Date Posted: 2026-07-23 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd MULTI PURPOSE FAC 928 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: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's 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. We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do Identifies all data deliverables made part of a contract Builds a data track in a Product Data Management (PDM) system Identifies, with help from the Program Office, the appropriate preparers, receives the data within PDM, and reviews the data for compliance Solicits and secures appropriate programmatic approval, and delivers the information to the customer on time, throughout the lifecycle of the contract. Reviews sub-tier contractor requirements, builds data tracks for supplier submissions, and receives data from various suppliers Approval routing, and/or incorporation, into prime contractor deliverables to the customer Secure non-deliverable program work products to be configuration controlled in the PDM system and other related tasking Qualifications You Must Have Bachelor's Degree or equivalent experience and minimum 5 years prior of relevant experience, or Advanced Degree in a related field and minimum 3 years of experience, or 9 years of experience in lieu of a degree 5 years of professional experience Experience with government standards and processes, such as described in EIA-649, Configuration Management Standard and GEIA-859, Data Management Experience with Microsoft Office skills (Word, PowerPoint, and Excel) Current and Active Top Secret Government Security Clearance Qualifications We Prefer Ability to interpret scheduling and milestone requirements Strong business acumen including planning, forecasting, analytical skills and ability to negotiate and influence Can work in a team-based environment consisting of organizational and outside customer contacts to meet project goals. Sense of urgency; ability to meet challenging deadlines, and attention to detail Strong skills in interpersonal communications, relationship building, and in collaborating on cross-functional teams comprised of diverse personalities and skill sets Experience with generating Data Management productivity metrics and reports Experience with estimating, proposing and managing Data Management cost and schedule on a program Experienced in Windchill or similar product data management (PDM) tools Earned Value Management System (EVMS) certification, with relevant experience Active DOD clearance 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. Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care. Relocation Eligible 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. 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
08/04/2026
Full time
Date Posted: 2026-07-23 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd MULTI PURPOSE FAC 928 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: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's 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. We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do Identifies all data deliverables made part of a contract Builds a data track in a Product Data Management (PDM) system Identifies, with help from the Program Office, the appropriate preparers, receives the data within PDM, and reviews the data for compliance Solicits and secures appropriate programmatic approval, and delivers the information to the customer on time, throughout the lifecycle of the contract. Reviews sub-tier contractor requirements, builds data tracks for supplier submissions, and receives data from various suppliers Approval routing, and/or incorporation, into prime contractor deliverables to the customer Secure non-deliverable program work products to be configuration controlled in the PDM system and other related tasking Qualifications You Must Have Bachelor's Degree or equivalent experience and minimum 5 years prior of relevant experience, or Advanced Degree in a related field and minimum 3 years of experience, or 9 years of experience in lieu of a degree 5 years of professional experience Experience with government standards and processes, such as described in EIA-649, Configuration Management Standard and GEIA-859, Data Management Experience with Microsoft Office skills (Word, PowerPoint, and Excel) Current and Active Top Secret Government Security Clearance Qualifications We Prefer Ability to interpret scheduling and milestone requirements Strong business acumen including planning, forecasting, analytical skills and ability to negotiate and influence Can work in a team-based environment consisting of organizational and outside customer contacts to meet project goals. Sense of urgency; ability to meet challenging deadlines, and attention to detail Strong skills in interpersonal communications, relationship building, and in collaborating on cross-functional teams comprised of diverse personalities and skill sets Experience with generating Data Management productivity metrics and reports Experience with estimating, proposing and managing Data Management cost and schedule on a program Experienced in Windchill or similar product data management (PDM) tools Earned Value Management System (EVMS) certification, with relevant experience Active DOD clearance 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. Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care. Relocation Eligible 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. 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
Date Posted: 2026-06-30 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We have an exciting opportunity for a Senior Systems Engineer - Product Owner supporting one of our premier programs within Raytheon, an RTX Business. In this role, you will work with a cross-disciplinary team of engineers to drive innovation and deliver industry-leading ground system solutions supporting critical customer missions. As the Product Owner, you will serve as the primary link between the Product Manager, Chief Engineer, and key stakeholders, owning the vision, strategy, and execution of a mission-critical ground software capability. Your technical expertise, leadership, and ability to drive execution in an Agile environment will be instrumental to the success of the program. What You Will Do Own and communicate the vision, strategy, and roadmap for a ground system component, ensuring alignment across program teams and stakeholders Collaborate with the Scrum Master and engineering teams to plan and execute Program Increments (PIs) within a SAFe Agile environment Translate customer needs, mission objectives, and operational concepts into actionable technical requirements, acceptance criteria, and system designs Manage and prioritize the team backlog, balancing feature development, technical debt, and program objectives Lead readiness reviews, design reviews, demonstrations, and technical presentations for customers and senior program leadership Develop and communicate technical documentation, implementation guidance, and product strategies across the organization Qualifications You Must Have Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and minimum of 5 years of prior relevant experience Experience serving as a Product Owner, Product Manager, Technical Lead, or similar leadership role within an Agile development environment Experience with satellite ground systems, mission operations, or systems engineering functions such as requirements management, interface definition, and technical risk management Experience using Agile development and collaboration tools such as Jira and Confluence, along with familiarity working in DevSecOps and CI/CD environments Active and transferable U.S. government-issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience leading multi-disciplinary engineering teams across systems, software, integration, and test disciplines Experience with automated testing and software factory tools such as Cucumber, Gherkin, and Zephyr Experience developing software in Java, C++, Python, or similar programming languages Experience working in a Satellite Ground System development or operations environment 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 eligible Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the U.S. Department of State website here: Location: Aurora, CO: 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
08/04/2026
Full time
Date Posted: 2026-06-30 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We have an exciting opportunity for a Senior Systems Engineer - Product Owner supporting one of our premier programs within Raytheon, an RTX Business. In this role, you will work with a cross-disciplinary team of engineers to drive innovation and deliver industry-leading ground system solutions supporting critical customer missions. As the Product Owner, you will serve as the primary link between the Product Manager, Chief Engineer, and key stakeholders, owning the vision, strategy, and execution of a mission-critical ground software capability. Your technical expertise, leadership, and ability to drive execution in an Agile environment will be instrumental to the success of the program. What You Will Do Own and communicate the vision, strategy, and roadmap for a ground system component, ensuring alignment across program teams and stakeholders Collaborate with the Scrum Master and engineering teams to plan and execute Program Increments (PIs) within a SAFe Agile environment Translate customer needs, mission objectives, and operational concepts into actionable technical requirements, acceptance criteria, and system designs Manage and prioritize the team backlog, balancing feature development, technical debt, and program objectives Lead readiness reviews, design reviews, demonstrations, and technical presentations for customers and senior program leadership Develop and communicate technical documentation, implementation guidance, and product strategies across the organization Qualifications You Must Have Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and minimum of 5 years of prior relevant experience Experience serving as a Product Owner, Product Manager, Technical Lead, or similar leadership role within an Agile development environment Experience with satellite ground systems, mission operations, or systems engineering functions such as requirements management, interface definition, and technical risk management Experience using Agile development and collaboration tools such as Jira and Confluence, along with familiarity working in DevSecOps and CI/CD environments Active and transferable U.S. government-issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience leading multi-disciplinary engineering teams across systems, software, integration, and test disciplines Experience with automated testing and software factory tools such as Cucumber, Gherkin, and Zephyr Experience developing software in Java, C++, Python, or similar programming languages Experience working in a Satellite Ground System development or operations environment 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 eligible Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the U.S. Department of State website here: Location: Aurora, CO: 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
Date Posted: 2026-07-29 Country: United States of America Location: US-MA-TEWKSBURY-TB4 836 North St INNOVATION BLDG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. 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: Active and existing security clearance required after day 1 At RTX, the world's 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. As a Logistics Systems Engineer II, you'll be an integral part of the Life Cycle Engineering (LCE) team interfacing directly with team members and stakeholders, including customers and program leaders. In this role, you're responsible for the development and maintenance of detailed Logistics Supportability Analysis, Provisioning data for parts, Spares Analysis and Spares Availability for hardware within a specific product line. You will work with limited supervision, applying advanced logistics principles and engineering judgment to independently develop, refine, and improve supportability and sustainment products. Life Cycle Engineering (LCE) is responsible for ensuring our products are safe, reliable, maintainable, and delivered on time. The organization is comprised of multiple disciplines that support engineering teams, program offices, and our customers. LCE disciplines are engaged throughout the entire product life cycle-from initial concept and design through deployment, sustainment, and eventual deactivation. What You Will Do Independently develop and maintain supportability analyses and provisioning data, ensuring accuracy and alignment with engineering and program requirements. Apply advanced logistics principles and analytical judgment to develop and enhance complex program-level concepts and plans with limited supervision. Collaborate with cross product teams, including Chief Engineers, Program Directors, Program Managers, and customers, influencing decisions using data-driven supportability insights. Lead or support spares analysis and spares availability modeling, identifying improvements to methods and data quality. Work autonomously within your work area, contributing to moderately complex projects, and setting objectives for your own tasks that support broader program goals. 10% or less Domestic and/or International Travel May Be Required. 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. Experience with one or more of the following: data analysis, data collection, logistics, Engineering Documentation, Configuration Management (CM), or Product Data Management (PDM). Qualifications We Prefer Experience with various areas of the Technical Data Package (drawings, parts lists, and electrical schematics) and experience generating/interpreting Parts List, system drawings and/or logistics plans. Spares Analysis and Spares List Development (Poisson Based Statistical Analysis, OPUS Suite, or similar analysis software experience) Experience in performing Level of Repairability Analysis (LORA) using COMPASS and/or OPUS. Experience in the development and maintenance of Logistics Management Information (LMI) in accordance with MIL-STD-1388-2B, GEIA-STD-0007, or MIL-PRF-49506 Experience utilizing EAGLE, POWERLOG or SLICWave tools 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 assistance is available! 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. 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
08/04/2026
Full time
Date Posted: 2026-07-29 Country: United States of America Location: US-MA-TEWKSBURY-TB4 836 North St INNOVATION BLDG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. 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: Active and existing security clearance required after day 1 At RTX, the world's 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. As a Logistics Systems Engineer II, you'll be an integral part of the Life Cycle Engineering (LCE) team interfacing directly with team members and stakeholders, including customers and program leaders. In this role, you're responsible for the development and maintenance of detailed Logistics Supportability Analysis, Provisioning data for parts, Spares Analysis and Spares Availability for hardware within a specific product line. You will work with limited supervision, applying advanced logistics principles and engineering judgment to independently develop, refine, and improve supportability and sustainment products. Life Cycle Engineering (LCE) is responsible for ensuring our products are safe, reliable, maintainable, and delivered on time. The organization is comprised of multiple disciplines that support engineering teams, program offices, and our customers. LCE disciplines are engaged throughout the entire product life cycle-from initial concept and design through deployment, sustainment, and eventual deactivation. What You Will Do Independently develop and maintain supportability analyses and provisioning data, ensuring accuracy and alignment with engineering and program requirements. Apply advanced logistics principles and analytical judgment to develop and enhance complex program-level concepts and plans with limited supervision. Collaborate with cross product teams, including Chief Engineers, Program Directors, Program Managers, and customers, influencing decisions using data-driven supportability insights. Lead or support spares analysis and spares availability modeling, identifying improvements to methods and data quality. Work autonomously within your work area, contributing to moderately complex projects, and setting objectives for your own tasks that support broader program goals. 10% or less Domestic and/or International Travel May Be Required. 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. Experience with one or more of the following: data analysis, data collection, logistics, Engineering Documentation, Configuration Management (CM), or Product Data Management (PDM). Qualifications We Prefer Experience with various areas of the Technical Data Package (drawings, parts lists, and electrical schematics) and experience generating/interpreting Parts List, system drawings and/or logistics plans. Spares Analysis and Spares List Development (Poisson Based Statistical Analysis, OPUS Suite, or similar analysis software experience) Experience in performing Level of Repairability Analysis (LORA) using COMPASS and/or OPUS. Experience in the development and maintenance of Logistics Management Information (LMI) in accordance with MIL-STD-1388-2B, GEIA-STD-0007, or MIL-PRF-49506 Experience utilizing EAGLE, POWERLOG or SLICWave tools 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 assistance is available! 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. 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: 2026-07-30 Country: United States of America Location: US-MA-TEWKSBURY-TB2 50 Apple Hill Dr SUDBURY BLDG, Tewksbury Tb2 200 Sudbury Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. 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: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), system performance, System Security Engineering (SSE), integration and system level testing, identifying and resolving hardware, software, and networking issues, and developing automated or operator-driven tests in support of system-level integration, verification and validation. Within SE&TC, Life Cycle Engineering (LCE) is responsible for ensuring our products are Safe, Reliable, Maintainable and delivered on time. Life Cycle Engineering consists of multiple disciplines that support engineering, our program offices and our customers. Our Life Cycle Engineering disciplines participate in the total life cycle of our products from conception to deactivation. Our focus area is product support, including the following disciplines: Logistics, Technical Manuals, Training, Reliability, Maintainability, Supportability and Repair. What You Will Do : As a Sustainment Data Analyst, you'll be assigned to one or more LTAMDS or IRAD programs and will be responsible for providing innovative and trusted solutions that optimize the efficiency and effectiveness of the Land and Air Defense products and services over their life cycle. You'll accomplish this mission by leveraging existing and new capabilities being developed within sustainment and by working with the following entities: Systems, Software and Hardware design organizations Engineering Cross Product Teams (CPTs) LTAMDS Integrated Product Teams (IPTs) Chief Engineers, Program Directors and Program Managers National and International Customers Domestic and International Travel May Be Required This position will be based in Tewksbury, MA. What You Will Do: Responsibilities include the following: Manage highly agile teams (5-10 employees) Develop Long-Term Roadmaps for technology development Support of Open source and FOSS integration with D4 data pipeline Development capabilities in alignment with modern programming languages Support and manage projects ranging from Small to Large scale investment Balance project budget up to 750K+ in cost Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 8 years of prior engineering experience or equivalent experience. Experience of Agile development Product lead Experience Qualifications We Prefer: Experience using program management tools such as Earned Value Management System (EVMS) or similar tools Ability to lead, along with peers, the development of long-range plans to capitalize on future opportunities Ability to overcome obstacles and negotiate change Demonstrated comprehensive planning skills with the ability to analyze technical and financial data and reports Exceptional judgment and decision-making A candidate who demonstrates initiative, quickly learns processes, and is capable of independently managing tasks and driving them to completion 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. 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. 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 107,500 USD - 204,500 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
08/04/2026
Full time
Date Posted: 2026-07-30 Country: United States of America Location: US-MA-TEWKSBURY-TB2 50 Apple Hill Dr SUDBURY BLDG, Tewksbury Tb2 200 Sudbury Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. 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: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), system performance, System Security Engineering (SSE), integration and system level testing, identifying and resolving hardware, software, and networking issues, and developing automated or operator-driven tests in support of system-level integration, verification and validation. Within SE&TC, Life Cycle Engineering (LCE) is responsible for ensuring our products are Safe, Reliable, Maintainable and delivered on time. Life Cycle Engineering consists of multiple disciplines that support engineering, our program offices and our customers. Our Life Cycle Engineering disciplines participate in the total life cycle of our products from conception to deactivation. Our focus area is product support, including the following disciplines: Logistics, Technical Manuals, Training, Reliability, Maintainability, Supportability and Repair. What You Will Do : As a Sustainment Data Analyst, you'll be assigned to one or more LTAMDS or IRAD programs and will be responsible for providing innovative and trusted solutions that optimize the efficiency and effectiveness of the Land and Air Defense products and services over their life cycle. You'll accomplish this mission by leveraging existing and new capabilities being developed within sustainment and by working with the following entities: Systems, Software and Hardware design organizations Engineering Cross Product Teams (CPTs) LTAMDS Integrated Product Teams (IPTs) Chief Engineers, Program Directors and Program Managers National and International Customers Domestic and International Travel May Be Required This position will be based in Tewksbury, MA. What You Will Do: Responsibilities include the following: Manage highly agile teams (5-10 employees) Develop Long-Term Roadmaps for technology development Support of Open source and FOSS integration with D4 data pipeline Development capabilities in alignment with modern programming languages Support and manage projects ranging from Small to Large scale investment Balance project budget up to 750K+ in cost Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 8 years of prior engineering experience or equivalent experience. Experience of Agile development Product lead Experience Qualifications We Prefer: Experience using program management tools such as Earned Value Management System (EVMS) or similar tools Ability to lead, along with peers, the development of long-range plans to capitalize on future opportunities Ability to overcome obstacles and negotiate change Demonstrated comprehensive planning skills with the ability to analyze technical and financial data and reports Exceptional judgment and decision-making A candidate who demonstrates initiative, quickly learns processes, and is capable of independently managing tasks and driving them to completion 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. 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. 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 107,500 USD - 204,500 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: 2026-07-28 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) 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 Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. This position is 100% on site in Tucson, AZ What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of relevant prior experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) Typically requires two (2) years' experience managing Test Equipment on a DoD compliant information systems, leading efforts as a program manager, and/or project team lead The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge in common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles 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. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location 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 132,400 USD - 251,600 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
08/04/2026
Full time
Date Posted: 2026-07-28 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) 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 Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. This position is 100% on site in Tucson, AZ What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of relevant prior experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) Typically requires two (2) years' experience managing Test Equipment on a DoD compliant information systems, leading efforts as a program manager, and/or project team lead The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge in common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles 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. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location 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 132,400 USD - 251,600 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
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Lead Machine Learning Engineer (Finance Tech - AI Enablement) 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. What You'll Do: In this role at Finance Tech, you will be playing a lead role as part of Finance Tech horizontal AI enablement teams in developing/deploying best practices and end user facing AI usecases for Finance LOB. The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: 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, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 7+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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 . click apply for full job details
08/04/2026
Full time
Lead Machine Learning Engineer (Finance Tech - AI Enablement) 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. What You'll Do: In this role at Finance Tech, you will be playing a lead role as part of Finance Tech horizontal AI enablement teams in developing/deploying best practices and end user facing AI usecases for Finance LOB. The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: 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, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 7+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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 . click apply for full job details
Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/04/2026
Full time
Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
We're seeking a Electrical & Automation Engineer who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title: Electrical & Automation Engineer Req ID: 16662 HR Contact: Grace A CHIODO Location: Joppa Cement Plant IL ABOUT THE ROLE The Electrical and Automation Engineer is responsible for plant process control system PCS monitoring, application programming, testing, commissioning, and maintenance. Perform and coordinate electrical design and development of new equipment and the modification of existing electrical equipment consistent with plant standards and for the improvement of plant performance including rate, availability, OEE, and MTBF. Other responsibilities include facilitating the use of the PCS as a resource for the Process, Maintenance, Production, Shipping, Environmental, and Quality Departments. Relocation assistance provided for candidates outside this area. WHAT YOU'LL ACCOMPLISH Prevent downtime due to faults; continuous improvement to Electrical and Automation systems to both extend the life of existing equipment and facilitate eventual replacement. Support installation of new plant equipment from conception to operation. Assure integration of new systems into plant operations. Work closely with Electrical Supervisor, Process Engineers to analyze, improve and document all aspects of operations. Provide technical expertise in the field of electrical, power distribution, motors and transformers, arc flash study, electrical tests, electrical code, instrumentation, drives, PLC and troubleshooting. Responsible for integration, maintenance, and application of Electrical systems, as well as the incorporation of equipment areas previously outside PCS scope, conversion of relay logic systems, and replacement or integration of PLCs. Identify improvement opportunities to maximize equipment life cycle and efficiency. Demonstrate a commitment to communicating, improving and adhering to health, safety and environmental policies in all work environments and areas. Promote a culture of safety and exhibit these behaviors. WHAT WE'RE LOOKING FOR Education: Bachelor's degree Field of Study Preferred: Electrical Engineering Required Work Experience: Minimum 1 - 3 Years of Electrical Engineer experience in the cement or similar industrial facility Required Technical Skills: Working knowledge of PLC programming and process control systems is preferred (ABB 800xA, Siemens S7). Experience in instrumentation, motors, starters and VFD's, communication networks (Modbus, Profinet, Ethernet). SAP, Autocad, Microsoft Office (Word, Excel, PowerPoint etc.) Travel Requirements: 10% for training, development and potential projects Additional Requirements: Extensive knowledge of high and low voltage power distribution systems, weighing and batching systems, PLC control and machinery interlocking systems, variable speed drives and motor control systems. Used to developing and working within revenue and capital budgets Able to make decisions on electrical safety matters Excellent communication skills Must be able to work in a team environment High initiative, self-starter Strong planning and organizing abilities Successful candidates must adhere to all safety protocols and proper use of Amrize approved Personal Protection Equipment ("PPE"), including but not limited to respirators. Employees that are required to wear respirators must be clean shaven where the respirator seal meets the face in order to pass the qualitative and quantitative fit tests. WHAT WE OFFER This role is eligible for a $10,000 sign on bonus Competitive salary Retirement Savings: Choose from 401(k) pre-tax and/or Roth after-tax savings Employee Stock Purchase Plan Medical, Dental, Disability and Life Insurance Holistic Health & Well-being programs Health Savings Accounts (HSAs) & Flexible Spending Accounts (FSAs) for health and dependent care Vision and other Voluntary benefits and discounts Paid time off & paid holidays Paid Parental Leave (maternity & paternity) Educational Assistance Program Dress for your day Amrize is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We thank all applicants for their interest; however, only those selected for an interview will be contacted. BUILDING INCLUSIVE WORKSPACES At Amrize, there is endless opportunity for you to play your part. Whether you're in a technical, managerial, or frontline role, you can shape a career that works for you. We're seeking builders, creative thinkers and innovators. Come put your expertise to work while developing the knowledge and skills to drive your career forward. With us you'll have the chance to build your ambition! Amrize North America Inc. takes pride in our hiring processes and our commitment that all qualified applicants will receive consideration for employment without regard to age, race, color, ethnicity, religion, creed, national origin, ancestry, gender, gender identity, gender expression, sex, sexual orientation, marital status, pregnancy, parental status, genetic information, citizenship, physical or mental disability, past, current, or prospective service in the uniformed services, or any other characteristic protected by applicable federal, state or local law. Amrize North America Inc, and its respective subsidiaries are Equal Opportunity Employers, deciding all employment on the basis of qualification, merit and business need. Amrize Canada Inc. is committed to the principles of employment equity and encourages the applications from women, visible minorities, and persons with disabilities. Amrize North America Inc. participates in E-Verify and will provide the federal government with your I-9 information to confirm that you are authorized to work in the United States. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request accommodation in order to apply for a position with us, please email . This email address should only be used for accommodations and not general inquiries or resume submittals. In Ontario, our organization/business is committed to fulfilling our requirements under the Accessibility for Ontarians with Disabilities Act. Under the Act, accommodations are available on request for candidates taking part in all aspects of the selection process. While we sincerely appreciate all applications, only candidates selected for an interview will be contacted. PROTECT YOURSELF FROM RECRUITMENT FRAUD The only way to apply for a position at Amrize is through our official Careers website. Be cautious of unsolicited offers or requests for information from other sources. Learn how to protect yourself from recruitment fraud here: Fraudulent Job Offers Policy
08/04/2026
Full time
We're seeking a Electrical & Automation Engineer who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title: Electrical & Automation Engineer Req ID: 16662 HR Contact: Grace A CHIODO Location: Joppa Cement Plant IL ABOUT THE ROLE The Electrical and Automation Engineer is responsible for plant process control system PCS monitoring, application programming, testing, commissioning, and maintenance. Perform and coordinate electrical design and development of new equipment and the modification of existing electrical equipment consistent with plant standards and for the improvement of plant performance including rate, availability, OEE, and MTBF. Other responsibilities include facilitating the use of the PCS as a resource for the Process, Maintenance, Production, Shipping, Environmental, and Quality Departments. Relocation assistance provided for candidates outside this area. WHAT YOU'LL ACCOMPLISH Prevent downtime due to faults; continuous improvement to Electrical and Automation systems to both extend the life of existing equipment and facilitate eventual replacement. Support installation of new plant equipment from conception to operation. Assure integration of new systems into plant operations. Work closely with Electrical Supervisor, Process Engineers to analyze, improve and document all aspects of operations. Provide technical expertise in the field of electrical, power distribution, motors and transformers, arc flash study, electrical tests, electrical code, instrumentation, drives, PLC and troubleshooting. Responsible for integration, maintenance, and application of Electrical systems, as well as the incorporation of equipment areas previously outside PCS scope, conversion of relay logic systems, and replacement or integration of PLCs. Identify improvement opportunities to maximize equipment life cycle and efficiency. Demonstrate a commitment to communicating, improving and adhering to health, safety and environmental policies in all work environments and areas. Promote a culture of safety and exhibit these behaviors. WHAT WE'RE LOOKING FOR Education: Bachelor's degree Field of Study Preferred: Electrical Engineering Required Work Experience: Minimum 1 - 3 Years of Electrical Engineer experience in the cement or similar industrial facility Required Technical Skills: Working knowledge of PLC programming and process control systems is preferred (ABB 800xA, Siemens S7). Experience in instrumentation, motors, starters and VFD's, communication networks (Modbus, Profinet, Ethernet). SAP, Autocad, Microsoft Office (Word, Excel, PowerPoint etc.) Travel Requirements: 10% for training, development and potential projects Additional Requirements: Extensive knowledge of high and low voltage power distribution systems, weighing and batching systems, PLC control and machinery interlocking systems, variable speed drives and motor control systems. Used to developing and working within revenue and capital budgets Able to make decisions on electrical safety matters Excellent communication skills Must be able to work in a team environment High initiative, self-starter Strong planning and organizing abilities Successful candidates must adhere to all safety protocols and proper use of Amrize approved Personal Protection Equipment ("PPE"), including but not limited to respirators. Employees that are required to wear respirators must be clean shaven where the respirator seal meets the face in order to pass the qualitative and quantitative fit tests. WHAT WE OFFER This role is eligible for a $10,000 sign on bonus Competitive salary Retirement Savings: Choose from 401(k) pre-tax and/or Roth after-tax savings Employee Stock Purchase Plan Medical, Dental, Disability and Life Insurance Holistic Health & Well-being programs Health Savings Accounts (HSAs) & Flexible Spending Accounts (FSAs) for health and dependent care Vision and other Voluntary benefits and discounts Paid time off & paid holidays Paid Parental Leave (maternity & paternity) Educational Assistance Program Dress for your day Amrize is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We thank all applicants for their interest; however, only those selected for an interview will be contacted. BUILDING INCLUSIVE WORKSPACES At Amrize, there is endless opportunity for you to play your part. Whether you're in a technical, managerial, or frontline role, you can shape a career that works for you. We're seeking builders, creative thinkers and innovators. Come put your expertise to work while developing the knowledge and skills to drive your career forward. With us you'll have the chance to build your ambition! Amrize North America Inc. takes pride in our hiring processes and our commitment that all qualified applicants will receive consideration for employment without regard to age, race, color, ethnicity, religion, creed, national origin, ancestry, gender, gender identity, gender expression, sex, sexual orientation, marital status, pregnancy, parental status, genetic information, citizenship, physical or mental disability, past, current, or prospective service in the uniformed services, or any other characteristic protected by applicable federal, state or local law. Amrize North America Inc, and its respective subsidiaries are Equal Opportunity Employers, deciding all employment on the basis of qualification, merit and business need. Amrize Canada Inc. is committed to the principles of employment equity and encourages the applications from women, visible minorities, and persons with disabilities. Amrize North America Inc. participates in E-Verify and will provide the federal government with your I-9 information to confirm that you are authorized to work in the United States. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request accommodation in order to apply for a position with us, please email . This email address should only be used for accommodations and not general inquiries or resume submittals. In Ontario, our organization/business is committed to fulfilling our requirements under the Accessibility for Ontarians with Disabilities Act. Under the Act, accommodations are available on request for candidates taking part in all aspects of the selection process. While we sincerely appreciate all applications, only candidates selected for an interview will be contacted. PROTECT YOURSELF FROM RECRUITMENT FRAUD The only way to apply for a position at Amrize is through our official Careers website. Be cautious of unsolicited offers or requests for information from other sources. Learn how to protect yourself from recruitment fraud here: Fraudulent Job Offers Policy
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
08/04/2026
Full time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
08/04/2026
Full time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
Job Description AI Engineer Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The Opportunity MassMutual's AI & Data Science team is seeking a skilled AI Engineer to join our high-performing, cross-functional team. In this role, you will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them into production. At this level, you are expected to take full ownership of defined initiatives with minimal supervision, driving quality and performance from development through deployment. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs, deep learning, agentic AI, and probabilistic modeling, with ownership of quality and performance from development through deployment. Frame and scope AI problems independently, defining success metrics and evaluation criteria in collaboration with stakeholders before and during solution development. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across models, and quantitative analysis, to validate approaches and support sound technical decisions. Build rapid prototypes to test AI approaches and advance validated solutions into production-grade applications (e.g., intelligent interfaces, dashboards, automated pipelines). Apply best practices in AI development, responsible AI deployment, and production engineering, contributing to team-wide standards and reusable frameworks. Communicate findings and recommendations clearly to technical peers and non-technical stakeholders, translating quantitative results into actionable insights. Contribute to team knowledge and development, including peer feedback, documentation, and knowledge sharing with less experienced colleagues. The Minimum Qualifications 4+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering AI/ML solutions independently and at scale. 4+ years of experience across the following areas: Machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluation of LLM performance across foundation models. Building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure. Python programming, with the ability to write clean, well-tested, production-quality code. Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Experience with agentic AI frameworks and tooling, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Breadth across AI and data science methods, including classical ML, causal inference, optimization, and Bayesian approaches, with comfort working across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Master's degree or equivalent depth demonstrated through research, applied projects, or prior work. Candidates with a Master's may be considered with fewer years of professional experience. Applied research credentials, such as published work, significant open-source contributions, or a demonstrated record of scientific rigor in industry. Clear and effective communication skills, with the ability to explain technical concepts and present findings to both technical and non-technical audiences. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
Job Description AI Engineer Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The Opportunity MassMutual's AI & Data Science team is seeking a skilled AI Engineer to join our high-performing, cross-functional team. In this role, you will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them into production. At this level, you are expected to take full ownership of defined initiatives with minimal supervision, driving quality and performance from development through deployment. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs, deep learning, agentic AI, and probabilistic modeling, with ownership of quality and performance from development through deployment. Frame and scope AI problems independently, defining success metrics and evaluation criteria in collaboration with stakeholders before and during solution development. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across models, and quantitative analysis, to validate approaches and support sound technical decisions. Build rapid prototypes to test AI approaches and advance validated solutions into production-grade applications (e.g., intelligent interfaces, dashboards, automated pipelines). Apply best practices in AI development, responsible AI deployment, and production engineering, contributing to team-wide standards and reusable frameworks. Communicate findings and recommendations clearly to technical peers and non-technical stakeholders, translating quantitative results into actionable insights. Contribute to team knowledge and development, including peer feedback, documentation, and knowledge sharing with less experienced colleagues. The Minimum Qualifications 4+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering AI/ML solutions independently and at scale. 4+ years of experience across the following areas: Machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluation of LLM performance across foundation models. Building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure. Python programming, with the ability to write clean, well-tested, production-quality code. Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Experience with agentic AI frameworks and tooling, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Breadth across AI and data science methods, including classical ML, causal inference, optimization, and Bayesian approaches, with comfort working across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Master's degree or equivalent depth demonstrated through research, applied projects, or prior work. Candidates with a Master's may be considered with fewer years of professional experience. Applied research credentials, such as published work, significant open-source contributions, or a demonstrated record of scientific rigor in industry. Clear and effective communication skills, with the ability to explain technical concepts and present findings to both technical and non-technical audiences. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Job Description AI Engineer Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The Opportunity MassMutual's AI & Data Science team is seeking a skilled AI Engineer to join our high-performing, cross-functional team. In this role, you will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them into production. At this level, you are expected to take full ownership of defined initiatives with minimal supervision, driving quality and performance from development through deployment. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs, deep learning, agentic AI, and probabilistic modeling, with ownership of quality and performance from development through deployment. Frame and scope AI problems independently, defining success metrics and evaluation criteria in collaboration with stakeholders before and during solution development. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across models, and quantitative analysis, to validate approaches and support sound technical decisions. Build rapid prototypes to test AI approaches and advance validated solutions into production-grade applications (e.g., intelligent interfaces, dashboards, automated pipelines). Apply best practices in AI development, responsible AI deployment, and production engineering, contributing to team-wide standards and reusable frameworks. Communicate findings and recommendations clearly to technical peers and non-technical stakeholders, translating quantitative results into actionable insights. Contribute to team knowledge and development, including peer feedback, documentation, and knowledge sharing with less experienced colleagues. The Minimum Qualifications 4+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering AI/ML solutions independently and at scale. 4+ years of experience across the following areas: Machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluation of LLM performance across foundation models. Building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure. Python programming, with the ability to write clean, well-tested, production-quality code. Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Experience with agentic AI frameworks and tooling, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Breadth across AI and data science methods, including classical ML, causal inference, optimization, and Bayesian approaches, with comfort working across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Master's degree or equivalent depth demonstrated through research, applied projects, or prior work. Candidates with a Master's may be considered with fewer years of professional experience. Applied research credentials, such as published work, significant open-source contributions, or a demonstrated record of scientific rigor in industry. Clear and effective communication skills, with the ability to explain technical concepts and present findings to both technical and non-technical audiences. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
Job Description AI Engineer Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The Opportunity MassMutual's AI & Data Science team is seeking a skilled AI Engineer to join our high-performing, cross-functional team. In this role, you will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them into production. At this level, you are expected to take full ownership of defined initiatives with minimal supervision, driving quality and performance from development through deployment. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs, deep learning, agentic AI, and probabilistic modeling, with ownership of quality and performance from development through deployment. Frame and scope AI problems independently, defining success metrics and evaluation criteria in collaboration with stakeholders before and during solution development. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across models, and quantitative analysis, to validate approaches and support sound technical decisions. Build rapid prototypes to test AI approaches and advance validated solutions into production-grade applications (e.g., intelligent interfaces, dashboards, automated pipelines). Apply best practices in AI development, responsible AI deployment, and production engineering, contributing to team-wide standards and reusable frameworks. Communicate findings and recommendations clearly to technical peers and non-technical stakeholders, translating quantitative results into actionable insights. Contribute to team knowledge and development, including peer feedback, documentation, and knowledge sharing with less experienced colleagues. The Minimum Qualifications 4+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering AI/ML solutions independently and at scale. 4+ years of experience across the following areas: Machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluation of LLM performance across foundation models. Building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure. Python programming, with the ability to write clean, well-tested, production-quality code. Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Experience with agentic AI frameworks and tooling, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Breadth across AI and data science methods, including classical ML, causal inference, optimization, and Bayesian approaches, with comfort working across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Master's degree or equivalent depth demonstrated through research, applied projects, or prior work. Candidates with a Master's may be considered with fewer years of professional experience. Applied research credentials, such as published work, significant open-source contributions, or a demonstrated record of scientific rigor in industry. Clear and effective communication skills, with the ability to explain technical concepts and present findings to both technical and non-technical audiences. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
We're seeking a Terminal Operator who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title: Terminal Operator Req ID: 16741 HR Contact: Kyle Jon KEMPEN Location: Baton Rouge Terminal LA ABOUT THE ROLE The Terminal Operator safely operates all equipment at the location used to load and unload rail cars, boats and/or trucks, ensuring order accuracy and expeditious processing of requests. Operators must be willing to work overtime, in addition to Saturdays, based on production needs. WHAT YOU'LL ACCOMPLISH Exercise and encourage core values including but not limited to; developing self and coaching others by inspiration and empowerment. Terminal Operators need the ability to communicate with Terminal Managers, customers, sales personnel, trucking firms and suppliers. Maintain grounds, offices, warehouse, yard, etc. Carry out tasks related to loading/unloading material, both bulk and bagged, waterway and road methods of transportation, as appropriate for the specific location. Operate and conduct general maintenance on mobile equipment and assist with general mechanical maintenance. Demonstrate a commitment to communicating, improving and adhering to health, safety and environmental policies in all work environments and areas. Promote a culture of safety and exhibit these behaviors. Other duties as assigned. WHAT WE'RE LOOKING FOR Required Education: High School diploma/GED Required Work Experience: 1-3 years Required Computer and Software Skills: Basic Knowledge about computers, Microsoft programs, and SAP preferred Additional Requirements: High Mechanical aptitude and ability Candidates with a mechanical background and welding experience are desirable Knowledge of cement, the construction industry and integrated computer systems an asset Successful candidates must adhere to all safety protocols and proper use of Amrize approved Personal Protection Equipment ("PPE"), including but not limited to respirators. Employees that are required to wear respirators must be clean shaven where the respirator seal meets the face in order to pass the qualitative and quantitative fit tests. WHAT WE OFFER Competitive salary Retirement Savings: Choose from 401(k) pre-tax and/or Roth after-tax savings Employee Stock Purchase Plan Medical, Dental, Disability and Life Insurance Holistic Health & Well-being programs Health Savings Accounts (HSAs) & Flexible Spending Accounts (FSAs) for health and dependent care Vision and other Voluntary benefits and discounts Paid time off & paid holidays Paid Parental Leave (maternity & paternity) Educational Assistance Program Dress for your day Amrize is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We thank all applicants for their interest; however, only those selected for an interview will be contacted. BUILDING INCLUSIVE WORKSPACES At Amrize, there is endless opportunity for you to play your part. Whether you're in a technical, managerial, or frontline role, you can shape a career that works for you. We're seeking builders, creative thinkers and innovators. Come put your expertise to work while developing the knowledge and skills to drive your career forward. With us you'll have the chance to build your ambition! Amrize North America Inc. takes pride in our hiring processes and our commitment that all qualified applicants will receive consideration for employment without regard to age, race, color, ethnicity, religion, creed, national origin, ancestry, gender, gender identity, gender expression, sex, sexual orientation, marital status, pregnancy, parental status, genetic information, citizenship, physical or mental disability, past, current, or prospective service in the uniformed services, or any other characteristic protected by applicable federal, state or local law. Amrize North America Inc, and its respective subsidiaries are Equal Opportunity Employers, deciding all employment on the basis of qualification, merit and business need. Amrize Canada Inc. is committed to the principles of employment equity and encourages the applications from women, visible minorities, and persons with disabilities. Amrize North America Inc. participates in E-Verify and will provide the federal government with your I-9 information to confirm that you are authorized to work in the United States. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request accommodation in order to apply for a position with us, please email . This email address should only be used for accommodations and not general inquiries or resume submittals. In Ontario, our organization/business is committed to fulfilling our requirements under the Accessibility for Ontarians with Disabilities Act. Under the Act, accommodations are available on request for candidates taking part in all aspects of the selection process. While we sincerely appreciate all applications, only candidates selected for an interview will be contacted. PROTECT YOURSELF FROM RECRUITMENT FRAUD The only way to apply for a position at Amrize is through our official Careers website. Be cautious of unsolicited offers or requests for information from other sources. Learn how to protect yourself from recruitment fraud here: Fraudulent Job Offers Policy
08/04/2026
Full time
We're seeking a Terminal Operator who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title: Terminal Operator Req ID: 16741 HR Contact: Kyle Jon KEMPEN Location: Baton Rouge Terminal LA ABOUT THE ROLE The Terminal Operator safely operates all equipment at the location used to load and unload rail cars, boats and/or trucks, ensuring order accuracy and expeditious processing of requests. Operators must be willing to work overtime, in addition to Saturdays, based on production needs. WHAT YOU'LL ACCOMPLISH Exercise and encourage core values including but not limited to; developing self and coaching others by inspiration and empowerment. Terminal Operators need the ability to communicate with Terminal Managers, customers, sales personnel, trucking firms and suppliers. Maintain grounds, offices, warehouse, yard, etc. Carry out tasks related to loading/unloading material, both bulk and bagged, waterway and road methods of transportation, as appropriate for the specific location. Operate and conduct general maintenance on mobile equipment and assist with general mechanical maintenance. Demonstrate a commitment to communicating, improving and adhering to health, safety and environmental policies in all work environments and areas. Promote a culture of safety and exhibit these behaviors. Other duties as assigned. WHAT WE'RE LOOKING FOR Required Education: High School diploma/GED Required Work Experience: 1-3 years Required Computer and Software Skills: Basic Knowledge about computers, Microsoft programs, and SAP preferred Additional Requirements: High Mechanical aptitude and ability Candidates with a mechanical background and welding experience are desirable Knowledge of cement, the construction industry and integrated computer systems an asset Successful candidates must adhere to all safety protocols and proper use of Amrize approved Personal Protection Equipment ("PPE"), including but not limited to respirators. Employees that are required to wear respirators must be clean shaven where the respirator seal meets the face in order to pass the qualitative and quantitative fit tests. WHAT WE OFFER Competitive salary Retirement Savings: Choose from 401(k) pre-tax and/or Roth after-tax savings Employee Stock Purchase Plan Medical, Dental, Disability and Life Insurance Holistic Health & Well-being programs Health Savings Accounts (HSAs) & Flexible Spending Accounts (FSAs) for health and dependent care Vision and other Voluntary benefits and discounts Paid time off & paid holidays Paid Parental Leave (maternity & paternity) Educational Assistance Program Dress for your day Amrize is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We thank all applicants for their interest; however, only those selected for an interview will be contacted. BUILDING INCLUSIVE WORKSPACES At Amrize, there is endless opportunity for you to play your part. Whether you're in a technical, managerial, or frontline role, you can shape a career that works for you. We're seeking builders, creative thinkers and innovators. Come put your expertise to work while developing the knowledge and skills to drive your career forward. With us you'll have the chance to build your ambition! Amrize North America Inc. takes pride in our hiring processes and our commitment that all qualified applicants will receive consideration for employment without regard to age, race, color, ethnicity, religion, creed, national origin, ancestry, gender, gender identity, gender expression, sex, sexual orientation, marital status, pregnancy, parental status, genetic information, citizenship, physical or mental disability, past, current, or prospective service in the uniformed services, or any other characteristic protected by applicable federal, state or local law. Amrize North America Inc, and its respective subsidiaries are Equal Opportunity Employers, deciding all employment on the basis of qualification, merit and business need. Amrize Canada Inc. is committed to the principles of employment equity and encourages the applications from women, visible minorities, and persons with disabilities. Amrize North America Inc. participates in E-Verify and will provide the federal government with your I-9 information to confirm that you are authorized to work in the United States. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request accommodation in order to apply for a position with us, please email . This email address should only be used for accommodations and not general inquiries or resume submittals. In Ontario, our organization/business is committed to fulfilling our requirements under the Accessibility for Ontarians with Disabilities Act. Under the Act, accommodations are available on request for candidates taking part in all aspects of the selection process. While we sincerely appreciate all applications, only candidates selected for an interview will be contacted. PROTECT YOURSELF FROM RECRUITMENT FRAUD The only way to apply for a position at Amrize is through our official Careers website. Be cautious of unsolicited offers or requests for information from other sources. Learn how to protect yourself from recruitment fraud here: Fraudulent Job Offers Policy
We're seeking a Quality Control Technician who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title: Quality Control Technician Req ID: 16978 HR Contact: Kyle Jon KEMPEN Location: Whitehall Cement Plant PA ABOUT THE ROLE The Quality Technician (QT) fulfils three cement manufacturing quality roles on an alternating week-by-week basis: chemical laboratory testing, physical laboratory testing, and production shift control. In each of these functions the QT is responsible for reliable and accurate testing of plant raw materials, plant feed streams and sixteen types of finished product. The QT also maintains laboratory equipment in good working condition. This position works in conjunction with Production and Sales personnel to provide a customer driven product. WHAT YOU'LL ACCOMPLISH Analyze material samples to determine their physical and chemical properties, using a variety of procedures and instruments to determine conformity to required standards. Record and review findings and test results using databases, spreadsheets, and other digital communication tools. Assist with customer service issues with troubleshooting any problems or complaints. Exercise and encourage core values through self development and coaching others with inspiration, integrity and empowerment. Demonstrate a commitment to communicating, improving and adhering to health, safety and environmental policies in all work environments and areas. Promote a culture of safety and exhibit these behaviors. WHAT WE'RE LOOKING FOR Education: High school diploma or equivalent Field of Study Preferred: Chemistry, Chemical Engineering Required Work Experience: 0 - 2 years Required Computer and Software Skills: Knowledge of Data Entry, Microsoft Word and Excel, SAP experience a plus Additional Requirements: Use of various scales, compression machine, sieve shakers, ovens, aggregate decant machines, aggregate splitters, computer. May drive a vehicle. Excellent math skills Detailed oriented Able to prioritize work Successful candidates must adhere to all safety protocols and proper use of Amrize approved Personal Protection Equipment ("PPE"), including but not limited to respirators. Employees that are required to wear respirators must be clean shaven where the respirator seal meets the face in order to pass the qualitative and quantitative fit tests. WHAT WE OFFER Competitive salary Retirement Savings: Choose from 401(k) pre-tax and/or Roth after-tax savings Medical, Dental, Disability and Life Insurance Holistic Health & Well-being programs Health Savings Accounts (HSAs) & Flexible Spending Accounts (FSAs) for health and dependent care Vision and other Voluntary benefits and discounts Paid time off & paid holidays Paid Parental Leave (maternity & paternity) Educational Assistance Program Dress for your day Amrize is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We thank all applicants for their interest; however, only those selected for an interview will be contacted. BUILDING INCLUSIVE WORKSPACES At Amrize, there is endless opportunity for you to play your part. Whether you're in a technical, managerial, or frontline role, you can shape a career that works for you. We're seeking builders, creative thinkers and innovators. Come put your expertise to work while developing the knowledge and skills to drive your career forward. With us you'll have the chance to build your ambition! Amrize North America Inc. takes pride in our hiring processes and our commitment that all qualified applicants will receive consideration for employment without regard to age, race, color, ethnicity, religion, creed, national origin, ancestry, gender, gender identity, gender expression, sex, sexual orientation, marital status, pregnancy, parental status, genetic information, citizenship, physical or mental disability, past, current, or prospective service in the uniformed services, or any other characteristic protected by applicable federal, state or local law. Amrize North America Inc, and its respective subsidiaries are Equal Opportunity Employers, deciding all employment on the basis of qualification, merit and business need. Amrize Canada Inc. is committed to the principles of employment equity and encourages the applications from women, visible minorities, and persons with disabilities. Amrize North America Inc. participates in E-Verify and will provide the federal government with your I-9 information to confirm that you are authorized to work in the United States. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request accommodation in order to apply for a position with us, please email . This email address should only be used for accommodations and not general inquiries or resume submittals. In Ontario, our organization/business is committed to fulfilling our requirements under the Accessibility for Ontarians with Disabilities Act. Under the Act, accommodations are available on request for candidates taking part in all aspects of the selection process. While we sincerely appreciate all applications, only candidates selected for an interview will be contacted. PROTECT YOURSELF FROM RECRUITMENT FRAUD The only way to apply for a position at Amrize is through our official Careers website. Be cautious of unsolicited offers or requests for information from other sources. Learn how to protect yourself from recruitment fraud here: Fraudulent Job Offers Policy
08/04/2026
Full time
We're seeking a Quality Control Technician who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title: Quality Control Technician Req ID: 16978 HR Contact: Kyle Jon KEMPEN Location: Whitehall Cement Plant PA ABOUT THE ROLE The Quality Technician (QT) fulfils three cement manufacturing quality roles on an alternating week-by-week basis: chemical laboratory testing, physical laboratory testing, and production shift control. In each of these functions the QT is responsible for reliable and accurate testing of plant raw materials, plant feed streams and sixteen types of finished product. The QT also maintains laboratory equipment in good working condition. This position works in conjunction with Production and Sales personnel to provide a customer driven product. WHAT YOU'LL ACCOMPLISH Analyze material samples to determine their physical and chemical properties, using a variety of procedures and instruments to determine conformity to required standards. Record and review findings and test results using databases, spreadsheets, and other digital communication tools. Assist with customer service issues with troubleshooting any problems or complaints. Exercise and encourage core values through self development and coaching others with inspiration, integrity and empowerment. Demonstrate a commitment to communicating, improving and adhering to health, safety and environmental policies in all work environments and areas. Promote a culture of safety and exhibit these behaviors. WHAT WE'RE LOOKING FOR Education: High school diploma or equivalent Field of Study Preferred: Chemistry, Chemical Engineering Required Work Experience: 0 - 2 years Required Computer and Software Skills: Knowledge of Data Entry, Microsoft Word and Excel, SAP experience a plus Additional Requirements: Use of various scales, compression machine, sieve shakers, ovens, aggregate decant machines, aggregate splitters, computer. May drive a vehicle. Excellent math skills Detailed oriented Able to prioritize work Successful candidates must adhere to all safety protocols and proper use of Amrize approved Personal Protection Equipment ("PPE"), including but not limited to respirators. Employees that are required to wear respirators must be clean shaven where the respirator seal meets the face in order to pass the qualitative and quantitative fit tests. WHAT WE OFFER Competitive salary Retirement Savings: Choose from 401(k) pre-tax and/or Roth after-tax savings Medical, Dental, Disability and Life Insurance Holistic Health & Well-being programs Health Savings Accounts (HSAs) & Flexible Spending Accounts (FSAs) for health and dependent care Vision and other Voluntary benefits and discounts Paid time off & paid holidays Paid Parental Leave (maternity & paternity) Educational Assistance Program Dress for your day Amrize is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We thank all applicants for their interest; however, only those selected for an interview will be contacted. BUILDING INCLUSIVE WORKSPACES At Amrize, there is endless opportunity for you to play your part. Whether you're in a technical, managerial, or frontline role, you can shape a career that works for you. We're seeking builders, creative thinkers and innovators. Come put your expertise to work while developing the knowledge and skills to drive your career forward. With us you'll have the chance to build your ambition! Amrize North America Inc. takes pride in our hiring processes and our commitment that all qualified applicants will receive consideration for employment without regard to age, race, color, ethnicity, religion, creed, national origin, ancestry, gender, gender identity, gender expression, sex, sexual orientation, marital status, pregnancy, parental status, genetic information, citizenship, physical or mental disability, past, current, or prospective service in the uniformed services, or any other characteristic protected by applicable federal, state or local law. Amrize North America Inc, and its respective subsidiaries are Equal Opportunity Employers, deciding all employment on the basis of qualification, merit and business need. Amrize Canada Inc. is committed to the principles of employment equity and encourages the applications from women, visible minorities, and persons with disabilities. Amrize North America Inc. participates in E-Verify and will provide the federal government with your I-9 information to confirm that you are authorized to work in the United States. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request accommodation in order to apply for a position with us, please email . This email address should only be used for accommodations and not general inquiries or resume submittals. In Ontario, our organization/business is committed to fulfilling our requirements under the Accessibility for Ontarians with Disabilities Act. Under the Act, accommodations are available on request for candidates taking part in all aspects of the selection process. While we sincerely appreciate all applications, only candidates selected for an interview will be contacted. PROTECT YOURSELF FROM RECRUITMENT FRAUD The only way to apply for a position at Amrize is through our official Careers website. Be cautious of unsolicited offers or requests for information from other sources. Learn how to protect yourself from recruitment fraud here: Fraudulent Job Offers Policy
The Opportunity MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases-from ideation through production deployment and monitoring-using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions. Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment. Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable. Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem. Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms. Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale. Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks. Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery. Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks. M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards. Breadth across AI and data science methods-including classical ML, causal inference, optimization, and Bayesian approaches-with comfort moving across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership. Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
The Opportunity MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases-from ideation through production deployment and monitoring-using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions. Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment. Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable. Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem. Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms. Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale. Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks. Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery. Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks. M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards. Breadth across AI and data science methods-including classical ML, causal inference, optimization, and Bayesian approaches-with comfort moving across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership. Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
The Opportunity MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases-from ideation through production deployment and monitoring-using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions. Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment. Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable. Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem. Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms. Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale. Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks. Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery. Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks. M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards. Breadth across AI and data science methods-including classical ML, causal inference, optimization, and Bayesian approaches-with comfort moving across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership. Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
The Opportunity MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases-from ideation through production deployment and monitoring-using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions. Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment. Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable. Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem. Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms. Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale. Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks. Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery. Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks. M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards. Breadth across AI and data science methods-including classical ML, causal inference, optimization, and Bayesian approaches-with comfort moving across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership. Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
The Opportunity MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases-from ideation through production deployment and monitoring-using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions. Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment. Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable. Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem. Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms. Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale. Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks. Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery. Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks. M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards. Breadth across AI and data science methods-including classical ML, causal inference, optimization, and Bayesian approaches-with comfort moving across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership. Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
The Opportunity MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases-from ideation through production deployment and monitoring-using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions. Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment. Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable. Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem. Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms. Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale. Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks. Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery. Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks. M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards. Breadth across AI and data science methods-including classical ML, causal inference, optimization, and Bayesian approaches-with comfort moving across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership. Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
