Job Description Job Description Description Augustine Consulting Inc. is a Woman-Owned Small Business professional services provider of engineering and technical services to the United States Government. We seek an experienced Engineer/Scientist - III to support ACI's Third Party Integration (3PI) Team, leading the evaluation, integration, and testing of emerging third-party technologies in support of the Nett Warrior program and Army modernization initiatives. Duties and Responsibilities: This position leads the evaluation, integration, interoperability assessment, testing, and fielding of third-party hardware and software capabilities within the Army's tactical communications and command and control ecosystem. Working closely with Product Managers, Program Offices, operational units, and industry partners, the Engineer Scientist supports the engineering lifecycle and helps ensure emerging technologies are integrated in support of Nett Warrior, Next Generation Command and Control (NGC2), Transformation in Contact (TiC), Tactical Edge Networking (TEN), and related Army modernization initiatives. Work includes systems integration, requirements analysis, technical evaluation, interoperability testing, and operational support. A successful Engineer/Scientist - III at ACI will: Demonstrate expertise in systems engineering, interoperability analysis, systems integration, and technical evaluation of complex military command and control capabilities, Lead complex technical integration efforts involving multiple stakeholders, competing priorities, and evolving operational requirements. Effectively coordinate and communicate with senior government leaders, operational units, acquisition professionals, engineers, and industry partners to achieve mission objectives. Apply engineering principles across the full system lifecycle, including requirements analysis, design, development, testing, troubleshooting, documentation, and sustainment. Analyze complex technical challenges and provide practical recommendations that improve interoperability, operational effectiveness, and mission success across the tactical network. Serve as a trusted technical advisor and subject matter expert, evaluating emerging commercial and government technologies for integration into Army tactical communications and command and control ecosystems. A Technical Analyst who fits our team is: Dynamic: contributes energy and enthusiasm to our daily tasks, to the team's interactions, and to the Company's mission. Thorough: possesses an unparalleled work ethic; produces complete, even polished products; persistent; mission-focused; asks "Why?" as often as necessary to get to the root of the matter. Mature: respects others' opinions, beliefs, and culture; listens to ideas, shares thoughts, and works independently and together to contribute insights to the company's leaders. Forthright: speaks with conviction; argues based on understanding, respectfully. Inquisitive: seeks deeper explanations of how systems work, not the surface-level description of the actors involved; goes beyond "stick-fetching" to connect the unconnected. Timely: shows up, ready to think, prepared to get on with the day's assignments; contributes analytical insights that meet time-sensitive, reasonable requests. Honest: knows what's right, what's legal, what's appropriate; acts accordingly. Required Qualifications: Must be a U.S. Citizen Due to the sensitive nature of the work being performed, a candidate must possess or be able to possess a Department of War (DOW) Secret clearance. High School diploma and 14 years' experience, or Associate's degree and 12 years' experience, or Bachelor's degree and 5 years' experience, or Master's degree and 1 year of experience. Experience with one or more of the following development tools/environments is desired: Android SDK, .NET SDK, OpenGL, FFMPEG, and SQLite. Domain experience in geospatial systems (i.e., moving map display), geo-positioning devices, advanced GPS technology, tactical networking, and/or mission planning solutions desired. Experience with mobile applications, Android OS, and Windows preferred. Strong understanding of IP networking architectures, network devices, networking principles, and tactical communications infrastructure. Experience with tactical networks, mission command systems, handheld mobile computing devices, operating systems, system administration, network protocols, and software development or engineering processes. Demonstrated ability to independently assess technical and operational challenges, exercise sound judgment, solve complex problems, and communicate technical information effectively to technical and non-technical audiences. Advanced proficiency with Microsoft Office applications, particularly Excel, Word, Outlook, and Teams, with the ability to work independently or within a team environment, manage competing priorities, produce technical documentation, and travel as required to support customer operations. Preferred Qualifications: Three (3) years of experience utilizing Nett Warrior or comparable Situational Awareness and Command and Control (C2) systems. Experience supporting Army tactical communications, Mission Command systems, operational units, or military network modernization initiatives. Experience operating tactical radios and developing communications architectures, including communications planning, Mobile Ad Hoc Networking (MANET) waveforms, and Common Operating Picture (COP) data flows. Experience deploying, configuring, administering, and supporting Team Awareness Kit (TAK) server infrastructure and associated services. Experience utilizing TAK applications, including ATAK, WinTAK, and ITAK, in operational or test environments. Experience developing automation and administrative scripts using Windows PowerShell or similar scripting languages. Experience creating, configuring, and managing virtual machines and virtual environments using Hyper-V or comparable virtualization platforms. Augustine Consulting Inc. offers a robust benefits package which includes: Competitive salary Comprehensive Medical, Dental, and Vision plans Group Life and Voluntary Life Insurance plans Retirement Savings Plan Paid Time Off Paid Parental Leave Tuition and Professional Development Reimbursement Program
11/10/2026
Full time
Job Description Job Description Description Augustine Consulting Inc. is a Woman-Owned Small Business professional services provider of engineering and technical services to the United States Government. We seek an experienced Engineer/Scientist - III to support ACI's Third Party Integration (3PI) Team, leading the evaluation, integration, and testing of emerging third-party technologies in support of the Nett Warrior program and Army modernization initiatives. Duties and Responsibilities: This position leads the evaluation, integration, interoperability assessment, testing, and fielding of third-party hardware and software capabilities within the Army's tactical communications and command and control ecosystem. Working closely with Product Managers, Program Offices, operational units, and industry partners, the Engineer Scientist supports the engineering lifecycle and helps ensure emerging technologies are integrated in support of Nett Warrior, Next Generation Command and Control (NGC2), Transformation in Contact (TiC), Tactical Edge Networking (TEN), and related Army modernization initiatives. Work includes systems integration, requirements analysis, technical evaluation, interoperability testing, and operational support. A successful Engineer/Scientist - III at ACI will: Demonstrate expertise in systems engineering, interoperability analysis, systems integration, and technical evaluation of complex military command and control capabilities, Lead complex technical integration efforts involving multiple stakeholders, competing priorities, and evolving operational requirements. Effectively coordinate and communicate with senior government leaders, operational units, acquisition professionals, engineers, and industry partners to achieve mission objectives. Apply engineering principles across the full system lifecycle, including requirements analysis, design, development, testing, troubleshooting, documentation, and sustainment. Analyze complex technical challenges and provide practical recommendations that improve interoperability, operational effectiveness, and mission success across the tactical network. Serve as a trusted technical advisor and subject matter expert, evaluating emerging commercial and government technologies for integration into Army tactical communications and command and control ecosystems. A Technical Analyst who fits our team is: Dynamic: contributes energy and enthusiasm to our daily tasks, to the team's interactions, and to the Company's mission. Thorough: possesses an unparalleled work ethic; produces complete, even polished products; persistent; mission-focused; asks "Why?" as often as necessary to get to the root of the matter. Mature: respects others' opinions, beliefs, and culture; listens to ideas, shares thoughts, and works independently and together to contribute insights to the company's leaders. Forthright: speaks with conviction; argues based on understanding, respectfully. Inquisitive: seeks deeper explanations of how systems work, not the surface-level description of the actors involved; goes beyond "stick-fetching" to connect the unconnected. Timely: shows up, ready to think, prepared to get on with the day's assignments; contributes analytical insights that meet time-sensitive, reasonable requests. Honest: knows what's right, what's legal, what's appropriate; acts accordingly. Required Qualifications: Must be a U.S. Citizen Due to the sensitive nature of the work being performed, a candidate must possess or be able to possess a Department of War (DOW) Secret clearance. High School diploma and 14 years' experience, or Associate's degree and 12 years' experience, or Bachelor's degree and 5 years' experience, or Master's degree and 1 year of experience. Experience with one or more of the following development tools/environments is desired: Android SDK, .NET SDK, OpenGL, FFMPEG, and SQLite. Domain experience in geospatial systems (i.e., moving map display), geo-positioning devices, advanced GPS technology, tactical networking, and/or mission planning solutions desired. Experience with mobile applications, Android OS, and Windows preferred. Strong understanding of IP networking architectures, network devices, networking principles, and tactical communications infrastructure. Experience with tactical networks, mission command systems, handheld mobile computing devices, operating systems, system administration, network protocols, and software development or engineering processes. Demonstrated ability to independently assess technical and operational challenges, exercise sound judgment, solve complex problems, and communicate technical information effectively to technical and non-technical audiences. Advanced proficiency with Microsoft Office applications, particularly Excel, Word, Outlook, and Teams, with the ability to work independently or within a team environment, manage competing priorities, produce technical documentation, and travel as required to support customer operations. Preferred Qualifications: Three (3) years of experience utilizing Nett Warrior or comparable Situational Awareness and Command and Control (C2) systems. Experience supporting Army tactical communications, Mission Command systems, operational units, or military network modernization initiatives. Experience operating tactical radios and developing communications architectures, including communications planning, Mobile Ad Hoc Networking (MANET) waveforms, and Common Operating Picture (COP) data flows. Experience deploying, configuring, administering, and supporting Team Awareness Kit (TAK) server infrastructure and associated services. Experience utilizing TAK applications, including ATAK, WinTAK, and ITAK, in operational or test environments. Experience developing automation and administrative scripts using Windows PowerShell or similar scripting languages. Experience creating, configuring, and managing virtual machines and virtual environments using Hyper-V or comparable virtualization platforms. Augustine Consulting Inc. offers a robust benefits package which includes: Competitive salary Comprehensive Medical, Dental, and Vision plans Group Life and Voluntary Life Insurance plans Retirement Savings Plan Paid Time Off Paid Parental Leave Tuition and Professional Development Reimbursement Program
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $128,000.00 - $176,000.00 Location: Benicia,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Key Responsibilities through in-depth understanding of customer technologies and critical gaps and work throughout the work cycle until the implementation of the solution Technically leads difficult, complex application activities and team Leads the execution teams ß-sites, evaluation and demos at customers site, through high involvement in the SOW and commitment schedule Interfaces with the customer regarding technical requirements analysis and schedule Define/approve Product application support plans for installation Create & Lead new methodologies in order to optimized system performance for specific application Analysis, Develop and Transfer new application capabilities in the system envelope from product division to customer application support team Lead customer Technical review meetings Functional Knowledge Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines Business Expertise Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market Leadership Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements Problem Solving Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information Impact Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies Interpersonal Skills Explains difficult or sensitive information; works to build consensus Senior Applications Engineer - Semiconductor 3D X-ray Solutions As an Applications Engineer, you will join an exciting and growing team of scientists, engineers, and research professionals, focused on advancing 3D X-ray solutions for semiconductor applications. You will collaborate closely with customers and internal teams to enable cutting-edge inspection, metrology, and failure analysis workflows. Key Responsibilities Lead system demonstrations for semiconductor customers, including fabs, FA labs, and R&D centers Develop new applications and methodologies tailored to semiconductor devices, processes, and packaging technologies Provide critical input to product development by informing system specifications based on customer needs and application gaps Deliver advanced customer training on system operation, data acquisition, and analysis workflows Design, develop, and optimize robust workflows for semiconductor inspection and analysis Perform tool characterization, benchmarking, and baseline performance studies for semiconductor use cases Serve as a technical leader in customer-facing support activities, including: Delivering high-impact technical presentations and demos Supporting industry conferences and trade shows Authoring technical papers and presenting at conferences Customer Base Our customers include semiconductor manufacturing facilities (fabs), failure analysis (FA) laboratories, and advanced R&D organizations working at the forefront of device innovation. Role Impact In this role, you will act as a key technical interface between engineering, sales, and marketing, serving as the voice of the semiconductor customer. You will partner with external clients and internal development teams to: Establish best-in-class workflows for routine semiconductor inspection and analysis Identify and unlock new applications of 3D X-ray technology across front-end and back-end processes Solve high-value problems (HVPs) related to yield, reliability, process development, and advanced packaging Essential Qualifications BS or MS degree in a relevant technical field (e.g., Materials Science, Physics, Electrical Engineering, or related discipline) 3-5 years of experience in a semiconductor-related field (e.g., fabs, failure analysis, metrology, or process development) Hands-on experience designing experiments, analyzing data, and delivering results in a commercial or customer-facing environment Ability and willingness to travel up to 30% (domestic and international) Preferred Qualifications Background in microscopy or advanced imaging techniques (e.g., X-ray CT, SEM, FIB) Working knowledge of X-ray absorption principles and imaging/optical fundamentals Experience with semiconductor capital equipment, particularly in inspection, metrology, or FA workflows Familiarity with advanced semiconductor technologies (e.g., 3D IC, heterogeneous integration, advanced packaging) Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 25% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at , or by calling our HR Direct Help Line at , option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
11/10/2026
Full time
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $128,000.00 - $176,000.00 Location: Benicia,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Key Responsibilities through in-depth understanding of customer technologies and critical gaps and work throughout the work cycle until the implementation of the solution Technically leads difficult, complex application activities and team Leads the execution teams ß-sites, evaluation and demos at customers site, through high involvement in the SOW and commitment schedule Interfaces with the customer regarding technical requirements analysis and schedule Define/approve Product application support plans for installation Create & Lead new methodologies in order to optimized system performance for specific application Analysis, Develop and Transfer new application capabilities in the system envelope from product division to customer application support team Lead customer Technical review meetings Functional Knowledge Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines Business Expertise Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market Leadership Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements Problem Solving Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information Impact Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies Interpersonal Skills Explains difficult or sensitive information; works to build consensus Senior Applications Engineer - Semiconductor 3D X-ray Solutions As an Applications Engineer, you will join an exciting and growing team of scientists, engineers, and research professionals, focused on advancing 3D X-ray solutions for semiconductor applications. You will collaborate closely with customers and internal teams to enable cutting-edge inspection, metrology, and failure analysis workflows. Key Responsibilities Lead system demonstrations for semiconductor customers, including fabs, FA labs, and R&D centers Develop new applications and methodologies tailored to semiconductor devices, processes, and packaging technologies Provide critical input to product development by informing system specifications based on customer needs and application gaps Deliver advanced customer training on system operation, data acquisition, and analysis workflows Design, develop, and optimize robust workflows for semiconductor inspection and analysis Perform tool characterization, benchmarking, and baseline performance studies for semiconductor use cases Serve as a technical leader in customer-facing support activities, including: Delivering high-impact technical presentations and demos Supporting industry conferences and trade shows Authoring technical papers and presenting at conferences Customer Base Our customers include semiconductor manufacturing facilities (fabs), failure analysis (FA) laboratories, and advanced R&D organizations working at the forefront of device innovation. Role Impact In this role, you will act as a key technical interface between engineering, sales, and marketing, serving as the voice of the semiconductor customer. You will partner with external clients and internal development teams to: Establish best-in-class workflows for routine semiconductor inspection and analysis Identify and unlock new applications of 3D X-ray technology across front-end and back-end processes Solve high-value problems (HVPs) related to yield, reliability, process development, and advanced packaging Essential Qualifications BS or MS degree in a relevant technical field (e.g., Materials Science, Physics, Electrical Engineering, or related discipline) 3-5 years of experience in a semiconductor-related field (e.g., fabs, failure analysis, metrology, or process development) Hands-on experience designing experiments, analyzing data, and delivering results in a commercial or customer-facing environment Ability and willingness to travel up to 30% (domestic and international) Preferred Qualifications Background in microscopy or advanced imaging techniques (e.g., X-ray CT, SEM, FIB) Working knowledge of X-ray absorption principles and imaging/optical fundamentals Experience with semiconductor capital equipment, particularly in inspection, metrology, or FA workflows Familiarity with advanced semiconductor technologies (e.g., 3D IC, heterogeneous integration, advanced packaging) Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 25% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at , or by calling our HR Direct Help Line at , option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
American Honda Motor Co., Inc.
Torrance, California
Design, validate, and productionize forecasting and planning models that convert sales targets and media investment into digital marketing goals, website traffic forecasts, and budget guidance. Partner with marketing, sales, analytics, and engineering teams to deploy and monitor models, assess changing business conditions, and communicate recommendations. Responsibilities Design, build, and validate statistical and machine learning forecasting and planning models. Translate sales targets and media spend plans into digital marketing goals, website traffic forecasts, and performance projections. Engineer and validate features using sales, media, digital traffic, and business data. Identify and integrate data sources to improve forecast accuracy and reliability. Partner with engineering to deploy, monitor, retrain, and troubleshoot production models. Assess changes in media spend, campaign strategy, seasonality, or demand and communicate model findings and recommendations. Required Skills Python Statistical programming Machine learning Forecasting and time series analysis Feature engineering SQLCausal inference and econometrics Model deployment and productionization Cloud platforms (AWS S3, EC2, Redshift, Glue, Sage Maker) Py Torch, Tensor Flow, Scikit-Learn, or Spark
11/10/2026
Full time
Design, validate, and productionize forecasting and planning models that convert sales targets and media investment into digital marketing goals, website traffic forecasts, and budget guidance. Partner with marketing, sales, analytics, and engineering teams to deploy and monitor models, assess changing business conditions, and communicate recommendations. Responsibilities Design, build, and validate statistical and machine learning forecasting and planning models. Translate sales targets and media spend plans into digital marketing goals, website traffic forecasts, and performance projections. Engineer and validate features using sales, media, digital traffic, and business data. Identify and integrate data sources to improve forecast accuracy and reliability. Partner with engineering to deploy, monitor, retrain, and troubleshoot production models. Assess changes in media spend, campaign strategy, seasonality, or demand and communicate model findings and recommendations. Required Skills Python Statistical programming Machine learning Forecasting and time series analysis Feature engineering SQLCausal inference and econometrics Model deployment and productionization Cloud platforms (AWS S3, EC2, Redshift, Glue, Sage Maker) Py Torch, Tensor Flow, Scikit-Learn, or Spark
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world. We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact: Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority. Gain high-impact exposure to senior technology leaders, market-facing financial-services platforms, regulated AI/ML practices, and global enterprise-scale transformation, with the opportunity to shape how advanced analytics and machine learning are applied safely and effectively in production. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What we are looking for: 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams. Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes. Additional Preferred Qualifications: Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority. Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal . click apply for full job details
11/10/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world. We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact: Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority. Gain high-impact exposure to senior technology leaders, market-facing financial-services platforms, regulated AI/ML practices, and global enterprise-scale transformation, with the opportunity to shape how advanced analytics and machine learning are applied safely and effectively in production. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What we are looking for: 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams. Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes. Additional Preferred Qualifications: Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority. Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal . click apply for full job details
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $128,000.00 - $176,000.00 Location: Benicia,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits Key Responsibilities through in-depth understanding of customer technologies and critical gaps and work throughout the work cycle until the implementation of the solution Technically leads difficult, complex application activities and team Leads the execution teams ß-sites, evaluation and demos at customers site, through high involvement in the SOW and commitment schedule Interfaces with the customer regarding technical requirements analysis and schedule Define/approve Product application support plans for installation Create & Lead new methodologies in order to optimized system performance for specific application Analysis, Develop and Transfer new application capabilities in the system envelope from product division to customer application support team Lead customer Technical review meetings Functional Knowledge Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines Business Expertise Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market Leadership Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements Problem Solving Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information Impact Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies Interpersonal Skills Explains difficult or sensitive information; works to build consensus Senior Applications Engineer - Semiconductor 3D X-ray Solutions As an Applications Engineer, you will join an exciting and growing team of scientists, engineers, and research professionals, focused on advancing 3D X-ray solutions for semiconductor applications. You will collaborate closely with customers and internal teams to enable cutting-edge inspection, metrology, and failure analysis workflows. Key Responsibilities Lead system demonstrations for semiconductor customers, including fabs, FA labs, and R&D centers Develop new applications and methodologies tailored to semiconductor devices, processes, and packaging technologies Provide critical input to product development by informing system specifications based on customer needs and application gaps Deliver advanced customer training on system operation, data acquisition, and analysis workflows Design, develop, and optimize robust workflows for semiconductor inspection and analysis Perform tool characterization, benchmarking, and baseline performance studies for semiconductor use cases Serve as a technical leader in customer-facing support activities, including: Delivering high-impact technical presentations and demos Supporting industry conferences and trade shows Authoring technical papers and presenting at conferences Customer Base Our customers include semiconductor manufacturing facilities (fabs), failure analysis (FA) laboratories, and advanced R&D organizations working at the forefront of device innovation. Role Impact In this role, you will act as a key technical interface between engineering, sales, and marketing, serving as the voice of the semiconductor customer. You will partner with external clients and internal development teams to: Establish best-in-class workflows for routine semiconductor inspection and analysis Identify and unlock new applications of 3D X-ray technology across front-end and back-end processes Solve high-value problems (HVPs) related to yield, reliability, process development, and advanced packaging Essential Qualifications BS or MS degree in a relevant technical field (e.g., Materials Science, Physics, Electrical Engineering, or related discipline) 3-5 years of experience in a semiconductor-related field (e.g., fabs, failure analysis, metrology, or process development) Hands-on experience designing experiments, analyzing data, and delivering results in a commercial or customer-facing environment Ability and willingness to travel up to 30% (domestic and international) Preferred Qualifications Background in microscopy or advanced imaging techniques (e.g., X-ray CT, SEM, FIB) Working knowledge of X-ray absorption principles and imaging/optical fundamentals Experience with semiconductor capital equipment, particularly in inspection, metrology, or FA workflows Familiarity with advanced semiconductor technologies (e.g., 3D IC, heterogeneous integration, advanced packaging) Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 25% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at , or by calling our HR Direct Help Line at , option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
11/10/2026
Full time
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $128,000.00 - $176,000.00 Location: Benicia,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits Key Responsibilities through in-depth understanding of customer technologies and critical gaps and work throughout the work cycle until the implementation of the solution Technically leads difficult, complex application activities and team Leads the execution teams ß-sites, evaluation and demos at customers site, through high involvement in the SOW and commitment schedule Interfaces with the customer regarding technical requirements analysis and schedule Define/approve Product application support plans for installation Create & Lead new methodologies in order to optimized system performance for specific application Analysis, Develop and Transfer new application capabilities in the system envelope from product division to customer application support team Lead customer Technical review meetings Functional Knowledge Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines Business Expertise Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market Leadership Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements Problem Solving Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information Impact Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies Interpersonal Skills Explains difficult or sensitive information; works to build consensus Senior Applications Engineer - Semiconductor 3D X-ray Solutions As an Applications Engineer, you will join an exciting and growing team of scientists, engineers, and research professionals, focused on advancing 3D X-ray solutions for semiconductor applications. You will collaborate closely with customers and internal teams to enable cutting-edge inspection, metrology, and failure analysis workflows. Key Responsibilities Lead system demonstrations for semiconductor customers, including fabs, FA labs, and R&D centers Develop new applications and methodologies tailored to semiconductor devices, processes, and packaging technologies Provide critical input to product development by informing system specifications based on customer needs and application gaps Deliver advanced customer training on system operation, data acquisition, and analysis workflows Design, develop, and optimize robust workflows for semiconductor inspection and analysis Perform tool characterization, benchmarking, and baseline performance studies for semiconductor use cases Serve as a technical leader in customer-facing support activities, including: Delivering high-impact technical presentations and demos Supporting industry conferences and trade shows Authoring technical papers and presenting at conferences Customer Base Our customers include semiconductor manufacturing facilities (fabs), failure analysis (FA) laboratories, and advanced R&D organizations working at the forefront of device innovation. Role Impact In this role, you will act as a key technical interface between engineering, sales, and marketing, serving as the voice of the semiconductor customer. You will partner with external clients and internal development teams to: Establish best-in-class workflows for routine semiconductor inspection and analysis Identify and unlock new applications of 3D X-ray technology across front-end and back-end processes Solve high-value problems (HVPs) related to yield, reliability, process development, and advanced packaging Essential Qualifications BS or MS degree in a relevant technical field (e.g., Materials Science, Physics, Electrical Engineering, or related discipline) 3-5 years of experience in a semiconductor-related field (e.g., fabs, failure analysis, metrology, or process development) Hands-on experience designing experiments, analyzing data, and delivering results in a commercial or customer-facing environment Ability and willingness to travel up to 30% (domestic and international) Preferred Qualifications Background in microscopy or advanced imaging techniques (e.g., X-ray CT, SEM, FIB) Working knowledge of X-ray absorption principles and imaging/optical fundamentals Experience with semiconductor capital equipment, particularly in inspection, metrology, or FA workflows Familiarity with advanced semiconductor technologies (e.g., 3D IC, heterogeneous integration, advanced packaging) Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 25% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at , or by calling our HR Direct Help Line at , option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
LexisNexis Legal & Professional
Raleigh, North Carolina
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. NOTE: Candidate MUST reside in the Eastern Time zone (EST) Are you passionate about building scalable Salesforce solutions that directly empower sales teams and improve customer outcomes? Would you like to help shape the future of AI-enabled CRM capabilities while working with industry-leading technologies and data-driven platforms? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role As a Senior Salesforce Sales Cloud Engineer II, you will design, build, and support scalable Salesforce Sales Cloud solutions that enable sales, sales operations, and customer success teams to succeed. You will lead the delivery of complex features, integrate Salesforce with key enterprise platforms, and help drive the adoption of AI-powered capabilities. This role combines hands-on engineering, technical leadership, and collaboration across business and technology teams to deliver impactful customer and business outcomes. Responsibilities: Design, develop, and deploy Sales Cloud solutions across Lead, Account, Contact, Opportunity, Quote, Forecasting, and Territory Management. Build solutions using Apex, Lightning Web Components (LWC), Flow, and declarative Salesforce capabilities. Architect and maintain integrations between Salesforce and enterprise platforms including CDP, data warehouses, service platforms, customer portals, and sales enablement tools. Support the single customer view through identity matching, survivorship rules, and duplicate management across systems. Operationalize customer and business signals such as health score, churn risk, and propensity-to-buy within Salesforce workflows. Design and build AI-driven automation using Agentforce, Einstein, Prompt Builder, and Flow. Drive CI/CD and release management using Copado, Git, and SFDX, including automated testing and deployment pipelines. Troubleshoot complex production issues, performance bottlenecks, and data synchronization challenges. Requirements: 6+ years of hands-on Salesforce development experience, with at least 4 years on Sales Cloud. Strong proficiency in Apex, SOQL/SOSL, triggers, batch and queueable jobs, LWC, and Flow. Deep knowledge of the Sales Cloud data model, sharing and security model, and opportunity and forecast management. Proven experience with API-based integrations and middleware. Hands-on experience with Copado for CI/CD and release management, including pipeline configuration, branching and promotion strategies, automated deployments, and back-promotions. Also experience with Git-based source control and SFDX. Hands-on experience building automation with Salesforce Flow (record-triggered, orchestration, and platform-event flows) plus Apex-based automation. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
11/09/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. NOTE: Candidate MUST reside in the Eastern Time zone (EST) Are you passionate about building scalable Salesforce solutions that directly empower sales teams and improve customer outcomes? Would you like to help shape the future of AI-enabled CRM capabilities while working with industry-leading technologies and data-driven platforms? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role As a Senior Salesforce Sales Cloud Engineer II, you will design, build, and support scalable Salesforce Sales Cloud solutions that enable sales, sales operations, and customer success teams to succeed. You will lead the delivery of complex features, integrate Salesforce with key enterprise platforms, and help drive the adoption of AI-powered capabilities. This role combines hands-on engineering, technical leadership, and collaboration across business and technology teams to deliver impactful customer and business outcomes. Responsibilities: Design, develop, and deploy Sales Cloud solutions across Lead, Account, Contact, Opportunity, Quote, Forecasting, and Territory Management. Build solutions using Apex, Lightning Web Components (LWC), Flow, and declarative Salesforce capabilities. Architect and maintain integrations between Salesforce and enterprise platforms including CDP, data warehouses, service platforms, customer portals, and sales enablement tools. Support the single customer view through identity matching, survivorship rules, and duplicate management across systems. Operationalize customer and business signals such as health score, churn risk, and propensity-to-buy within Salesforce workflows. Design and build AI-driven automation using Agentforce, Einstein, Prompt Builder, and Flow. Drive CI/CD and release management using Copado, Git, and SFDX, including automated testing and deployment pipelines. Troubleshoot complex production issues, performance bottlenecks, and data synchronization challenges. Requirements: 6+ years of hands-on Salesforce development experience, with at least 4 years on Sales Cloud. Strong proficiency in Apex, SOQL/SOSL, triggers, batch and queueable jobs, LWC, and Flow. Deep knowledge of the Sales Cloud data model, sharing and security model, and opportunity and forecast management. Proven experience with API-based integrations and middleware. Hands-on experience with Copado for CI/CD and release management, including pipeline configuration, branching and promotion strategies, automated deployments, and back-promotions. Also experience with Git-based source control and SFDX. Hands-on experience building automation with Salesforce Flow (record-triggered, orchestration, and platform-event flows) plus Apex-based automation. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
LexisNexis Legal & Professional
Horsham, Pennsylvania
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
11/09/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
11/09/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
11/09/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
11/09/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
11/09/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Medium or large bank experience. Strong knowledge of Python and/or SAS. Control partner collaboration experience. Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. About the Role Internal Job Title: Senior Expert I/II, Data Science Position Location : Cambridge, MA, hybrid This role is based in Cambridge, MA. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you. Job description Summary: The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. Responsibilities: Translate scientific and operational AI needs into impactful, decision-enabling solutions. Hands-on design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products. Scale AI workflows using reproducible, transparent, secure, and FAIR data practices. Prioritize resources against evolving research needs. Establish rigorous project evaluation, deployment, lifecycle, and governance practices. Mentor, train and coach wet lab scientists, data scientists, engineers, and cross-functional teams. Provide oversight and onboarding of external vendors and service providers. Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Requirements : PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience. We will also consider qualified MS degree applicants with 5+ years of relevant post-graduate experience. 3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms. Demonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products. Deep practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS). Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization. Strong communication, interpersonal, ethical, self-awareness, and customer service skills. Compensation & Benefits: The salary for this position is expected to range between $126,000 and $234,000 USD annually for Senior Expert I, Data Science, and $138,600 and $257,400 USD annually for Senior Expert II, Data Science. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here . Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
11/09/2026
Full time
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. About the Role Internal Job Title: Senior Expert I/II, Data Science Position Location : Cambridge, MA, hybrid This role is based in Cambridge, MA. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you. Job description Summary: The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. Responsibilities: Translate scientific and operational AI needs into impactful, decision-enabling solutions. Hands-on design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products. Scale AI workflows using reproducible, transparent, secure, and FAIR data practices. Prioritize resources against evolving research needs. Establish rigorous project evaluation, deployment, lifecycle, and governance practices. Mentor, train and coach wet lab scientists, data scientists, engineers, and cross-functional teams. Provide oversight and onboarding of external vendors and service providers. Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Requirements : PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience. We will also consider qualified MS degree applicants with 5+ years of relevant post-graduate experience. 3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms. Demonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products. Deep practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS). Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization. Strong communication, interpersonal, ethical, self-awareness, and customer service skills. Compensation & Benefits: The salary for this position is expected to range between $126,000 and $234,000 USD annually for Senior Expert I, Data Science, and $138,600 and $257,400 USD annually for Senior Expert II, Data Science. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here . Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Job Responsibilities Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Job Requirements AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Education Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
11/09/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Job Responsibilities Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Job Requirements AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Education Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Distinguished Engineer - AI Infrastructure We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Core Expertise Required: AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Job Requirements About the team ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. What will you do: Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
11/09/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Distinguished Engineer - AI Infrastructure We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Core Expertise Required: AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Job Requirements About the team ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. What will you do: Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science, are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizational transformation, we want you to lead our future. What you will do: Acts as an enterprise AI thought leader and strategic advisor, shaping how the organization leverages generative AI, LLMs, and agentic workflows to drive competitive advantage and market differentiation. Influences business, data, and technology executives to invest in, scale, and future-proof enterprise-wide horizontal AI capabilities through active participation in strategy, planning, and budgeting. Directs and empowers a team of AI/Data Scientists and engineers to build and deploy scalable LLM applications, RAG pipelines, and autonomous agent systems in a fast-paced, agile environment. Architecturally guides the team from ideation to performant production solutions, optimizing the AI lifecycle from prompt engineering and context management to model evaluation and inference cost-efficiency. Champions the creation of modular, reusable horizontal AI capabilities and services that can be leveraged horizontally across disparate business units to solve complex challenges. Partners closely with Enterprise Architecture and IT to establish modern AI infrastructure, tooling pipelines, and scalable cloud/on-premise deployment standards. Ensures all AI models, agentic workflows, and generative solutions strictly adhere to emerging AI safety guidelines, model risk management (MRM) frameworks, data governance, and regulatory compliance. Identifies and secures strategic resource needs, ranging from next-gen LLM API integrations and specialized 3rd-party toolsets to specialized hardware and talent investments. Builds, inspires, and scales a world-class team of AI talent through intentional recruiting, technical mentorship, coaching, and performance management. Ensures risks associated with AI operations (e.g., hallucinations, data leakage, security vulnerabilities, and autonomous agent drift) are effectively identified, measured, monitored, and controlled. What you have: 8+ years of progressive experience in machine learning, advanced data science, and AI development-with a strong recent emphasis on deploying Generative AI, LLMs, or agentic systems to production-OR an Advanced Degree (Master's or PhD) in Computer Science, AI, Data Science, or a quantitative STEM field with 6+ years of relevant experience. 3+ years of direct people leadership experience, building, managing, and inspiring high-performing technical teams in rapidly evolving tech landscapes. Proven track record of architecting and delivering scalable, high-performance horizontal AI platforms or reusable capabilities that drive cross-enterprise transformation. Exceptional strategic agility and flexibility, with a demonstrated history of successfully pivoting technical strategies and teams in response to rapid paradigm shifts in the AI ecosystem. Deep technical background in modern AI frameworks and methodologies (e.g., LangChain, LlamaIndex, vector databases, fine-tuning, RAG architectures, prompt engineering patterns, and multi-agent orchestration). Comprehensive understanding of AI governance, risk mitigation (guardrails, prompt injection defense, alignment), model risk policies, and compliance expectations for automated and autonomous systems. Exceptional executive communication skills; a proven track record of translating complex AI architectures, ROI metrics, and technical roadmaps into compelling narratives for Senior Executive Management and non-technical stakeholders. Compensation range: The salary range for this position is: $189,370 - $361,950 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
11/08/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science, are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizational transformation, we want you to lead our future. What you will do: Acts as an enterprise AI thought leader and strategic advisor, shaping how the organization leverages generative AI, LLMs, and agentic workflows to drive competitive advantage and market differentiation. Influences business, data, and technology executives to invest in, scale, and future-proof enterprise-wide horizontal AI capabilities through active participation in strategy, planning, and budgeting. Directs and empowers a team of AI/Data Scientists and engineers to build and deploy scalable LLM applications, RAG pipelines, and autonomous agent systems in a fast-paced, agile environment. Architecturally guides the team from ideation to performant production solutions, optimizing the AI lifecycle from prompt engineering and context management to model evaluation and inference cost-efficiency. Champions the creation of modular, reusable horizontal AI capabilities and services that can be leveraged horizontally across disparate business units to solve complex challenges. Partners closely with Enterprise Architecture and IT to establish modern AI infrastructure, tooling pipelines, and scalable cloud/on-premise deployment standards. Ensures all AI models, agentic workflows, and generative solutions strictly adhere to emerging AI safety guidelines, model risk management (MRM) frameworks, data governance, and regulatory compliance. Identifies and secures strategic resource needs, ranging from next-gen LLM API integrations and specialized 3rd-party toolsets to specialized hardware and talent investments. Builds, inspires, and scales a world-class team of AI talent through intentional recruiting, technical mentorship, coaching, and performance management. Ensures risks associated with AI operations (e.g., hallucinations, data leakage, security vulnerabilities, and autonomous agent drift) are effectively identified, measured, monitored, and controlled. What you have: 8+ years of progressive experience in machine learning, advanced data science, and AI development-with a strong recent emphasis on deploying Generative AI, LLMs, or agentic systems to production-OR an Advanced Degree (Master's or PhD) in Computer Science, AI, Data Science, or a quantitative STEM field with 6+ years of relevant experience. 3+ years of direct people leadership experience, building, managing, and inspiring high-performing technical teams in rapidly evolving tech landscapes. Proven track record of architecting and delivering scalable, high-performance horizontal AI platforms or reusable capabilities that drive cross-enterprise transformation. Exceptional strategic agility and flexibility, with a demonstrated history of successfully pivoting technical strategies and teams in response to rapid paradigm shifts in the AI ecosystem. Deep technical background in modern AI frameworks and methodologies (e.g., LangChain, LlamaIndex, vector databases, fine-tuning, RAG architectures, prompt engineering patterns, and multi-agent orchestration). Comprehensive understanding of AI governance, risk mitigation (guardrails, prompt injection defense, alignment), model risk policies, and compliance expectations for automated and autonomous systems. Exceptional executive communication skills; a proven track record of translating complex AI architectures, ROI metrics, and technical roadmaps into compelling narratives for Senior Executive Management and non-technical stakeholders. Compensation range: The salary range for this position is: $189,370 - $361,950 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
11/08/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science, are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizational transformation, we want you to lead our future. What you will do: Acts as an enterprise AI thought leader and strategic advisor, shaping how the organization leverages generative AI, LLMs, and agentic workflows to drive competitive advantage and market differentiation. Influences business, data, and technology executives to invest in, scale, and future-proof enterprise-wide horizontal AI capabilities through active participation in strategy, planning, and budgeting. Directs and empowers a team of AI/Data Scientists and engineers to build and deploy scalable LLM applications, RAG pipelines, and autonomous agent systems in a fast-paced, agile environment. Architecturally guides the team from ideation to performant production solutions, optimizing the AI lifecycle from prompt engineering and context management to model evaluation and inference cost-efficiency. Champions the creation of modular, reusable horizontal AI capabilities and services that can be leveraged horizontally across disparate business units to solve complex challenges. Partners closely with Enterprise Architecture and IT to establish modern AI infrastructure, tooling pipelines, and scalable cloud/on-premise deployment standards. Ensures all AI models, agentic workflows, and generative solutions strictly adhere to emerging AI safety guidelines, model risk management (MRM) frameworks, data governance, and regulatory compliance. Identifies and secures strategic resource needs, ranging from next-gen LLM API integrations and specialized 3rd-party toolsets to specialized hardware and talent investments. Builds, inspires, and scales a world-class team of AI talent through intentional recruiting, technical mentorship, coaching, and performance management. Ensures risks associated with AI operations (e.g., hallucinations, data leakage, security vulnerabilities, and autonomous agent drift) are effectively identified, measured, monitored, and controlled. What you have: 8+ years of progressive experience in machine learning, advanced data science, and AI development-with a strong recent emphasis on deploying Generative AI, LLMs, or agentic systems to production-OR an Advanced Degree (Master's or PhD) in Computer Science, AI, Data Science, or a quantitative STEM field with 6+ years of relevant experience. 3+ years of direct people leadership experience, building, managing, and inspiring high-performing technical teams in rapidly evolving tech landscapes. Proven track record of architecting and delivering scalable, high-performance horizontal AI platforms or reusable capabilities that drive cross-enterprise transformation. Exceptional strategic agility and flexibility, with a demonstrated history of successfully pivoting technical strategies and teams in response to rapid paradigm shifts in the AI ecosystem. Deep technical background in modern AI frameworks and methodologies (e.g., LangChain, LlamaIndex, vector databases, fine-tuning, RAG architectures, prompt engineering patterns, and multi-agent orchestration). Comprehensive understanding of AI governance, risk mitigation (guardrails, prompt injection defense, alignment), model risk policies, and compliance expectations for automated and autonomous systems. Exceptional executive communication skills; a proven track record of translating complex AI architectures, ROI metrics, and technical roadmaps into compelling narratives for Senior Executive Management and non-technical stakeholders. Compensation range: The salary range for this position is: $189,370 - $361,950 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
11/08/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science, are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizational transformation, we want you to lead our future. What you will do: Acts as an enterprise AI thought leader and strategic advisor, shaping how the organization leverages generative AI, LLMs, and agentic workflows to drive competitive advantage and market differentiation. Influences business, data, and technology executives to invest in, scale, and future-proof enterprise-wide horizontal AI capabilities through active participation in strategy, planning, and budgeting. Directs and empowers a team of AI/Data Scientists and engineers to build and deploy scalable LLM applications, RAG pipelines, and autonomous agent systems in a fast-paced, agile environment. Architecturally guides the team from ideation to performant production solutions, optimizing the AI lifecycle from prompt engineering and context management to model evaluation and inference cost-efficiency. Champions the creation of modular, reusable horizontal AI capabilities and services that can be leveraged horizontally across disparate business units to solve complex challenges. Partners closely with Enterprise Architecture and IT to establish modern AI infrastructure, tooling pipelines, and scalable cloud/on-premise deployment standards. Ensures all AI models, agentic workflows, and generative solutions strictly adhere to emerging AI safety guidelines, model risk management (MRM) frameworks, data governance, and regulatory compliance. Identifies and secures strategic resource needs, ranging from next-gen LLM API integrations and specialized 3rd-party toolsets to specialized hardware and talent investments. Builds, inspires, and scales a world-class team of AI talent through intentional recruiting, technical mentorship, coaching, and performance management. Ensures risks associated with AI operations (e.g., hallucinations, data leakage, security vulnerabilities, and autonomous agent drift) are effectively identified, measured, monitored, and controlled. What you have: 8+ years of progressive experience in machine learning, advanced data science, and AI development-with a strong recent emphasis on deploying Generative AI, LLMs, or agentic systems to production-OR an Advanced Degree (Master's or PhD) in Computer Science, AI, Data Science, or a quantitative STEM field with 6+ years of relevant experience. 3+ years of direct people leadership experience, building, managing, and inspiring high-performing technical teams in rapidly evolving tech landscapes. Proven track record of architecting and delivering scalable, high-performance horizontal AI platforms or reusable capabilities that drive cross-enterprise transformation. Exceptional strategic agility and flexibility, with a demonstrated history of successfully pivoting technical strategies and teams in response to rapid paradigm shifts in the AI ecosystem. Deep technical background in modern AI frameworks and methodologies (e.g., LangChain, LlamaIndex, vector databases, fine-tuning, RAG architectures, prompt engineering patterns, and multi-agent orchestration). Comprehensive understanding of AI governance, risk mitigation (guardrails, prompt injection defense, alignment), model risk policies, and compliance expectations for automated and autonomous systems. Exceptional executive communication skills; a proven track record of translating complex AI architectures, ROI metrics, and technical roadmaps into compelling narratives for Senior Executive Management and non-technical stakeholders. Compensation range: The salary range for this position is: $189,370 - $361,950 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
11/08/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.
Job Description Job Description Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Skills Preferred: N/A Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3 years building production software systems, including 1 2 years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks LangGraph, CrewAI, LlamaIndex, or equivalent for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: 1. Experience with cost optimization and model routing designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. 2. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. 3. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. 4. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. 5. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Hybrid 4 days a week onsite Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.
11/08/2026
Full time
Job Description Job Description Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Skills Preferred: N/A Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3 years building production software systems, including 1 2 years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks LangGraph, CrewAI, LlamaIndex, or equivalent for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: 1. Experience with cost optimization and model routing designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. 2. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. 3. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. 4. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. 5. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Hybrid 4 days a week onsite Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Want to work on some of the most advanced aerospace systems on the planet? Join a team building next generation fighters, trainers, and avionics. Boeing Defense, Space & Security (BDS) Air Dominance has an exciting opportunity for a Senior Vehicle Management System (VMS) Requirements Engineer to join the VMS Requirements team located in Hazelwood, MO. Propelled by a team with an innovative spirit that transcends cultures, BDS Air Dominance delivers decisive mission advantages through cutting-edge capabilities and supports design, manufacturing, and services for a broad portfolio of military aircraft. These roles will support new product design, development, integration, and flight test for the expanding Air Dominance portfolio, including newly awarded proprietary air dominance platforms. Join the VMS Requirements team to work across disciplines and help us design elements of the VMS Software Application. You will collaborate with our hardware, software, and labs teams to implement and test your designs. Guidance, Navigation and Control (GNC), Electrical, Mechanical, Aerospace, and other engineers are all welcome - to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to an exciting new aircraft development program in the St. Louis area. Boeing is the world's largest aerospace company. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers, and for the world. Position Responsibilities Develop software requirements and design for a Vehicle Management System (VMS) Apply model-based system engineering techniques to design and verify system requirements Interpret requirements to formulate and test mathematical models Work with subject matter experts, design solutions for a variety of capabilities such as airplane subsystems (i.e. actuation), signal processing, redundancy management, system monitoring, and controls Coordinate and integrate requirements across engineering disciplines Verify and validate software against designed requirements in virtual and hardware test environments Conduct analysis to support certification of a Vehicle Management System Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 9+ years work-related experience with a Bachelors degree OR an equivalent combination of work-related experience and technical education. Preferred Qualifications (Desired Skills and Experience): Engineering experience with Vehicle Management Systems Experience with modeling and simulation Experience in Matlab/Simulink/Stateflow Experience with software requirements, software design, hardware/software integration and testing Knowledge of VMS design activities (HW/SW design, integration, modeling, and test procedure development) Knowledge of air vehicle subsystems control architecture Knowledge of air vehicle flight control systems Experience with Microsoft Visio, Clearcase, C++, C#, Visual Studio, Python An active Secret clearance is highly desirable Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $142,800 - $193,200 Applications for this position will be accepted until Nov. 19, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Want to work on some of the most advanced aerospace systems on the planet? Join a team building next generation fighters, trainers, and avionics. Boeing Defense, Space & Security (BDS) Air Dominance has an exciting opportunity for a Senior Vehicle Management System (VMS) Requirements Engineer to join the VMS Requirements team located in Hazelwood, MO. Propelled by a team with an innovative spirit that transcends cultures, BDS Air Dominance delivers decisive mission advantages through cutting-edge capabilities and supports design, manufacturing, and services for a broad portfolio of military aircraft. These roles will support new product design, development, integration, and flight test for the expanding Air Dominance portfolio, including newly awarded proprietary air dominance platforms. Join the VMS Requirements team to work across disciplines and help us design elements of the VMS Software Application. You will collaborate with our hardware, software, and labs teams to implement and test your designs. Guidance, Navigation and Control (GNC), Electrical, Mechanical, Aerospace, and other engineers are all welcome - to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to an exciting new aircraft development program in the St. Louis area. Boeing is the world's largest aerospace company. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers, and for the world. Position Responsibilities Develop software requirements and design for a Vehicle Management System (VMS) Apply model-based system engineering techniques to design and verify system requirements Interpret requirements to formulate and test mathematical models Work with subject matter experts, design solutions for a variety of capabilities such as airplane subsystems (i.e. actuation), signal processing, redundancy management, system monitoring, and controls Coordinate and integrate requirements across engineering disciplines Verify and validate software against designed requirements in virtual and hardware test environments Conduct analysis to support certification of a Vehicle Management System Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 9+ years work-related experience with a Bachelors degree OR an equivalent combination of work-related experience and technical education. Preferred Qualifications (Desired Skills and Experience): Engineering experience with Vehicle Management Systems Experience with modeling and simulation Experience in Matlab/Simulink/Stateflow Experience with software requirements, software design, hardware/software integration and testing Knowledge of VMS design activities (HW/SW design, integration, modeling, and test procedure development) Knowledge of air vehicle subsystems control architecture Knowledge of air vehicle flight control systems Experience with Microsoft Visio, Clearcase, C++, C#, Visual Studio, Python An active Secret clearance is highly desirable Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $142,800 - $193,200 Applications for this position will be accepted until Nov. 19, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
