iowa Farm Bureau Federation (IFBF) is committed to the people, progress, and pride of Iowa. IFBF is Iowa's largest farm organization, established in 1918. We remain a statewide, non-profit, grassroots farm organization dedicated to creating a vibrant future for agriculture, farm families, and rural communities. The Information Resources department is responsible for creating systems to manage memberships and support the ongoing business of Iowa Farm Bureau. Key Responsibilities: UI/UX Design & Development: Design and implement modern, visually appealing user interfaces using Angular. Ensure adherence to UI/UX best practices, including color theory, typography, and layout design. Work closely with designers to translate wireframes and prototypes into functional front-end code. Front-End Development: Develop scalable and maintainable front-end applications using Angular, TypeScript, HTML, and CSS. Implement responsive design to ensure cross-platform and cross-device compatibility. Optimize performance by employing the best coding practices, lazy loading, and caching techniques. Backend Development Support (.NET): Collaborate with backend developers to integrate APIs and ensure seamless data flow. Work with C# and .NET for minor backend modifications and API enhancements. Assist in debugging and troubleshooting front-end and backend interactions. Code Quality & Testing: Write clean, maintainable, and well-documented code following best practices. Conduct unit testing using frameworks like Jasmine/Karma to ensure code stability. Perform cross-browser and accessibility testing to meet WCAG compliance. Collaboration & Continuous Learning: Work with cross-functional teams, including UX designers, product managers, and backend engineers. Stay up to date with the latest Angular updates, UI trends, and best practices. What It Takes to Join Our Team: Required Skills & Experience: Expertise in Angular (components, modules, services, routing, RxJS). State Management: Experience with Redux or NgRx for efficient state handling. Build Tools: Knowledge of Webpack, Gulp, or other bundling tools. Strong knowledge of HTML, CSS, JavaScript, and TypeScript. UI/UX Design Principles: Experience with design tools and usability best practices. Responsive Web Development: Ability to create adaptive and mobile-friendly applications. API Integration: Experience working with RESTful APIs and handling authentication. Version Control: Proficiency in Git and collaborative workflows. Testing Frameworks: Familiarity with Jasmine/Karma for unit testing. Desired Skills (Nice to Have): Backend Development: Familiarity with C#/.NET, basic API development, and SQL. Accessibility Standards: Understanding of WCAG and ARIA for accessible web development. Azure Experience: Familiarity with Azure DevOps, CI/CD pipelines, and cloud deployment.
04/08/2026
Full time
Senior UI/UX & Front-End Developer (Angular/.NET) Who We Are: The Iowa Farm Bureau Federation (IFBF) is committed to the people, progress, and pride of Iowa. IFBF is Iowa's largest farm organization, established in 1918. We remain a statewide, non-profit, grassroots farm organization dedicated to creating a vibrant future for agriculture, farm families, and rural communities. The Information Resources department is responsible for creating systems to manage memberships and support the ongoing business of Iowa Farm Bureau. Key Responsibilities: UI/UX Design & Development: Design and implement modern, visually appealing user interfaces using Angular. Ensure adherence to UI/UX best practices, including color theory, typography, and layout design. Work closely with designers to translate wireframes and prototypes into functional front-end code. Front-End Development: Develop scalable and maintainable front-end applications using Angular, TypeScript, HTML, and CSS. Implement responsive design to ensure cross-platform and cross-device compatibility. Optimize performance by employing the best coding practices, lazy loading, and caching techniques. Backend Development Support (.NET): Collaborate with backend developers to integrate APIs and ensure seamless data flow. Work with C# and .NET for minor backend modifications and API enhancements. Assist in debugging and troubleshooting front-end and backend interactions. Code Quality & Testing: Write clean, maintainable, and well-documented code following best practices. Conduct unit testing using frameworks like Jasmine/Karma to ensure code stability. Perform cross-browser and accessibility testing to meet WCAG compliance. Collaboration & Continuous Learning: Work with cross-functional teams, including UX designers, product managers, and backend engineers. Stay up to date with the latest Angular updates, UI trends, and best practices. What It Takes to Join Our Team: Required Skills & Experience: Expertise in Angular (components, modules, services, routing, RxJS). State Management: Experience with Redux or NgRx for efficient state handling. Build Tools: Knowledge of Webpack, Gulp, or other bundling tools. Strong knowledge of HTML, CSS, JavaScript, and TypeScript. UI/UX Design Principles: Experience with design tools and usability best practices. Responsive Web Development: Ability to create adaptive and mobile-friendly applications. API Integration: Experience working with RESTful APIs and handling authentication. Version Control: Proficiency in Git and collaborative workflows. Testing Frameworks: Familiarity with Jasmine/Karma for unit testing. Desired Skills (Nice to Have): Backend Development: Familiarity with C#/.NET, basic API development, and SQL. Accessibility Standards: Understanding of WCAG and ARIA for accessible web development. Azure Experience: Familiarity with Azure DevOps, CI/CD pipelines, and cloud deployment.
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 currently seeking Platform Software Engineers (Associate and Experienced) to join a proprietary Air Dominance program in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The primary statement of work for this team is to ensure successful integration of various software products into a consistent DevSecOps framework. Because of the unique requirements of this role, the team is seeking various skillsets, and the chosen candidates' specific statement of work will be determined based on their background, interests, and the team's needs. Consider applying for this requisition if you meet the basic qualifications and have interest in any combination of the following tasks: Streamlining tools for software build, test, integration, automation, etc. to remove waste and inefficiency in the engineering lifecycle Working with product teams to identify their unique requirements for software tooling and DevSecOps Working with tools/services such as AWS, Azure, Kubernetes, GitLab CI and components, static code analysis tools, etc. Analyzing safety-critical software to ensure compliance and programmatic benchmarks are met Working cross-functionally to solve complex engineering problems Our team is currently hiring for a broad range of experience levels including: Associate and Experienced Engineers. Position Responsibilities: Working cross-functionally to solve complex engineering problems Develops and maintains code and integrates software components into a fully functional software system Works with internal and external customers to remove technical blockers and support efficient development of their products Works on an agile team in order to accomplish team goals Executes and documents software research and development projects Works under general direction Basic Qualifications (Required Skills/ Experience) for Associate: Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) 2+ years of professional experience programming in C, C++, C#, Python, Java, or Ada (or an equivalent combination of technical education and experience) 2+ years of experience working on an Agile team using Agile methodologies and tools such as Jira 2+ years of professional experience in Defense/Aerospace OR working with DevSecOps technologies such as Kubernetes, Cloud services, GitLab, Terraform, etc. Strong coordination and communication skills Ability to work in a multi-tasking environment while supporting multiple concurrent activities Ability to work effectively in a collaborative team environment Basic Qualifications (Required Skills/ Experience) for Experienced: Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) 5+ years of experience programming in C, C++, C#, Python, Java, or Ada (or an equivalent combination of technical education and experience) 4+ years of experience working on an Agile team using Agile methodologies and tools such as Jira 4+ years of professional experience in Defense/Aerospace OR working with DevSecOps technologies such as Kubernetes, Cloud services, GitLab, Terraform, etc. Strong coordination and communication skills Ability to work in a multi-tasking environment while supporting multiple concurrent activities Ability to work effectively in a collaborative team environment 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 and 2 years of related work experience OR Bachelor's Degree and 6+ years of directly related work experience OR 10+ years of related relevant experience Knowledge or experience in the defense or avionics industry Mastery of multiple DevSecOps tools/technologies (AWS, Azure, Terraform, GitLab CI and Components, build systems, SonarQube, etc.) Knowledge of networking principles Knowledge of required levels of rigor for safety-critical software Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment 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. CodeVue Coding Challenge To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: 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: Associate Level: $99,450.00 - $134,550.00. Experienced: $126,650.00 - $171,350.00. Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 17, 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 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.
04/08/2026
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 currently seeking Platform Software Engineers (Associate and Experienced) to join a proprietary Air Dominance program in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The primary statement of work for this team is to ensure successful integration of various software products into a consistent DevSecOps framework. Because of the unique requirements of this role, the team is seeking various skillsets, and the chosen candidates' specific statement of work will be determined based on their background, interests, and the team's needs. Consider applying for this requisition if you meet the basic qualifications and have interest in any combination of the following tasks: Streamlining tools for software build, test, integration, automation, etc. to remove waste and inefficiency in the engineering lifecycle Working with product teams to identify their unique requirements for software tooling and DevSecOps Working with tools/services such as AWS, Azure, Kubernetes, GitLab CI and components, static code analysis tools, etc. Analyzing safety-critical software to ensure compliance and programmatic benchmarks are met Working cross-functionally to solve complex engineering problems Our team is currently hiring for a broad range of experience levels including: Associate and Experienced Engineers. Position Responsibilities: Working cross-functionally to solve complex engineering problems Develops and maintains code and integrates software components into a fully functional software system Works with internal and external customers to remove technical blockers and support efficient development of their products Works on an agile team in order to accomplish team goals Executes and documents software research and development projects Works under general direction Basic Qualifications (Required Skills/ Experience) for Associate: Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) 2+ years of professional experience programming in C, C++, C#, Python, Java, or Ada (or an equivalent combination of technical education and experience) 2+ years of experience working on an Agile team using Agile methodologies and tools such as Jira 2+ years of professional experience in Defense/Aerospace OR working with DevSecOps technologies such as Kubernetes, Cloud services, GitLab, Terraform, etc. Strong coordination and communication skills Ability to work in a multi-tasking environment while supporting multiple concurrent activities Ability to work effectively in a collaborative team environment Basic Qualifications (Required Skills/ Experience) for Experienced: Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) 5+ years of experience programming in C, C++, C#, Python, Java, or Ada (or an equivalent combination of technical education and experience) 4+ years of experience working on an Agile team using Agile methodologies and tools such as Jira 4+ years of professional experience in Defense/Aerospace OR working with DevSecOps technologies such as Kubernetes, Cloud services, GitLab, Terraform, etc. Strong coordination and communication skills Ability to work in a multi-tasking environment while supporting multiple concurrent activities Ability to work effectively in a collaborative team environment 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 and 2 years of related work experience OR Bachelor's Degree and 6+ years of directly related work experience OR 10+ years of related relevant experience Knowledge or experience in the defense or avionics industry Mastery of multiple DevSecOps tools/technologies (AWS, Azure, Terraform, GitLab CI and Components, build systems, SonarQube, etc.) Knowledge of networking principles Knowledge of required levels of rigor for safety-critical software Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment 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. CodeVue Coding Challenge To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: 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: Associate Level: $99,450.00 - $134,550.00. Experienced: $126,650.00 - $171,350.00. Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 17, 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 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.
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
