This job is with Warner Bros. Discovery, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Welcome to Warner Bros. Discovery the stuff dreams are made of. Who We Are When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role As a Live Production CoE Manager at Warner Bros Discovery's News, Sports, and Entertainment Live Production centers in Atlanta, Georgia, you will be a key leader responsible for overseeing the convergence of information technology and broadcast engineering technology. Your primary focus will be on supporting the designated Center of Excellences and their respective Leads and team members, you will align technology with short and long-term business goals. You will participate in strategy development with clients and partners, leveraging cross-divisional engineering expertise to deliver comprehensive products and services that support company objectives. The Live Production Manager will manage their team: Develop, coordinate, and enforce systems, policies, and procedures standards. Analyze staff's performance and provide guidance to help them improve and advance in their careers. Building trust among colleagues. Skillful delegation of tasks and responsibilities. Representing the team's interests, objectives, and principles. Identifying, leading and/or participating in team building exercises Be open to change, embrace new technologies, and stay updated with industry trends The Live Production CoE Manager is a self-directed expert in designing, building, configuring, automating, maintaining, and providing advanced support for the movement and transformation of video in a 24x7x365 live news, sports, and entertainment production environment. The Live Production CoE Manager translates business requirements into functional requirements and specifications, producing systems that meet business needs through the assembly of existing hardware, new hardware, networking and software components, interfacing as needed with automation, monitoring and logging tools. They spare no detail in attention to availability, performance, capacity planning, and security. They frequently work with operational partners who specify the business needs, software developers, who focus on code authoring; systems architects, who focus on large scale system relationships; business analysists, who gather business requirements; and vendors, who create many of the products Lead Systems Engineers use. The CoE's are expected to produce novel solutions to problems, not merely to execute procedures developed by others and your role in managing them is vital to the success of the teams. Your Role Accountabilities This role is responsible for long range project planning, budgeting and execution. You will work closely with project managers, stakeholders, and project teammates to prioritize, schedule and deliver exceptional technical solutions, while providing expert guidance to meet challenging deadlines. As a hands-on leader, you will remove obstacles, assist with budgeting, and play a pivotal role as a technical designer, ensuring the team develops innovative solutions that align with project goals. Your strong leadership, communication, and problem-solving skills will be critical in fostering a culture of excellence, empowering team members' growth, and driving the successful execution of complex projects. Your role will involve providing enhanced oversight and guidance to the day-to-day operation of the relevant Warner Bros Discovery's Live Production Centers of Excellence, leading a team of skilled professionals to make informed technical decisions to deliver production requirements and protect our on-air brands. Constantly striving for excellence, you will evaluate the departmental workflow, identifying opportunities for process improvement and efficiency gains. Your leadership and technical expertise will be instrumental in maintaining the highest standards of technical performance. Evaluate and prioritize incidents in our ServiceNow ticketing system, communicating status updates to partners, serving as an escalation point during major incidents and outages, and planning training and reviewing documentation practices for our knowledge base to improve KPIs. Your expertise will play a vital role in maintaining system reliability and fostering a culture of continuous improvement and collaboration within the team. Evaluate and prioritize incidents in our ServiceNow ticketing system, communicating status updates to partners, serving as an escalation point during major incidents and outages, and planning training and reviewing documentation practices for our knowledge base to improve KPIs. Your expertise will play a vital role in maintaining system reliability and fostering a culture of continuous improvement and collaboration within the team. Responsible for managing key vendor relationships, serving as a liaison for escalations and collaborative product development. Your role involves fostering strong partnerships with vendors to shape our technical vision and direction as the business needs. You will proactively engage with vendors to address any issues or escalations, ensuring smooth communication and resolution of challenges. Additionally, you will work closely with vendors to drive product development initiatives, leveraging their expertise to align with our evolving technical goals. Your leadership and strategic guidance will be instrumental in enhancing our technical capabilities and maintaining fruitful collaborations with external partners Qualifications & Experiences A four-year engineering degree (or equivalent work experience in Live Broadcast engineering with 10+ years of experience in a Broadcast environment. Knowledge and troubleshooting skills in live broadcasting. Understanding of Postproduction technical workflows. Ability to convey complex information clearly and effectively and excels in both written and verbal communication. How We Get Things Done This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $105,280.00 - $195,520.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
09/22/2026
Full time
This job is with Warner Bros. Discovery, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Welcome to Warner Bros. Discovery the stuff dreams are made of. Who We Are When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role As a Live Production CoE Manager at Warner Bros Discovery's News, Sports, and Entertainment Live Production centers in Atlanta, Georgia, you will be a key leader responsible for overseeing the convergence of information technology and broadcast engineering technology. Your primary focus will be on supporting the designated Center of Excellences and their respective Leads and team members, you will align technology with short and long-term business goals. You will participate in strategy development with clients and partners, leveraging cross-divisional engineering expertise to deliver comprehensive products and services that support company objectives. The Live Production Manager will manage their team: Develop, coordinate, and enforce systems, policies, and procedures standards. Analyze staff's performance and provide guidance to help them improve and advance in their careers. Building trust among colleagues. Skillful delegation of tasks and responsibilities. Representing the team's interests, objectives, and principles. Identifying, leading and/or participating in team building exercises Be open to change, embrace new technologies, and stay updated with industry trends The Live Production CoE Manager is a self-directed expert in designing, building, configuring, automating, maintaining, and providing advanced support for the movement and transformation of video in a 24x7x365 live news, sports, and entertainment production environment. The Live Production CoE Manager translates business requirements into functional requirements and specifications, producing systems that meet business needs through the assembly of existing hardware, new hardware, networking and software components, interfacing as needed with automation, monitoring and logging tools. They spare no detail in attention to availability, performance, capacity planning, and security. They frequently work with operational partners who specify the business needs, software developers, who focus on code authoring; systems architects, who focus on large scale system relationships; business analysists, who gather business requirements; and vendors, who create many of the products Lead Systems Engineers use. The CoE's are expected to produce novel solutions to problems, not merely to execute procedures developed by others and your role in managing them is vital to the success of the teams. Your Role Accountabilities This role is responsible for long range project planning, budgeting and execution. You will work closely with project managers, stakeholders, and project teammates to prioritize, schedule and deliver exceptional technical solutions, while providing expert guidance to meet challenging deadlines. As a hands-on leader, you will remove obstacles, assist with budgeting, and play a pivotal role as a technical designer, ensuring the team develops innovative solutions that align with project goals. Your strong leadership, communication, and problem-solving skills will be critical in fostering a culture of excellence, empowering team members' growth, and driving the successful execution of complex projects. Your role will involve providing enhanced oversight and guidance to the day-to-day operation of the relevant Warner Bros Discovery's Live Production Centers of Excellence, leading a team of skilled professionals to make informed technical decisions to deliver production requirements and protect our on-air brands. Constantly striving for excellence, you will evaluate the departmental workflow, identifying opportunities for process improvement and efficiency gains. Your leadership and technical expertise will be instrumental in maintaining the highest standards of technical performance. Evaluate and prioritize incidents in our ServiceNow ticketing system, communicating status updates to partners, serving as an escalation point during major incidents and outages, and planning training and reviewing documentation practices for our knowledge base to improve KPIs. Your expertise will play a vital role in maintaining system reliability and fostering a culture of continuous improvement and collaboration within the team. Evaluate and prioritize incidents in our ServiceNow ticketing system, communicating status updates to partners, serving as an escalation point during major incidents and outages, and planning training and reviewing documentation practices for our knowledge base to improve KPIs. Your expertise will play a vital role in maintaining system reliability and fostering a culture of continuous improvement and collaboration within the team. Responsible for managing key vendor relationships, serving as a liaison for escalations and collaborative product development. Your role involves fostering strong partnerships with vendors to shape our technical vision and direction as the business needs. You will proactively engage with vendors to address any issues or escalations, ensuring smooth communication and resolution of challenges. Additionally, you will work closely with vendors to drive product development initiatives, leveraging their expertise to align with our evolving technical goals. Your leadership and strategic guidance will be instrumental in enhancing our technical capabilities and maintaining fruitful collaborations with external partners Qualifications & Experiences A four-year engineering degree (or equivalent work experience in Live Broadcast engineering with 10+ years of experience in a Broadcast environment. Knowledge and troubleshooting skills in live broadcasting. Understanding of Postproduction technical workflows. Ability to convey complex information clearly and effectively and excels in both written and verbal communication. How We Get Things Done This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $105,280.00 - $195,520.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
This job is with Jabil, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. JOB SUMMARY The purpose of the job is to design automation engineering projects in the area of assignment, e.g., mechanical, electrical, electronics, software application. The Automation Engineer III reviews and analyzes project requirements, specification, plan, design and installation. Position is responsible for design of automation equipment to ensure stipulated specification and requirements are met, and delivered within budget and on time. Position supports Lead Engineer of respective area in design of automation equipment. ESSENTIAL DUTIES AND RESPONSIBILITIES Designs automation equipment in respective areas of expertise, e.g., Mechanical, Electronics, Electrical, or Software Application. Works closely with Project Manager/Engineer to meet project time line and within budget. Reviews, understands and interprets requirements/specification accurately for integration into design of equipment. Ensures design for manufacturability. Acts as liaison with internal and/or external Assemblers/manufacturer of equipment to ensure all parts are manufactured to the design. Generates design drawings, installation manual, and user manual. Ensures all engineering times are logged into tracking system correspondent to the projects. May perform other duties and responsibilities as assigned. JOB QUALIFICATIONS KNOWLEDGE REQUIREMENTS Advanced knowledge of mechanical/electronics/electrical/software application engineering. Advanced knowledge of EMS industries. Advanced knowledge of automation equipment assembly and installation. EDUCATION & EXPERIENCE REQUIREMENTS B.Sc. in Mechanical or Electronics/Electrical Engineering. Minimum 5- 7 years experiences in automation equipment design and installation. Or an equivalent combination of education, training or experience. The pay range for this role is $79,400 - $142,900. Job-related, non-discriminatory factors used to determine the actual offered rate include qualifications and experience, geographic location, education, external market data, and consideration of internal equity. As part of the total rewards package, Jabil offers benefits to enhance your health, wealth, and resilient self. These include medical, dental, and vision insurance plans; paid time off; paid parental leave; company-paid holidays subject to change yearly; 401(k) retirement plan; and employee stock purchase plan. BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver's license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigations internet crime hotline (), the Federal Trade Commission identity theft hotline () and/or your local police department. Any scam job listings should be reported to whatever website it was posted in. Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law. Accessibility Accommodation If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to or calling with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail or phone number. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.
09/22/2026
Full time
This job is with Jabil, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. JOB SUMMARY The purpose of the job is to design automation engineering projects in the area of assignment, e.g., mechanical, electrical, electronics, software application. The Automation Engineer III reviews and analyzes project requirements, specification, plan, design and installation. Position is responsible for design of automation equipment to ensure stipulated specification and requirements are met, and delivered within budget and on time. Position supports Lead Engineer of respective area in design of automation equipment. ESSENTIAL DUTIES AND RESPONSIBILITIES Designs automation equipment in respective areas of expertise, e.g., Mechanical, Electronics, Electrical, or Software Application. Works closely with Project Manager/Engineer to meet project time line and within budget. Reviews, understands and interprets requirements/specification accurately for integration into design of equipment. Ensures design for manufacturability. Acts as liaison with internal and/or external Assemblers/manufacturer of equipment to ensure all parts are manufactured to the design. Generates design drawings, installation manual, and user manual. Ensures all engineering times are logged into tracking system correspondent to the projects. May perform other duties and responsibilities as assigned. JOB QUALIFICATIONS KNOWLEDGE REQUIREMENTS Advanced knowledge of mechanical/electronics/electrical/software application engineering. Advanced knowledge of EMS industries. Advanced knowledge of automation equipment assembly and installation. EDUCATION & EXPERIENCE REQUIREMENTS B.Sc. in Mechanical or Electronics/Electrical Engineering. Minimum 5- 7 years experiences in automation equipment design and installation. Or an equivalent combination of education, training or experience. The pay range for this role is $79,400 - $142,900. Job-related, non-discriminatory factors used to determine the actual offered rate include qualifications and experience, geographic location, education, external market data, and consideration of internal equity. As part of the total rewards package, Jabil offers benefits to enhance your health, wealth, and resilient self. These include medical, dental, and vision insurance plans; paid time off; paid parental leave; company-paid holidays subject to change yearly; 401(k) retirement plan; and employee stock purchase plan. BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver's license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigations internet crime hotline (), the Federal Trade Commission identity theft hotline () and/or your local police department. Any scam job listings should be reported to whatever website it was posted in. Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law. Accessibility Accommodation If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to or calling with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail or phone number. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.
Job DescriptionJob Description Security Clearance: Active TS/SCI with CI Polygraph required Position The National Reconnaissance Office (NRO) is the U.S. Government agency in charge of designing, building, launching, and maintaining America's intelligence satellites. Develop. Acquire. Launch. Operate. Apogee Integration is seeking a contracts specialist supporting the procurement and administration of IT, cloud, and telecommunications contracts. What You'll Do Reviews technical requirements, statements of work (SOWs), and vendor proposals, including technologies such as IP Address Management (IPAM), networking, cloud infrastructure, DNS/DHCP services, and cybersecurity solutions, to ensure contractual compliance and alignment with organizational requirements Required Qualifications Bachelor's degree in Business Administration, Contract Management, Supply Chain Management, Information Technology, or a related field (or equivalent experience). 3-7+ years of experience in federal, commercial, or DoD contracting, procurement, or acquisition. Experience supporting IT, telecommunications, cloud, or technology-related procurements. Knowledge of the federal acquisition process and applicable regulations (e.g., FAR/DFARS), if supporting government contracts. Experience preparing and reviewing solicitations, statements of work (SOWs), contract modifications, and purchase orders. Ability to evaluate vendor proposals, pricing, technical documentation, and contract compliance. Strong negotiation, communication, and analytical skills. Proficiency with Microsoft Office Suite, particularly Excel and Word. Preferred Qualifications Prior NRO experience Experience procuring enterprise networking, cloud, or cybersecurity solutions. Familiarity with networking concepts, including: IP Address Management (IPAM) DNS/DHCP TCP/IP Routers, switches, and firewalls Cloud networking (AWS, Azure, or Google Cloud) Experience with IT asset management or software licensing. Professional certification such as: NCMA Certified Professional Contracts Manager (CPCM) Certified Federal Contracts Manager (CFCM) Project Management Professional (PMP) (preferred) CompTIA Network+ (helpful but not typically required) Technical Knowledge (Not Hands-On) The candidate should have a working understanding of: Enterprise networking concepts IPAM solutions (e.g., Infoblox or BlueCat) Cloud infrastructure and telecommunications services Cybersecurity terminology and IT procurement best practices Pay Target Salary Range: $110,000 to $150,000. The salary range listed represents the anticipated compensation for this position. Actual compensation will be determined based on the selected candidate's experience, qualifications, skills, and other relevant factors What You'll Love About Apogee Challenging work in support of US Intel Community - a Mission that Matters! Access to our cool ApogeePlex facility. Support for new ideas & encouragement to take risks Professional Development Assistance (PDA) Wicked smart and collaborative coworkers Regular interfacing with company leadership 401(k) with huge company match Paid Time Off / Floating Holidays Medical, Dental, Vision Life Insurance Disability (Short and Long Term) Accidental Death and Dismemberment (AD&D) Health Savings Accounts / Dependent Care Flexible Spending Accounts Apogee's Mission Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation. Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth. Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success Apogee Integration is an EE Employer
09/22/2026
Full time
Job DescriptionJob Description Security Clearance: Active TS/SCI with CI Polygraph required Position The National Reconnaissance Office (NRO) is the U.S. Government agency in charge of designing, building, launching, and maintaining America's intelligence satellites. Develop. Acquire. Launch. Operate. Apogee Integration is seeking a contracts specialist supporting the procurement and administration of IT, cloud, and telecommunications contracts. What You'll Do Reviews technical requirements, statements of work (SOWs), and vendor proposals, including technologies such as IP Address Management (IPAM), networking, cloud infrastructure, DNS/DHCP services, and cybersecurity solutions, to ensure contractual compliance and alignment with organizational requirements Required Qualifications Bachelor's degree in Business Administration, Contract Management, Supply Chain Management, Information Technology, or a related field (or equivalent experience). 3-7+ years of experience in federal, commercial, or DoD contracting, procurement, or acquisition. Experience supporting IT, telecommunications, cloud, or technology-related procurements. Knowledge of the federal acquisition process and applicable regulations (e.g., FAR/DFARS), if supporting government contracts. Experience preparing and reviewing solicitations, statements of work (SOWs), contract modifications, and purchase orders. Ability to evaluate vendor proposals, pricing, technical documentation, and contract compliance. Strong negotiation, communication, and analytical skills. Proficiency with Microsoft Office Suite, particularly Excel and Word. Preferred Qualifications Prior NRO experience Experience procuring enterprise networking, cloud, or cybersecurity solutions. Familiarity with networking concepts, including: IP Address Management (IPAM) DNS/DHCP TCP/IP Routers, switches, and firewalls Cloud networking (AWS, Azure, or Google Cloud) Experience with IT asset management or software licensing. Professional certification such as: NCMA Certified Professional Contracts Manager (CPCM) Certified Federal Contracts Manager (CFCM) Project Management Professional (PMP) (preferred) CompTIA Network+ (helpful but not typically required) Technical Knowledge (Not Hands-On) The candidate should have a working understanding of: Enterprise networking concepts IPAM solutions (e.g., Infoblox or BlueCat) Cloud infrastructure and telecommunications services Cybersecurity terminology and IT procurement best practices Pay Target Salary Range: $110,000 to $150,000. The salary range listed represents the anticipated compensation for this position. Actual compensation will be determined based on the selected candidate's experience, qualifications, skills, and other relevant factors What You'll Love About Apogee Challenging work in support of US Intel Community - a Mission that Matters! Access to our cool ApogeePlex facility. Support for new ideas & encouragement to take risks Professional Development Assistance (PDA) Wicked smart and collaborative coworkers Regular interfacing with company leadership 401(k) with huge company match Paid Time Off / Floating Holidays Medical, Dental, Vision Life Insurance Disability (Short and Long Term) Accidental Death and Dismemberment (AD&D) Health Savings Accounts / Dependent Care Flexible Spending Accounts Apogee's Mission Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation. Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth. Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success Apogee Integration is an EE Employer
Job DescriptionJob Description Security Clearance: Active TS/SCI with CI Polygraph required Position The National Reconnaissance Office (NRO) is the U.S. Government agency in charge of designing, building, launching, and maintaining America's intelligence satellites. Develop. Acquire. Launch. Operate. Apogee Integration is seeking a contracts specialist supporting the procurement and administration of IT, cloud, and telecommunications contracts. What You'll Do Reviews technical requirements, statements of work (SOWs), and vendor proposals, including technologies such as IP Address Management (IPAM), networking, cloud infrastructure, DNS/DHCP services, and cybersecurity solutions, to ensure contractual compliance and alignment with organizational requirements Required Qualifications Bachelor's degree in Business Administration, Contract Management, Supply Chain Management, Information Technology, or a related field (or equivalent experience). 3-7+ years of experience in federal, commercial, or DoD contracting, procurement, or acquisition. Experience supporting IT, telecommunications, cloud, or technology-related procurements. Knowledge of the federal acquisition process and applicable regulations (e.g., FAR/DFARS), if supporting government contracts. Experience preparing and reviewing solicitations, statements of work (SOWs), contract modifications, and purchase orders. Ability to evaluate vendor proposals, pricing, technical documentation, and contract compliance. Strong negotiation, communication, and analytical skills. Proficiency with Microsoft Office Suite, particularly Excel and Word. Preferred Qualifications Prior NRO experience Experience procuring enterprise networking, cloud, or cybersecurity solutions. Familiarity with networking concepts, including: IP Address Management (IPAM) DNS/DHCP TCP/IP Routers, switches, and firewalls Cloud networking (AWS, Azure, or Google Cloud) Experience with IT asset management or software licensing. Professional certification such as: NCMA Certified Professional Contracts Manager (CPCM) Certified Federal Contracts Manager (CFCM) Project Management Professional (PMP) (preferred) CompTIA Network+ (helpful but not typically required) Technical Knowledge (Not Hands-On) The candidate should have a working understanding of: Enterprise networking concepts IPAM solutions (e.g., Infoblox or BlueCat) Cloud infrastructure and telecommunications services Cybersecurity terminology and IT procurement best practices Pay Target Salary Range: $110,000 to $150,000. The salary range listed represents the anticipated compensation for this position. Actual compensation will be determined based on the selected candidate's experience, qualifications, skills, and other relevant factors What You'll Love About Apogee Challenging work in support of US Intel Community - a Mission that Matters! Access to our cool ApogeePlex facility. Support for new ideas & encouragement to take risks Professional Development Assistance (PDA) Wicked smart and collaborative coworkers Regular interfacing with company leadership 401(k) with huge company match Paid Time Off / Floating Holidays Medical, Dental, Vision Life Insurance Disability (Short and Long Term) Accidental Death and Dismemberment (AD&D) Health Savings Accounts / Dependent Care Flexible Spending Accounts Apogee's Mission Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation. Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth. Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success Apogee Integration is an EE Employer
09/22/2026
Full time
Job DescriptionJob Description Security Clearance: Active TS/SCI with CI Polygraph required Position The National Reconnaissance Office (NRO) is the U.S. Government agency in charge of designing, building, launching, and maintaining America's intelligence satellites. Develop. Acquire. Launch. Operate. Apogee Integration is seeking a contracts specialist supporting the procurement and administration of IT, cloud, and telecommunications contracts. What You'll Do Reviews technical requirements, statements of work (SOWs), and vendor proposals, including technologies such as IP Address Management (IPAM), networking, cloud infrastructure, DNS/DHCP services, and cybersecurity solutions, to ensure contractual compliance and alignment with organizational requirements Required Qualifications Bachelor's degree in Business Administration, Contract Management, Supply Chain Management, Information Technology, or a related field (or equivalent experience). 3-7+ years of experience in federal, commercial, or DoD contracting, procurement, or acquisition. Experience supporting IT, telecommunications, cloud, or technology-related procurements. Knowledge of the federal acquisition process and applicable regulations (e.g., FAR/DFARS), if supporting government contracts. Experience preparing and reviewing solicitations, statements of work (SOWs), contract modifications, and purchase orders. Ability to evaluate vendor proposals, pricing, technical documentation, and contract compliance. Strong negotiation, communication, and analytical skills. Proficiency with Microsoft Office Suite, particularly Excel and Word. Preferred Qualifications Prior NRO experience Experience procuring enterprise networking, cloud, or cybersecurity solutions. Familiarity with networking concepts, including: IP Address Management (IPAM) DNS/DHCP TCP/IP Routers, switches, and firewalls Cloud networking (AWS, Azure, or Google Cloud) Experience with IT asset management or software licensing. Professional certification such as: NCMA Certified Professional Contracts Manager (CPCM) Certified Federal Contracts Manager (CFCM) Project Management Professional (PMP) (preferred) CompTIA Network+ (helpful but not typically required) Technical Knowledge (Not Hands-On) The candidate should have a working understanding of: Enterprise networking concepts IPAM solutions (e.g., Infoblox or BlueCat) Cloud infrastructure and telecommunications services Cybersecurity terminology and IT procurement best practices Pay Target Salary Range: $110,000 to $150,000. The salary range listed represents the anticipated compensation for this position. Actual compensation will be determined based on the selected candidate's experience, qualifications, skills, and other relevant factors What You'll Love About Apogee Challenging work in support of US Intel Community - a Mission that Matters! Access to our cool ApogeePlex facility. Support for new ideas & encouragement to take risks Professional Development Assistance (PDA) Wicked smart and collaborative coworkers Regular interfacing with company leadership 401(k) with huge company match Paid Time Off / Floating Holidays Medical, Dental, Vision Life Insurance Disability (Short and Long Term) Accidental Death and Dismemberment (AD&D) Health Savings Accounts / Dependent Care Flexible Spending Accounts Apogee's Mission Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation. Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth. Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success Apogee Integration is an EE Employer
Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical infrastructure, ensuring seamless operations that support millions of customers worldwide. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third-party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. This opportunity is located within the greater Lubbock area in Floydada, TX. Key job responsibilities Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. Perform root cause analysis of equipment failures and troubleshooting of facility within internal Service Level Agreements (SLA). Provide training and guidance to Engineering Operations Technicians and are responsible for working with Facility Manager (FM) to set team culture. Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams May assist in the building out of new facilities and assist in projects to increase current facility efficiency Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. Communicate complex technical information to a non-technical audience. Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency Ensure all safety procedures are adhered to by vendor and Amazon staff Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility of operations and maintenance. Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day-to-day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodation: Regularly lift and/or move up to 39 pounds independently Participate in group lifts for 40+ pounds Maintain balance and perform construction tasks while on a ladder Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position Work in an environment requiring provided ear protection Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 3+ years of electrical and mechanical facilities maintenance, or 3+ years of electrical facilities maintenance and 2+ years of mechanical facilities maintenance experience - Experience reading and writing procedures, technical documents, and engineering drawings - 3+ years of Microsoft Office products and applications experience PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Can work in an environment that involves walking, stooping, bending, and climbing to access equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Lubbock - 96 300.00 USD annually
09/22/2026
Full time
Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical infrastructure, ensuring seamless operations that support millions of customers worldwide. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third-party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. This opportunity is located within the greater Lubbock area in Floydada, TX. Key job responsibilities Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. Perform root cause analysis of equipment failures and troubleshooting of facility within internal Service Level Agreements (SLA). Provide training and guidance to Engineering Operations Technicians and are responsible for working with Facility Manager (FM) to set team culture. Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams May assist in the building out of new facilities and assist in projects to increase current facility efficiency Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. Communicate complex technical information to a non-technical audience. Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency Ensure all safety procedures are adhered to by vendor and Amazon staff Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility of operations and maintenance. Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day-to-day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodation: Regularly lift and/or move up to 39 pounds independently Participate in group lifts for 40+ pounds Maintain balance and perform construction tasks while on a ladder Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position Work in an environment requiring provided ear protection Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 3+ years of electrical and mechanical facilities maintenance, or 3+ years of electrical facilities maintenance and 2+ years of mechanical facilities maintenance experience - Experience reading and writing procedures, technical documents, and engineering drawings - 3+ years of Microsoft Office products and applications experience PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Can work in an environment that involves walking, stooping, bending, and climbing to access equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Lubbock - 96 300.00 USD annually
This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses. How would you like to be a part of Earth's most customer-centric company? You would work with teams of front-line responders who support the operations of some of the world's most powerful data centers. Our Data Center Engineering Operations team maintain and operate our critical infrastructure systems so that they are prepared to stand up against any situation. AWS has the world's largest cloud computing portfolio. As an Amazonian you will work in some of the most sophisticated, safe, and secure data centers in the world. Our Chief Engineers (CE) help keep them that way by working with the brightest minds from around the globe to help test and implement the newest technology and work practices to meet the demands of a changing market. We have a passion for learning and evolving, it's how we have helped define ourselves as leaders in the industry. Let's work hard, have fun, and make history! Key job responsibilities - Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Perform root cause analysis of equipment failures, and troubleshooting of facility within internal Service Level Agreements (SLA). - Provide training and guidance to Engineering Operations Technicians and responsible for working with Facility Manager (FM) to set team culture. - Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams - May assist in the build out of new facilities and assist in projects to increase current facility efficiency - Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. - Communicate complex technical information to a non-technical audience. - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Ensure all safety procedures are adhered to by vendor and Amazon staff - Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. - Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day to day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodations: - Regularly lift and/or move up to 39 pounds independently - Participate in group lifts for 40+ pounds - Maintain balance and perform construction tasks while on a ladder - Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position - Work in an environment requiring provided ear protection A day in the life This role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They maintain, operate, and troubleshoot mission-critical data center facility equipment including electrical support equipment that supports servers that must maintain better than 99.999% uptime. Equipment will include but is not limited to stand-by diesel generators and related fuel systems, 3 phase electrical systems such as switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAHU units, centrifugal chillers, cooling towers, water systems, air handlers and associated systems, pumps, and motors. Additional support equipment is included in the scope of the role which includes fire/life safety equipment, building automation systems, and general facilities equipment. The CE directs, trains and supports technicians in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. They manage projects from conception to completion. These projects involve independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of Microsoft Office products and applications experience - 3+ years of mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience including industrial electrical and mechanical systems - Experience with reading and writing procedures, technical documents, and engineering drawings PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Must be able to work in an environment that involves walking, stooping, bending, and climbing to access equipment. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NV, Sparks - 96 300.00 USD annually
09/22/2026
Full time
This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses. How would you like to be a part of Earth's most customer-centric company? You would work with teams of front-line responders who support the operations of some of the world's most powerful data centers. Our Data Center Engineering Operations team maintain and operate our critical infrastructure systems so that they are prepared to stand up against any situation. AWS has the world's largest cloud computing portfolio. As an Amazonian you will work in some of the most sophisticated, safe, and secure data centers in the world. Our Chief Engineers (CE) help keep them that way by working with the brightest minds from around the globe to help test and implement the newest technology and work practices to meet the demands of a changing market. We have a passion for learning and evolving, it's how we have helped define ourselves as leaders in the industry. Let's work hard, have fun, and make history! Key job responsibilities - Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Perform root cause analysis of equipment failures, and troubleshooting of facility within internal Service Level Agreements (SLA). - Provide training and guidance to Engineering Operations Technicians and responsible for working with Facility Manager (FM) to set team culture. - Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams - May assist in the build out of new facilities and assist in projects to increase current facility efficiency - Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. - Communicate complex technical information to a non-technical audience. - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Ensure all safety procedures are adhered to by vendor and Amazon staff - Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. - Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day to day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodations: - Regularly lift and/or move up to 39 pounds independently - Participate in group lifts for 40+ pounds - Maintain balance and perform construction tasks while on a ladder - Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position - Work in an environment requiring provided ear protection A day in the life This role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They maintain, operate, and troubleshoot mission-critical data center facility equipment including electrical support equipment that supports servers that must maintain better than 99.999% uptime. Equipment will include but is not limited to stand-by diesel generators and related fuel systems, 3 phase electrical systems such as switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAHU units, centrifugal chillers, cooling towers, water systems, air handlers and associated systems, pumps, and motors. Additional support equipment is included in the scope of the role which includes fire/life safety equipment, building automation systems, and general facilities equipment. The CE directs, trains and supports technicians in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. They manage projects from conception to completion. These projects involve independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of Microsoft Office products and applications experience - 3+ years of mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience including industrial electrical and mechanical systems - Experience with reading and writing procedures, technical documents, and engineering drawings PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Must be able to work in an environment that involves walking, stooping, bending, and climbing to access equipment. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NV, Sparks - 96 300.00 USD annually
Sr. Manager, AI Engineer (IFX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Sr. Manager, AI Engineer (IFX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, 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).
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 5 AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
09/22/2026
Full time
AI Engineer 5 AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
AI Engineer 5 AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
09/22/2026
Full time
AI Engineer 5 AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical infrastructure, ensuring seamless operations that support millions of customers worldwide. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third-party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. Key job responsibilities Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. Perform root cause analysis of equipment failures and troubleshooting of facility within internal Service Level Agreements (SLA). Provide training and guidance to Engineering Operations Technicians and are responsible for working with Facility Manager (FM) to set team culture. Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams May assist in the building out of new facilities and assist in projects to increase current facility efficiency Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. Communicate complex technical information to a non-technical audience. Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency Ensure all safety procedures are adhered to by vendor and Amazon staff Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility of operations and maintenance. Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day-to-day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodation: Regularly lift and/or move up to 39 pounds independently Participate in group lifts for 40+ pounds Maintain balance and perform construction tasks while on a ladder Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position Work in an environment requiring provided ear protection Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 3+ years of electrical and mechanical facilities maintenance, or 3+ years of electrical facilities maintenance and 2+ years of mechanical facilities maintenance experience - Experience reading and writing procedures, technical documents, and engineering drawings - 3+ years of Microsoft Office products and applications experience PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Can work in an environment that involves walking, stooping, bending, and climbing to access equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NV, SPARKS - 96 300.00 USD annually
09/22/2026
Full time
Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical infrastructure, ensuring seamless operations that support millions of customers worldwide. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third-party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. Key job responsibilities Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. Perform root cause analysis of equipment failures and troubleshooting of facility within internal Service Level Agreements (SLA). Provide training and guidance to Engineering Operations Technicians and are responsible for working with Facility Manager (FM) to set team culture. Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams May assist in the building out of new facilities and assist in projects to increase current facility efficiency Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. Communicate complex technical information to a non-technical audience. Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency Ensure all safety procedures are adhered to by vendor and Amazon staff Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility of operations and maintenance. Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day-to-day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodation: Regularly lift and/or move up to 39 pounds independently Participate in group lifts for 40+ pounds Maintain balance and perform construction tasks while on a ladder Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position Work in an environment requiring provided ear protection Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 3+ years of electrical and mechanical facilities maintenance, or 3+ years of electrical facilities maintenance and 2+ years of mechanical facilities maintenance experience - Experience reading and writing procedures, technical documents, and engineering drawings - 3+ years of Microsoft Office products and applications experience PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Can work in an environment that involves walking, stooping, bending, and climbing to access equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NV, SPARKS - 96 300.00 USD annually
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technician position involves in-depth hardware and network diagnostics followed by physical repair as well as participating in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities - Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, responding to operational incidents that impact service availability, and carrying out routine network, server hardware, and operating system repairs to contribute to the overall availability of AWS services - Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors - Performing on-call duties and participating in scheduled maintenance and change management activities - Contributing to documentation and process improvement initiatives based on your analysis of operational issues - Helping to interview, train and onboard new team members Physical Requirements: - Lifting and moving material up to 40 pounds each - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in an industrial environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). - This role supports data centers in various o perational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge while they: - Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution - Show a strong aptitude for troubleshooting and problem solving - Solve problems at their root and step back to understand the broader context - Maintain service level agreements through the implementation of proactive issue detection and reporting - Are biased to act in the absence of direction or support - Improve effectiveness through process innovation You will be required to work shift work that will include days/nights/weekends/holidays. BASIC QUALIFICATIONS - 2+ years of computer/server hardware troubleshooting experience, or experience related IT - 2+ years of computer layer 1/2 networking (including troubleshooting and repair) experience - Work flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and troubleshooting - Knowledge of Linux/Unix Administration - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - Experience in a data center or other critical environment - Experience training and onboarding of new team members Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Wink - 30.91 - 54.18 USD hourly
09/22/2026
Full time
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technician position involves in-depth hardware and network diagnostics followed by physical repair as well as participating in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities - Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, responding to operational incidents that impact service availability, and carrying out routine network, server hardware, and operating system repairs to contribute to the overall availability of AWS services - Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors - Performing on-call duties and participating in scheduled maintenance and change management activities - Contributing to documentation and process improvement initiatives based on your analysis of operational issues - Helping to interview, train and onboard new team members Physical Requirements: - Lifting and moving material up to 40 pounds each - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in an industrial environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). - This role supports data centers in various o perational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge while they: - Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution - Show a strong aptitude for troubleshooting and problem solving - Solve problems at their root and step back to understand the broader context - Maintain service level agreements through the implementation of proactive issue detection and reporting - Are biased to act in the absence of direction or support - Improve effectiveness through process innovation You will be required to work shift work that will include days/nights/weekends/holidays. BASIC QUALIFICATIONS - 2+ years of computer/server hardware troubleshooting experience, or experience related IT - 2+ years of computer layer 1/2 networking (including troubleshooting and repair) experience - Work flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and troubleshooting - Knowledge of Linux/Unix Administration - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - Experience in a data center or other critical environment - Experience training and onboarding of new team members Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Wink - 30.91 - 54.18 USD hourly
Amazon is looking for a detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves both planned preventative maintenance of equipment, daily corrective work, and emergency response to emergent issues. The CE serves as an expert technical resource reporting to a site's Data Center Facility Manager and interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support Amazon within its owned and operated data centers. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime. Also expected from the CE is the ability to manage small-to-medium impacting projects from conception to completion. These projects involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the CE to drive innovation and resiliency while reducing operational costs in the facilities. The CE directs, trains and supports EOT's in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPS's, PDU's, AHU's, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD's, and building automation systems. This technical leadership position brings a 24/7 presence to support the engineering operations technicians on site and to be available to respond to site specific needs This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. Key job responsibilities • Oversee the day-to-day operations and maintenance of mechanical and electrical equipment in a data center. • Operate independently with limited direct management • Act as an escalation point for all facilities-related issues within the data center, escalating to the Data Center Facility Manager as needed, and work OT hours as needed to support site stability. • Perform root cause analysis of equipment failures • Troubleshoot and report of facility and data sever-level events within internal SLA • Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams • Provide training and guidance to Engineering Operations Technicians • Ensure all safety procedures are adhered to by vendor and Amazon staff • Utilize internal CMMS to manage building workflows • Communicate complex technical information to a non-technical audience Physical Requirements: • Walk job sites in uneven terrain • Work at heights and from ladders • Regularly lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more • Coordinate body movements when using tools or equipment • Reach and stretch to position equipment and fixtures while maintaining balance • Bend or twist the body into unusual positions while working • Perform physical tasks all day without becoming overly tired • Use hands to manipulate small wires and objects • Push or pull heavy objects into position • Work in a noisy environment • Work at depths, such as under raised floors About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of vendor management experience - 4+ years of relevant work in a data center or other critical environment experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience with Microsoft Office including Outlook, Word, and Excel - Current, active TS/SCI US Government Security Clearance PREFERRED QUALIFICATIONS - 3+ years of construction or project management experience - Electrical or mechanical Journeyman License - operating engineering license such as DC II, DC III, or equivalent - Experience in construction or project management Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, Plain City - 96 300.00 USD annually
09/22/2026
Full time
Amazon is looking for a detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves both planned preventative maintenance of equipment, daily corrective work, and emergency response to emergent issues. The CE serves as an expert technical resource reporting to a site's Data Center Facility Manager and interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support Amazon within its owned and operated data centers. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime. Also expected from the CE is the ability to manage small-to-medium impacting projects from conception to completion. These projects involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the CE to drive innovation and resiliency while reducing operational costs in the facilities. The CE directs, trains and supports EOT's in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPS's, PDU's, AHU's, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD's, and building automation systems. This technical leadership position brings a 24/7 presence to support the engineering operations technicians on site and to be available to respond to site specific needs This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. Key job responsibilities • Oversee the day-to-day operations and maintenance of mechanical and electrical equipment in a data center. • Operate independently with limited direct management • Act as an escalation point for all facilities-related issues within the data center, escalating to the Data Center Facility Manager as needed, and work OT hours as needed to support site stability. • Perform root cause analysis of equipment failures • Troubleshoot and report of facility and data sever-level events within internal SLA • Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams • Provide training and guidance to Engineering Operations Technicians • Ensure all safety procedures are adhered to by vendor and Amazon staff • Utilize internal CMMS to manage building workflows • Communicate complex technical information to a non-technical audience Physical Requirements: • Walk job sites in uneven terrain • Work at heights and from ladders • Regularly lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more • Coordinate body movements when using tools or equipment • Reach and stretch to position equipment and fixtures while maintaining balance • Bend or twist the body into unusual positions while working • Perform physical tasks all day without becoming overly tired • Use hands to manipulate small wires and objects • Push or pull heavy objects into position • Work in a noisy environment • Work at depths, such as under raised floors About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of vendor management experience - 4+ years of relevant work in a data center or other critical environment experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience with Microsoft Office including Outlook, Word, and Excel - Current, active TS/SCI US Government Security Clearance PREFERRED QUALIFICATIONS - 3+ years of construction or project management experience - Electrical or mechanical Journeyman License - operating engineering license such as DC II, DC III, or equivalent - Experience in construction or project management Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, Plain City - 96 300.00 USD annually
Sr. Manager, AI Engineer (IFX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Sr. Manager, AI Engineer (IFX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, 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).
Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. This role will be physically based at our new MDD Pecos, TX site. Key job responsibilities • Moving and implementing large enterprise equipment • Installing Fiber and Copper cabling and patching cabling between equipment • Ensuring proper safety and security standards are maintained during cabling and rack installation, • Following well established hardware installation procedures and break-fix activities • Safely using material handling tools and equipment • Traveling within and outside of the regional work area is required. Physical Requirements: • All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 2+ years of data center, critical environment, computer hardware repair, infrastructure cabling, network deployment, or data center operations experience, or experience in similar technical roles - 2+ years of network cabling, fiber optics, and test equipment including VFL, power meter, and OTDR experience - Experience with network hardware: copper and optical fiber cabling, switches, routers PREFERRED QUALIFICATIONS - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - certification in a relevant field (CCENT - Cisco Certified Entry Networking Technician, Network+, or CCNA - Cisco Certified Network Associate) - Experience in a data center or other critical environment - Work flexible schedule including weekends, nights, and holidays - Experience conducting behavioral interviews and hiring Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Wink - 30.91 - 54.18 USD hourly
09/22/2026
Full time
Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. This role will be physically based at our new MDD Pecos, TX site. Key job responsibilities • Moving and implementing large enterprise equipment • Installing Fiber and Copper cabling and patching cabling between equipment • Ensuring proper safety and security standards are maintained during cabling and rack installation, • Following well established hardware installation procedures and break-fix activities • Safely using material handling tools and equipment • Traveling within and outside of the regional work area is required. Physical Requirements: • All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 2+ years of data center, critical environment, computer hardware repair, infrastructure cabling, network deployment, or data center operations experience, or experience in similar technical roles - 2+ years of network cabling, fiber optics, and test equipment including VFL, power meter, and OTDR experience - Experience with network hardware: copper and optical fiber cabling, switches, routers PREFERRED QUALIFICATIONS - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - certification in a relevant field (CCENT - Cisco Certified Entry Networking Technician, Network+, or CCNA - Cisco Certified Network Associate) - Experience in a data center or other critical environment - Work flexible schedule including weekends, nights, and holidays - Experience conducting behavioral interviews and hiring Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Wink - 30.91 - 54.18 USD hourly
Manage a team that maintains cloud infrastructure for global data center operations! AWS is looking for technology managers with experience in people management, strong technical understanding and the drive and vision to take AWS Data Center Operations to the next level. The successful candidate will have experience creating/devising strategies, mentoring people at all levels, sponsoring projects, and proposing technical solutions. This position involves leading teams in hardware and network diagnostics followed by physical repair and includes participation in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States) • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. Key job responsibilities The successful candidate will be operationally responsible for a Data Center. Some high-level responsibilities include: • Prioritize and assign trouble tickets to data center technicians and operators • Manage the performance of a diverse team(s) of data center operation professionals with varying skills across different locations • Developing Career Paths for the employees and making updates in our internal tools. • Recruit and train data technicians to ensure appropriate staffing levels • Ensure effective and efficient management of day-to-day data center operations including queue management, 7/24 shift arrangement and hardware logistics • Fast learn or act as the subject matter expert across all aspects in data center operations • Ensure all operational KPIs and metrics are being measured and met • Inspire and guide improvement in team process, technology innovation and automation • Manage Large Scale Events (outages) and act as the call leader • Manage and improve the workflows and through-put for data centers operations • Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs • Maintain the on-call schedule coordinating absence and vacations • Be passionate about the quality and quantity of services being provided, and continuously strive to improve our Customer Experience This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. BASIC QUALIFICATIONS - 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 2+ years of people management experience - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience PREFERRED QUALIFICATIONS - 2+ years of computer hardware experience, including troubleshooting and repairing experience - Experience in technical writing in a relevant field - Certification in an applicable field like A+, Net+, Sec+, CCNA, LPIC, Linux+, AWS certification, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Experience with system management tools and client/server environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Wink - 78 300.00 USD annually
09/22/2026
Full time
Manage a team that maintains cloud infrastructure for global data center operations! AWS is looking for technology managers with experience in people management, strong technical understanding and the drive and vision to take AWS Data Center Operations to the next level. The successful candidate will have experience creating/devising strategies, mentoring people at all levels, sponsoring projects, and proposing technical solutions. This position involves leading teams in hardware and network diagnostics followed by physical repair and includes participation in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States) • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. Key job responsibilities The successful candidate will be operationally responsible for a Data Center. Some high-level responsibilities include: • Prioritize and assign trouble tickets to data center technicians and operators • Manage the performance of a diverse team(s) of data center operation professionals with varying skills across different locations • Developing Career Paths for the employees and making updates in our internal tools. • Recruit and train data technicians to ensure appropriate staffing levels • Ensure effective and efficient management of day-to-day data center operations including queue management, 7/24 shift arrangement and hardware logistics • Fast learn or act as the subject matter expert across all aspects in data center operations • Ensure all operational KPIs and metrics are being measured and met • Inspire and guide improvement in team process, technology innovation and automation • Manage Large Scale Events (outages) and act as the call leader • Manage and improve the workflows and through-put for data centers operations • Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs • Maintain the on-call schedule coordinating absence and vacations • Be passionate about the quality and quantity of services being provided, and continuously strive to improve our Customer Experience This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. BASIC QUALIFICATIONS - 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 2+ years of people management experience - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience PREFERRED QUALIFICATIONS - 2+ years of computer hardware experience, including troubleshooting and repairing experience - Experience in technical writing in a relevant field - Certification in an applicable field like A+, Net+, Sec+, CCNA, LPIC, Linux+, AWS certification, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Experience with system management tools and client/server environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Wink - 78 300.00 USD annually
Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. This opportunity is located within the greater Lubbock area in Floydada, TX. Key job responsibilities • Moving and implementing large enterprise equipment • Installing Fiber and Copper cabling and patching cabling between equipment • Ensuring proper safety and security standards are maintained during cabling and rack installation, • Following well established hardware installation procedures and break-fix activities • Safely using material handling tools and equipment • Traveling within and outside of the regional work area is required. Physical Requirements: • All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 2+ years of data center, critical environment, computer hardware repair, infrastructure cabling, network deployment, or data center operations experience, or experience in similar technical roles - 2+ years of network cabling, fiber optics, and test equipment including VFL, power meter, and OTDR experience - Experience with network hardware: copper and optical fiber cabling, switches, routers PREFERRED QUALIFICATIONS - Experience conducting behavioral interviews and hiring - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - certification in a relevant field (CCENT - Cisco Certified Entry Networking Technician, Network+, or CCNA - Cisco Certified Network Associate) - Experience in a data center or other critical environment - Work flexible schedule including weekends, nights, and holidays Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Lubbock - 30.91 - 54.18 USD hourly
09/22/2026
Full time
Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. This opportunity is located within the greater Lubbock area in Floydada, TX. Key job responsibilities • Moving and implementing large enterprise equipment • Installing Fiber and Copper cabling and patching cabling between equipment • Ensuring proper safety and security standards are maintained during cabling and rack installation, • Following well established hardware installation procedures and break-fix activities • Safely using material handling tools and equipment • Traveling within and outside of the regional work area is required. Physical Requirements: • All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 2+ years of data center, critical environment, computer hardware repair, infrastructure cabling, network deployment, or data center operations experience, or experience in similar technical roles - 2+ years of network cabling, fiber optics, and test equipment including VFL, power meter, and OTDR experience - Experience with network hardware: copper and optical fiber cabling, switches, routers PREFERRED QUALIFICATIONS - Experience conducting behavioral interviews and hiring - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - certification in a relevant field (CCENT - Cisco Certified Entry Networking Technician, Network+, or CCNA - Cisco Certified Network Associate) - Experience in a data center or other critical environment - Work flexible schedule including weekends, nights, and holidays Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Lubbock - 30.91 - 54.18 USD hourly
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, 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).
Manage a team that maintains cloud infrastructure for global data center operations! AWS is looking for technology managers with experience in people management, strong technical understanding and the drive and vision to take AWS Data Center Operations to the next level. The successful candidate will have experience creating/devising strategies, mentoring people at all levels, sponsoring projects, and proposing technical solutions. This position involves leading teams in hardware and network diagnostics followed by physical repair and includes participation in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the Un Key job responsibilities The successful candidate will be operationally responsible for a Data Center. Some high-level responsibilities include: Prioritize and assign trouble tickets to data center technicians and operators Manage the performance of a diverse team(s) of data center operation professionals with varying skills across different locations Developing Career Paths for the employees and making updates in our internal tools. Recruit and train data technicians to ensure appropriate staffing levels Ensure effective and efficient management of day-to-day data center operations including queue management, 7/24 shift arrangement and hardware logistics Fast learn or act as the subject matter expert across all aspects in data center operations Ensure all operational KPIs and metrics are being measured and met Inspire and guide improvement in team process, technology innovation and automation Manage Large Scale Events (outages) and act as the call leader Manage and improve the workflows and through-put for data centers operations Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs Maintain the on-call schedule coordinating absence and vacations Be passionate about the quality and quantity of services being provided, and continuously strive to improve our Customer Experience This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 2+ years of people management experience - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience PREFERRED QUALIFICATIONS - 2+ years of computer hardware experience, including troubleshooting and repairing experience - Experience in technical writing in a relevant field - certification in an applicable field like A+, Net+, Sec+, CCNA, LPIC, Linux+, AWS certification, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Experience with system management tools and client/server environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OR, Boardman - 78 300.00 USD annually
09/22/2026
Full time
Manage a team that maintains cloud infrastructure for global data center operations! AWS is looking for technology managers with experience in people management, strong technical understanding and the drive and vision to take AWS Data Center Operations to the next level. The successful candidate will have experience creating/devising strategies, mentoring people at all levels, sponsoring projects, and proposing technical solutions. This position involves leading teams in hardware and network diagnostics followed by physical repair and includes participation in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the Un Key job responsibilities The successful candidate will be operationally responsible for a Data Center. Some high-level responsibilities include: Prioritize and assign trouble tickets to data center technicians and operators Manage the performance of a diverse team(s) of data center operation professionals with varying skills across different locations Developing Career Paths for the employees and making updates in our internal tools. Recruit and train data technicians to ensure appropriate staffing levels Ensure effective and efficient management of day-to-day data center operations including queue management, 7/24 shift arrangement and hardware logistics Fast learn or act as the subject matter expert across all aspects in data center operations Ensure all operational KPIs and metrics are being measured and met Inspire and guide improvement in team process, technology innovation and automation Manage Large Scale Events (outages) and act as the call leader Manage and improve the workflows and through-put for data centers operations Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs Maintain the on-call schedule coordinating absence and vacations Be passionate about the quality and quantity of services being provided, and continuously strive to improve our Customer Experience This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 2+ years of people management experience - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience PREFERRED QUALIFICATIONS - 2+ years of computer hardware experience, including troubleshooting and repairing experience - Experience in technical writing in a relevant field - certification in an applicable field like A+, Net+, Sec+, CCNA, LPIC, Linux+, AWS certification, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Experience with system management tools and client/server environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OR, Boardman - 78 300.00 USD annually
AI Engineer 4 (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
AI Engineer 4 (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).