Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
06/16/2026
Full time
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
06/16/2026
Full time
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
06/16/2026
Full time
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
06/16/2026
Full time
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
06/16/2026
Full time
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
06/16/2026
Full time
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
06/16/2026
Full time
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
06/16/2026
Full time
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
06/15/2026
Full time
Locations : London Boston Gurgaon Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will join our squad responsible for developing and supporting CMDB and Asset Management on the ServiceNow platform, as well as ensuring platform integrations, performance, and overall platform health. You will collaborate with teammates and stakeholders worldwide to deliver value to our users. Your work will involve analyzing, designing, scripting, configuring, and integrating a wide range of ServiceNow applications and plugins, helping us maximize the value of existing implementations. Additionally, you will deploy new functionality using tools such as IntegrationHub, Flow Designer, Performance Analytics, and other core ServiceNow capabilities. As a platform engineer, you will be part of a high-performing team of engineers, administrators, and architects. You will actively participate in Agile scrum ceremonies and collaborate closely with the product owner, scrum lead, and analysts to prioritize and deliver your work each sprint. In this role, you will have the opportunity to work with a high level of independence, bringing your expertise to deliver exceptional results. You'll be encouraged to identify opportunities for improvement, suggest innovative enhancements, and play an active role in shaping the platform's evolution to meet the needs of our dynamic and fast-paced environment. YOU'RE GOOD AT Delivering high-quality results with minimal supervision, demonstrating independence and reliability in your work Proactively identifying opportunities for improvement, suggesting creative and impactful solutions to enhance platform capabilities Creating clear and concise design and technical documentation to support robust implementation and long-term maintainability Demonstrating strong communication skills by delivering clear, well-structured demos and insightful data analysis Troubleshooting complex technical issues efficiently and effectively, with a focus on root cause analysis and sustainable fixes Building strong relationships across diverse teams and stakeholders, fostering collaboration to achieve shared goals Embracing Agile ways of working and adapting quickly to changing priorities and business needs What You'll Bring 6+ years of experience developing and maintaining ServiceNow solutions Strong experience with CMDB and IT Asset Management (models, lifecycle, hardware) Experience in platform performance, integrations, and overall platform reliability (experience with upgrades and maintenance is a plus) Proficiency in JavaScript and ServiceNow development, including server and client-side scripting, security, and debugging Experience with ServiceNow integrations using REST, GraphQL, IntegrationHub, security configuration, and third-party apps ServiceNow certifications are highly preferred Who You'll Work With You will join an existing Agile squad comprised of engineers, architects, analysts, a product owner, and scrum master. You will report to the ServiceNow Chapter Lead and will work closely with the product owner and scrum master to determine your work for each sprint. Additional info For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $134,000-$164,000. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Date Posted: 2026-05-07 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. Raytheon is seeking Hardware in the Loop (HWIL) Systems Integrator. The role requires experience troubleshooting and integrating various systems. The individual will need to be familiar with mapping requirements to measured results. This is an onsite role in Tucson, AZ. What You Will Do Work with various trades and designs for developmental programs within the Hardware-in-the-Loop (HWIL) organization. Perform in system integration activities within HWIL facilities to support system signal presentation. Participate in troubleshooting and failure investigation activities within HWIL facilities. Participate on HWIL engineering teams performing test system design, assembly and integration activities on developmental programs. Work in a team environment in HWIL facilities which support the full lifecycle of system development and sustainment activities. Operate HWIL test environments through various phases of program development. What You Will Learn System level knowledge of developmental programs within HWIL. Signal generation and presentation, across IF and RF test environments. Experience working across multi-disciplined group of engineers. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience. Integration experience with hardware, software and/or firmware including electrical design and reading schematic diagrams. Familiar with test equipment such as oscilloscopes, spectrum analyzers and signal generators. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Knowledge of or experience with equipment rack assembly, cable assembly/installation, electronics maintenance. Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
06/12/2026
Full time
Date Posted: 2026-05-07 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. Raytheon is seeking Hardware in the Loop (HWIL) Systems Integrator. The role requires experience troubleshooting and integrating various systems. The individual will need to be familiar with mapping requirements to measured results. This is an onsite role in Tucson, AZ. What You Will Do Work with various trades and designs for developmental programs within the Hardware-in-the-Loop (HWIL) organization. Perform in system integration activities within HWIL facilities to support system signal presentation. Participate in troubleshooting and failure investigation activities within HWIL facilities. Participate on HWIL engineering teams performing test system design, assembly and integration activities on developmental programs. Work in a team environment in HWIL facilities which support the full lifecycle of system development and sustainment activities. Operate HWIL test environments through various phases of program development. What You Will Learn System level knowledge of developmental programs within HWIL. Signal generation and presentation, across IF and RF test environments. Experience working across multi-disciplined group of engineers. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience. Integration experience with hardware, software and/or firmware including electrical design and reading schematic diagrams. Familiar with test equipment such as oscilloscopes, spectrum analyzers and signal generators. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Knowledge of or experience with equipment rack assembly, cable assembly/installation, electronics maintenance. Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-05-07 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. Raytheon is seeking Hardware in the Loop (HWIL) Senior Systems Integrator. The role requires experience troubleshooting and integrating various systems. The individual will need to be familiar with mapping requirements to measured results. This is an onsite role in Tucson, AZ. What You Will Do Work with various trades and designs for developmental programs within the Hardware-in-the-Loop (HWIL) organization. Perform in system integration activities within HWIL facilities to support system signal presentation. Participate in troubleshooting and failure investigation activities within HWIL facilities. Participate on HWIL engineering teams performing test system design, assembly and integration activities on developmental programs. Work in a team environment in HWIL facilities which support the full lifecycle of system development and sustainment activities. Operate HWIL test environments through various phases of program development. What You Will Learn System level knowledge of developmental programs within HWIL. Signal generation and presentation, across IF and RF test environments. Experience working across multi-disciplined group of engineers. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience. Integration experience with hardware, software and/or firmware including electrical design and reading schematic diagrams. Experience using test equipment such as oscilloscopes, spectrum analyzers and signal generators. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Knowledge of or experience with equipment rack assembly, cable assembly/installation, electronics maintenance. Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
06/11/2026
Full time
Date Posted: 2026-05-07 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. Raytheon is seeking Hardware in the Loop (HWIL) Senior Systems Integrator. The role requires experience troubleshooting and integrating various systems. The individual will need to be familiar with mapping requirements to measured results. This is an onsite role in Tucson, AZ. What You Will Do Work with various trades and designs for developmental programs within the Hardware-in-the-Loop (HWIL) organization. Perform in system integration activities within HWIL facilities to support system signal presentation. Participate in troubleshooting and failure investigation activities within HWIL facilities. Participate on HWIL engineering teams performing test system design, assembly and integration activities on developmental programs. Work in a team environment in HWIL facilities which support the full lifecycle of system development and sustainment activities. Operate HWIL test environments through various phases of program development. What You Will Learn System level knowledge of developmental programs within HWIL. Signal generation and presentation, across IF and RF test environments. Experience working across multi-disciplined group of engineers. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience. Integration experience with hardware, software and/or firmware including electrical design and reading schematic diagrams. Experience using test equipment such as oscilloscopes, spectrum analyzers and signal generators. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Knowledge of or experience with equipment rack assembly, cable assembly/installation, electronics maintenance. Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Position Title: Senior PeopleSoft Developer Position Type: Regular Job Number: SA68524 Full or Part Time: full-time 40 hours weekly Fair Labor Standard Act Classification: Exempt Anticipated Pay Range: $127,000 Pay Range Information: Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate's qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage. Job Description Summary: The role requires a solid working knowledge of PeopleSoft development tools and technologies, including (but not limited to) App Engine, Integration Broker, PeopleCode, Fluid UI development, and Web Services. Strong skills in system analysis, design, testing, and troubleshooting are also essential. This position will collaborate closely with functional analysts to ensure thorough system testing and comprehensive documentation of development work Responsibilities: Develop specialized technical solutions for modification or integration between university enterprise information systems within the Peoplesoft HCM pillar with expansion into the Campus Solutions and Finance modules. Work closely with business analysts in functional areas, determine feasibility of new request for enhancements, considering possible approaches taking into account the impact on upgrades and maintenance. Assist in the design and development of new processes, performing all aspects of technical testing, and assisting functional analysts in planning, user testing, training and documentation. Provide advanced troubleshooting for production issues in a timely manner. Assist with user training and documentation on all levels Required Qualifications: Five or more years of experience in successfully developing and modifying routine to complex PeopleSoft applications. Experience with supporting a PeopleSoft Human Resources/Payroll/Time and Labor 9.2 environment. Bachelor's degree in Management Information Systems, Computer Information Systems or related field or equivalent combination of education and experience. Strong knowledge of App Designer, App Engine, Integration Broker, SQL, Object-Oriented PeopleCode, BI Publisher, Component Interfaces, Event Mapping Framework and SQR Strong technical writing skills and non-technical project materials including timelines and status reports. Experience with Peoplesoft Fluid development and conversion from classic Understanding of cross-functional information technology projects with the ability to comprehend operational procedures across departments Strong analytical and problem solving skills Proven ability to evaluate data, assess alternatives and make decisions and/or recommendations as required. Knowledge of relational databases and related tools Proven ability to use Microsoft Office Suite and Operating systems Capable of working both independently and collaboratively within a team. Demonstrated effective written and oral communication skills Strong interpersonal skills with diverse group of individuals at all organizational levels. Ability to prioritize tasks when faced with interruptions, distractions, and fluctuating workload . Desired Qualifications: Working knowledge of university's processes and procedures that pertain to the duties of the position. General knowledge of system security, networking, computing software and hardware, and servers. Ability to create/support Peoplesoft Web Services. Special Instructions to Applicants: Chapman University is an equal opportunity employer that provides equal employment opportunities to all individuals, regardless of their protected characteristics. All qualified applicants and employees are encouraged to apply and will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law. Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis. The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate. Minimum Number of References: 2 Maximum Number of References: 2
01/14/2026
Full time
Position Title: Senior PeopleSoft Developer Position Type: Regular Job Number: SA68524 Full or Part Time: full-time 40 hours weekly Fair Labor Standard Act Classification: Exempt Anticipated Pay Range: $127,000 Pay Range Information: Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate's qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage. Job Description Summary: The role requires a solid working knowledge of PeopleSoft development tools and technologies, including (but not limited to) App Engine, Integration Broker, PeopleCode, Fluid UI development, and Web Services. Strong skills in system analysis, design, testing, and troubleshooting are also essential. This position will collaborate closely with functional analysts to ensure thorough system testing and comprehensive documentation of development work Responsibilities: Develop specialized technical solutions for modification or integration between university enterprise information systems within the Peoplesoft HCM pillar with expansion into the Campus Solutions and Finance modules. Work closely with business analysts in functional areas, determine feasibility of new request for enhancements, considering possible approaches taking into account the impact on upgrades and maintenance. Assist in the design and development of new processes, performing all aspects of technical testing, and assisting functional analysts in planning, user testing, training and documentation. Provide advanced troubleshooting for production issues in a timely manner. Assist with user training and documentation on all levels Required Qualifications: Five or more years of experience in successfully developing and modifying routine to complex PeopleSoft applications. Experience with supporting a PeopleSoft Human Resources/Payroll/Time and Labor 9.2 environment. Bachelor's degree in Management Information Systems, Computer Information Systems or related field or equivalent combination of education and experience. Strong knowledge of App Designer, App Engine, Integration Broker, SQL, Object-Oriented PeopleCode, BI Publisher, Component Interfaces, Event Mapping Framework and SQR Strong technical writing skills and non-technical project materials including timelines and status reports. Experience with Peoplesoft Fluid development and conversion from classic Understanding of cross-functional information technology projects with the ability to comprehend operational procedures across departments Strong analytical and problem solving skills Proven ability to evaluate data, assess alternatives and make decisions and/or recommendations as required. Knowledge of relational databases and related tools Proven ability to use Microsoft Office Suite and Operating systems Capable of working both independently and collaboratively within a team. Demonstrated effective written and oral communication skills Strong interpersonal skills with diverse group of individuals at all organizational levels. Ability to prioritize tasks when faced with interruptions, distractions, and fluctuating workload . Desired Qualifications: Working knowledge of university's processes and procedures that pertain to the duties of the position. General knowledge of system security, networking, computing software and hardware, and servers. Ability to create/support Peoplesoft Web Services. Special Instructions to Applicants: Chapman University is an equal opportunity employer that provides equal employment opportunities to all individuals, regardless of their protected characteristics. All qualified applicants and employees are encouraged to apply and will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law. Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis. The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate. Minimum Number of References: 2 Maximum Number of References: 2
Job ID: 705203BR Date posted: Jan. 06, 2026 Description: What We're Doing: Lockheed Martin, Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. Cyber Lockheed Martin Who we are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges? Do you find satisfaction in developing innovative solutions that leverage the power of technology to stay ahead of the curve? If so, join Lockheed Martin's team, where we're pioneering the modernization of technology and pushing the boundaries of what's possible. Our team is dedicated to pioneering the latest advancements and we're looking for someone who shares our commitment to excellence and innovation. Who You Are: Here, you are going to provide life-cycle services to advance mission in support of Cybersecurity and SIGINT midpoint collection. • You will modernize and sustain capabilities to include providing new features and enhancements to Front End Solutions systems. This will allow for products to work at-scale with processing of target communications across multiple types of Midpoint accesses. • You will propel the customer into the next phase of product suite modernization by leveraging advancements in technologies such as containerization, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities. The Work: We are proactively recruiting for a future need, with the expectation of a 2025 or early 2026 start date. This requisition is being used as a placeholder for your interest in one of these roles to bring a modernization mindset to current technology. As the roles open up over time, we will invite you to review the best matching one(s). We are seeking professionals interested in a variety of responsibilities including; • Software development • Software engineering • Systems engineering • Cyber researchers (Capabilities Analyst, etc) • System Security (ISSO / ISSE / ISSM) • Technical writer • Test Engineers • Network Engineers • User Experience Designer • Data Science • Systems Administrator (Linux) For a complete list that changes weekly, use this term to search via the Lockheed Martin jobs website: Come join a company with incredible breadth and depth in the nature of programs and technologies we support that will never leave you bored or looking for your next assignment. Stop having to look for a new job with every rumor and whim of contract changes. Why Join Us: Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. We support our employees, so they can support our mission. Plus, you may be eligible for up to a $25K sign on bonus as an external hire! Basic Qualifications: • Current DoD Top Secret SCI with Polygraph Seeking multiple levels of Software Engineers: SWE0: • A High School Diploma or GED plus four (4) years of general software engineering experience OR • Bachelor's degree in Computer Science or related discipline from an accredited college or university. SWE1: • A High School Diploma or GED plus eleven (11) years of general software engineering experience OR • A Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus seven (7) years of software engineering experience. SWE2: • A High School Diploma or GED plus eighteen (18) years of general software engineering experience OR • A Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus fourteen (14) years of software engineering experience. SWE3: • A High School Diploma or GED plus twenty-four (24) years of general software engineering experience OR • A Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus twenty (20) years of software engineering experience. Required Skills and Experience: • Analyze user requirements to derive software design and performance requirements • Debug existing software and correct defects • Provide recommendations for improving documentation and software development process standards • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Develop simple data queries for existing or proposed databases or data repositories • Write or review software and system documentation Desired Skills: • Familiar with RF algorithm development Standard Job Description : Designs, develops, documents, tests, and maintains full spectrum cyber solutions. Develops and automates secure systems to support cyber offensive, defense and full spectrum cyber operations. Conducts vulnerability research, reverse engineering, penetration testing (red/blue teams), develops and integrates low-level firmware, and/or develops specialized cyber software solutions and tools based on mission requirements. Applies system knowledge of subject matter (hardware, software, networks, cloud, etc.) to conduct research to evaluate potential vulnerabilities and develop new capabilities to exploit and/or mitigate vulnerabilities. USE OF THIS CLASSIFICATION REQUIRES AUTHORIZATION FROM THE BUSINESS AREA CYBER DIRECTOR OR DELEGATE Typical Minimums : Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 14 years or more of professional experience; or 12 years of professional experience with a related Masters degree. Considered an expert, authority in discipline. Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company . click apply for full job details
01/14/2026
Full time
Job ID: 705203BR Date posted: Jan. 06, 2026 Description: What We're Doing: Lockheed Martin, Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. Cyber Lockheed Martin Who we are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges? Do you find satisfaction in developing innovative solutions that leverage the power of technology to stay ahead of the curve? If so, join Lockheed Martin's team, where we're pioneering the modernization of technology and pushing the boundaries of what's possible. Our team is dedicated to pioneering the latest advancements and we're looking for someone who shares our commitment to excellence and innovation. Who You Are: Here, you are going to provide life-cycle services to advance mission in support of Cybersecurity and SIGINT midpoint collection. • You will modernize and sustain capabilities to include providing new features and enhancements to Front End Solutions systems. This will allow for products to work at-scale with processing of target communications across multiple types of Midpoint accesses. • You will propel the customer into the next phase of product suite modernization by leveraging advancements in technologies such as containerization, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities. The Work: We are proactively recruiting for a future need, with the expectation of a 2025 or early 2026 start date. This requisition is being used as a placeholder for your interest in one of these roles to bring a modernization mindset to current technology. As the roles open up over time, we will invite you to review the best matching one(s). We are seeking professionals interested in a variety of responsibilities including; • Software development • Software engineering • Systems engineering • Cyber researchers (Capabilities Analyst, etc) • System Security (ISSO / ISSE / ISSM) • Technical writer • Test Engineers • Network Engineers • User Experience Designer • Data Science • Systems Administrator (Linux) For a complete list that changes weekly, use this term to search via the Lockheed Martin jobs website: Come join a company with incredible breadth and depth in the nature of programs and technologies we support that will never leave you bored or looking for your next assignment. Stop having to look for a new job with every rumor and whim of contract changes. Why Join Us: Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. We support our employees, so they can support our mission. Plus, you may be eligible for up to a $25K sign on bonus as an external hire! Basic Qualifications: • Current DoD Top Secret SCI with Polygraph Seeking multiple levels of Software Engineers: SWE0: • A High School Diploma or GED plus four (4) years of general software engineering experience OR • Bachelor's degree in Computer Science or related discipline from an accredited college or university. SWE1: • A High School Diploma or GED plus eleven (11) years of general software engineering experience OR • A Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus seven (7) years of software engineering experience. SWE2: • A High School Diploma or GED plus eighteen (18) years of general software engineering experience OR • A Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus fourteen (14) years of software engineering experience. SWE3: • A High School Diploma or GED plus twenty-four (24) years of general software engineering experience OR • A Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus twenty (20) years of software engineering experience. Required Skills and Experience: • Analyze user requirements to derive software design and performance requirements • Debug existing software and correct defects • Provide recommendations for improving documentation and software development process standards • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Develop simple data queries for existing or proposed databases or data repositories • Write or review software and system documentation Desired Skills: • Familiar with RF algorithm development Standard Job Description : Designs, develops, documents, tests, and maintains full spectrum cyber solutions. Develops and automates secure systems to support cyber offensive, defense and full spectrum cyber operations. Conducts vulnerability research, reverse engineering, penetration testing (red/blue teams), develops and integrates low-level firmware, and/or develops specialized cyber software solutions and tools based on mission requirements. Applies system knowledge of subject matter (hardware, software, networks, cloud, etc.) to conduct research to evaluate potential vulnerabilities and develop new capabilities to exploit and/or mitigate vulnerabilities. USE OF THIS CLASSIFICATION REQUIRES AUTHORIZATION FROM THE BUSINESS AREA CYBER DIRECTOR OR DELEGATE Typical Minimums : Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 14 years or more of professional experience; or 12 years of professional experience with a related Masters degree. Considered an expert, authority in discipline. Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company . click apply for full job details
Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details
12/17/2025
Full time
Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
12/17/2025
Full time
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
12/17/2025
Full time
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
12/17/2025
Full time
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
12/17/2025
Full time
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
12/17/2025
Full time
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
12/17/2025
Full time
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 internal Audit team and partners across the company to build and deploy proprietary solutions 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. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
