Job Description Job Description Job Title: Principal Data Scientist, Digital Innovation and Predictive Formulations Primary Location: 3 -Days Hybrid in Bridgewater, NJ Position Type: Direct Hire Overview TalentFish is seeking a Principal Data Scientist, Digital Innovation and Predictive Formulations to lead the technical strategy, architecture, and execution of advanced data science capabilities for a global food and ingredient innovation organization. This principal-level professional will design and scale an adaptive data lakehouse and analytical framework that transforms complex scientific and formulation data into actionable insights. The individual will help food scientists and product formulators use data to improve ingredient selection, guide experimentation, develop predictive formulations, and accelerate customer-focused product innovation. This is a highly visible, hands-on technical leadership role for someone who can establish a long-term data science vision, build production-ready machine learning capabilities, advise business and technical leaders, and mentor other data scientists. The Principal Data Scientist reports to the Director of Digital Innovation. What You'll Do Lead the design and implementation of a robust, scalable data framework that can evolve with the organization's innovation and product-development needs. Architect and scale a dynamic data lakehouse and democratized analytical layer within the Google Cloud ecosystem. Create data capabilities that support ingredient selection, predictive formulation, scientific experimentation, and customer-focused product innovation. Partner with engineering and technical teams to establish scalable machine learning pipelines that can adapt quickly to emerging business and scientific challenges. Develop, validate, deploy, and continuously improve machine learning models aligned with evolving business needs. Apply advanced statistical and machine learning techniques to complex, real-world business and product-development challenges. Translate business and scientific questions into structured analytical problems and data-driven solutions. Identify and prioritize high-value data science and AI use cases in partnership with digital innovation leadership. Demonstrate the measurable business value, insight, and impact delivered by data science initiatives. Establish the long-term technical vision for predictive modeling, data science, analytics, and supporting data architecture. Serve as a trusted technical advisor to business leaders, scientific teams, data professionals, and other stakeholders. Communicate complex technical concepts clearly to technical, business, scientific, and nontechnical audiences. Mentor and develop data scientists while fostering a culture of technical excellence, curiosity, collaboration, and continuous improvement. Evaluate emerging capabilities, including generative AI, machine learning platforms, and advanced modeling techniques. Balance multiple opportunities while prioritizing initiatives based on measurable outcomes, business value, and key performance indicators. What You'll Bring Significant professional experience in predictive modeling, data science, statistical analysis, and advanced analytics. Demonstrated ability to establish a long-term technical vision and successfully execute that vision through production implementation. Proven delivery of multiple major data science initiatives that generated measurable value and actionable insight for business stakeholders. Experience translating ambiguous business or scientific questions into analytical approaches and practical solutions using available data. Strong experience designing, building, or scaling enterprise data frameworks, analytical environments, or data lakehouse architectures. Experience developing and deploying scalable machine learning models and production machine learning pipelines. Strong programming and data scripting skills using Python and SQL . Advanced knowledge of statistical methods, predictive modeling, machine learning, and analytical experimentation. Experience with advanced modeling approaches such as Bayesian inference . Strong understanding of data architecture, analytical layers, model deployment, and the operational requirements needed to move data science solutions into production. Experience working within a cloud-based data and analytics environment. A bachelor's degree or advanced degree in data science, statistics, mathematics, computer science, engineering, or another relevant quantitative field. Principal-level technical leadership skills with the ability to influence strategy without relying solely on formal authority. Exceptional stakeholder management, collaboration, presentation, and communication skills. Demonstrated ability to mentor technical professionals and support their continued development. A results-oriented approach focused on measurable value, business outcomes, and key performance indicators. Highly Preferred Qualifications Strong hands-on experience within the Google Cloud ecosystem . Experience architecting or scaling a Google Cloud data lakehouse and analytical layer . Background supporting food science, food product development, ingredient solutions, formulation science, chemicals, consumer products, or another scientific research and development environment. Experience applying data science to ingredient selection, formulation optimization, experimentation, or product innovation. Familiarity with generative AI, modern machine learning platforms, and emerging advanced modeling techniques. Experience working with global and cross-functional groups that include data scientists, engineers, business leaders, researchers, formulators, or scientific professionals. Ideal Candidate Profile The strongest candidate will combine three capabilities: Principal-level data science leadership: Someone who has established technical strategy and delivered multiple high-impact data science initiatives from concept through measurable business results. Data and machine learning architecture: Someone capable of designing a scalable Google Cloud data lakehouse, analytical layer, and production machine learning pipelines rather than focusing only on individual models. Scientific and business partnership: Someone who can work effectively with scientists, product-development professionals, engineers, and executives while translating complex technical concepts into clear business value. This individual should be visionary, intellectually curious, collaborative, comfortable mentoring others, and equally capable of strategic thinking and hands-on technical execution. Compensation Information The expected salary range for this position is $123,000 - $164,700 per year, depending on experience and qualifications. This role also qualifies for comprehensive benefits such as health insurance, 401(k), and paid time off. TalentFish is committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations. This role requires authorization to work in the U.S. without current or future visa sponsorship. All offers are contingent upon the completion of a background check, which may include but is not limited to reference checks, education verification, employment verification, drug testing, criminal records checks, and any required certifications or compliance requirements based on the end client's background check policies and applicable laws. TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI, video screening, and our unique platform. TalentFish focuses on providing the best employee, consultant, and client experience possible. At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity!
11/12/2026
Full time
Job Description Job Description Job Title: Principal Data Scientist, Digital Innovation and Predictive Formulations Primary Location: 3 -Days Hybrid in Bridgewater, NJ Position Type: Direct Hire Overview TalentFish is seeking a Principal Data Scientist, Digital Innovation and Predictive Formulations to lead the technical strategy, architecture, and execution of advanced data science capabilities for a global food and ingredient innovation organization. This principal-level professional will design and scale an adaptive data lakehouse and analytical framework that transforms complex scientific and formulation data into actionable insights. The individual will help food scientists and product formulators use data to improve ingredient selection, guide experimentation, develop predictive formulations, and accelerate customer-focused product innovation. This is a highly visible, hands-on technical leadership role for someone who can establish a long-term data science vision, build production-ready machine learning capabilities, advise business and technical leaders, and mentor other data scientists. The Principal Data Scientist reports to the Director of Digital Innovation. What You'll Do Lead the design and implementation of a robust, scalable data framework that can evolve with the organization's innovation and product-development needs. Architect and scale a dynamic data lakehouse and democratized analytical layer within the Google Cloud ecosystem. Create data capabilities that support ingredient selection, predictive formulation, scientific experimentation, and customer-focused product innovation. Partner with engineering and technical teams to establish scalable machine learning pipelines that can adapt quickly to emerging business and scientific challenges. Develop, validate, deploy, and continuously improve machine learning models aligned with evolving business needs. Apply advanced statistical and machine learning techniques to complex, real-world business and product-development challenges. Translate business and scientific questions into structured analytical problems and data-driven solutions. Identify and prioritize high-value data science and AI use cases in partnership with digital innovation leadership. Demonstrate the measurable business value, insight, and impact delivered by data science initiatives. Establish the long-term technical vision for predictive modeling, data science, analytics, and supporting data architecture. Serve as a trusted technical advisor to business leaders, scientific teams, data professionals, and other stakeholders. Communicate complex technical concepts clearly to technical, business, scientific, and nontechnical audiences. Mentor and develop data scientists while fostering a culture of technical excellence, curiosity, collaboration, and continuous improvement. Evaluate emerging capabilities, including generative AI, machine learning platforms, and advanced modeling techniques. Balance multiple opportunities while prioritizing initiatives based on measurable outcomes, business value, and key performance indicators. What You'll Bring Significant professional experience in predictive modeling, data science, statistical analysis, and advanced analytics. Demonstrated ability to establish a long-term technical vision and successfully execute that vision through production implementation. Proven delivery of multiple major data science initiatives that generated measurable value and actionable insight for business stakeholders. Experience translating ambiguous business or scientific questions into analytical approaches and practical solutions using available data. Strong experience designing, building, or scaling enterprise data frameworks, analytical environments, or data lakehouse architectures. Experience developing and deploying scalable machine learning models and production machine learning pipelines. Strong programming and data scripting skills using Python and SQL . Advanced knowledge of statistical methods, predictive modeling, machine learning, and analytical experimentation. Experience with advanced modeling approaches such as Bayesian inference . Strong understanding of data architecture, analytical layers, model deployment, and the operational requirements needed to move data science solutions into production. Experience working within a cloud-based data and analytics environment. A bachelor's degree or advanced degree in data science, statistics, mathematics, computer science, engineering, or another relevant quantitative field. Principal-level technical leadership skills with the ability to influence strategy without relying solely on formal authority. Exceptional stakeholder management, collaboration, presentation, and communication skills. Demonstrated ability to mentor technical professionals and support their continued development. A results-oriented approach focused on measurable value, business outcomes, and key performance indicators. Highly Preferred Qualifications Strong hands-on experience within the Google Cloud ecosystem . Experience architecting or scaling a Google Cloud data lakehouse and analytical layer . Background supporting food science, food product development, ingredient solutions, formulation science, chemicals, consumer products, or another scientific research and development environment. Experience applying data science to ingredient selection, formulation optimization, experimentation, or product innovation. Familiarity with generative AI, modern machine learning platforms, and emerging advanced modeling techniques. Experience working with global and cross-functional groups that include data scientists, engineers, business leaders, researchers, formulators, or scientific professionals. Ideal Candidate Profile The strongest candidate will combine three capabilities: Principal-level data science leadership: Someone who has established technical strategy and delivered multiple high-impact data science initiatives from concept through measurable business results. Data and machine learning architecture: Someone capable of designing a scalable Google Cloud data lakehouse, analytical layer, and production machine learning pipelines rather than focusing only on individual models. Scientific and business partnership: Someone who can work effectively with scientists, product-development professionals, engineers, and executives while translating complex technical concepts into clear business value. This individual should be visionary, intellectually curious, collaborative, comfortable mentoring others, and equally capable of strategic thinking and hands-on technical execution. Compensation Information The expected salary range for this position is $123,000 - $164,700 per year, depending on experience and qualifications. This role also qualifies for comprehensive benefits such as health insurance, 401(k), and paid time off. TalentFish is committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations. This role requires authorization to work in the U.S. without current or future visa sponsorship. All offers are contingent upon the completion of a background check, which may include but is not limited to reference checks, education verification, employment verification, drug testing, criminal records checks, and any required certifications or compliance requirements based on the end client's background check policies and applicable laws. TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI, video screening, and our unique platform. TalentFish focuses on providing the best employee, consultant, and client experience possible. At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity!
Job Description Job Description Principal Data Scientist - Remote, AI, Machine Learning, Fraud Detection & Risk Modeling Remote position available to candidates residing in Georgia, South Carolina, North Carolina, Florida, or Tennessee. Preference given to candidates located near our Augusta, GA or Charlotte, NC operations. Principal Data Scientist, Artificial Intelligence (AI), Machine Learning, Fraud Detection, Risk Modeling, Generative AI, Large Language Models (LLMs), Predictive Analytics, MLOps, Python, SQL, Snowflake, Databricks. Who we are: At TaxSlayer, we're more than just a tax software development company; we're empowering individuals and small businesses to plan for and file their tax returns online with confidence and ease. As a leading innovator in tax prep software, TaxSlayer, LLC, has been revolutionizing the way people file their taxes since 1965. Our user-friendly platform offers an intuitive interface that guides customers through the tax-filing process step by step, ensuring accuracy and maximum refunds. TaxSlayer is headquartered in Augusta, GA with a satellite office in Charlotte, NC. TaxSlayer proudly employs nearly 200 individuals year-round, plus 300 additional in-season support agents. Our employees are among the brightest, most talented group of innovators who work collaboratively to improve our products and exceed customer expectations season after season. Are you a TaxSlayer? Job Summary The Principal Data Scientist is a senior technical leader who drives advanced machine learning and data science initiatives across the organization. This role combines hands-on technical expertise with strategic influence. The Principal Data Scientist owns end-to-end delivery of complex ML projects, presents recommendations to leadership, leads technical discussions, and serves as the recognized authority on modeling approaches. The role partners cross-functionally with Product, Engineering, Finance, and Marketing to define and solve high-impact business problems, with particular focus on fraud detection, customer intelligence, and risk modeling. Core Responsibilities Own end-to-end delivery of strategic, high-impact data science projects from problem definition through production deployment, monitoring, and optimization. Lead scoping discussions and present project results as subject-matter authority. Develop and deploy advanced machine learning models for fraud detection, risk assessment, anomaly detection, customer segmentation, and churn prediction. Build real-time scoring pipelines, ensure production reliability, and present model design choices as the authority on their technical merits. Lead fraud detection initiatives, designing detection algorithms, collaborating with compliance and investigation teams, and continuously improving model performance as fraud patterns evolve. Evaluate and apply emerging AI and machine learning technologies, including large language models (LLMs), generative AI, and agentic systems, to enhance product capabilities and competitive advantage. Define and document best practices for model development, testing, and deployment, and present them to stakeholders as the authority on the subject. Design and build scalable data pipelines, feature engineering frameworks, and reusable modeling infrastructure that accelerate model development and deployment across the organization. Monitor model performance, data quality, and business outcomes in production. Identify degradation, troubleshoot issues, drive continuous improvements, and present findings while leading discussions on remediation priorities. Partner with Product, Engineering, Finance, and Marketing teams to define analytical requirements, establish success metrics, and deliver recommendations that drive strategic decision-making. Present complex analytical findings and strategic recommendations to executive leadership and business stakeholders with clarity and confidence. Communicate technical concepts to diverse audiences and drive adoption of data-driven strategies. Ensure all models and analytical processes comply with regulatory, privacy, security, and governance requirements. Collaborate with compliance and legal teams as needed. Stay current on emerging data science, ML, and AI trends. Identify, prototype, and recommend innovations that improve customer experience and competitive position. Contribute to documentation, best practices, architectural decisions, and reusable code libraries that strengthen the organization's data science capabilities. Your Impact in This Role Successful deployment and adoption of advanced ML models that generate measurable business impact (fraud reduction, conversion improvement, risk mitigation, operational efficiency), with results presented clearly to leadership. Demonstrated ability to identify and execute high-impact strategic initiatives independently with minimal direction or coaching, and to lead discussions that align stakeholders on priorities. Clear, confident communication and presentation of complex technical concepts to executives and stakeholders; proven ability to lead discussions, serve as the authority in the room, and influence decisions. Improved data science processes, tooling, and infrastructure that reduce time-to-model and accelerate deployment cycles. Required Qualifications Education & Experience: Master's or PhD degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, Physics) or equivalent 8+ years of hands-on industry experience as a Data Scientist, Machine Learning Engineer, or similar role, with experience presenting complex work to senior audiences. Demonstrated success leading multiple end-to-end machine learning projects from ideation through production deployment and monitoring, including presenting outcomes and leading project discussions with stakeholders. Proven track record of self-initiated, high-impact projects executed with full ownership and minimal oversight. Skills & Competencies: Very high proficiency in multiple machine learning methods: supervised learning, unsupervised learning, and deep learning. Able to lead method-selection discussions as the subject matter expert. Advanced expertise in SQL and Python; strong software engineering fundamentals including version control, testing, code design, and distributed systems concepts. Strong proficiency in AI technologies, including experience evaluating, fine-tuning, or deploying large language models (LLMs) and generative AI systems in production. Strong experience with modern ML operations (MLOps), model deployment, monitoring, and serving in production environments; hands-on familiarity with cloud platforms (Snowflake, Databricks, AWS, GCP, or Azure). Strong understanding of statistical analysis, experimentation design, A/B testing, hypothesis testing, and causal inference methodologies. Experience building real-time or near-real-time scoring systems and production ML pipelines. Excellent communication skills: ability to explain complex technical concepts clearly to both technical and non-technical audiences. Strong presentation skills and ability to lead discussions without heavy coaching. Strong cross-functional collaboration and stakeholder management skills. Comfortable influencing decisions and driving adoption across Product, Engineering, Finance, and business teams. Preferred Qualifications: Experience in financial services, tax preparation, SaaS, fintech, or e-commerce industries. Hands-on experience building fraud detection, anomaly detection, or risk modeling systems. Physical & Work Environment Requirements This is a fully remote role (US-based only). Occasional travel within US is required for team collaboration, strategy sessions, and business meetings (estimated 4-6 times per year). Work is performed in a standard office environment with remote flexibility. Must be able to work at a computer for extended periods. What we offer: At TaxSlayer we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive, and flexible benefits program. We offer flexible remote and/or hybrid work options when possible, depending on the role. Exempt Salaried employees receive a generous PTO bank, in addition to Paid Holidays. Insurance: Medical, Dental, and Vision insurance offerings from Aetna and SunLife. Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. 401K with 150% match on up to 3% contribution Performance-based bonus and salary review process Other offerings: Wellness Program, Life Insurance for employee, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Education Assistance, company-paid parking, on-site fitness facility, and a company store. Apply today and don't forget to opt in for text updates from our recruiting team! Please note: As a federal contractor, we are responsible to ensure our employees meet any obligations set forth by the U.S. government. We will inform you of any applicable requirements as they arise. Legal Disclaimers TaxSlayer is an equal opportunity employer and complies with all applicable laws regarding discrimination. Employment is based on qualifications, merit, and business need. . click apply for full job details
11/12/2026
Full time
Job Description Job Description Principal Data Scientist - Remote, AI, Machine Learning, Fraud Detection & Risk Modeling Remote position available to candidates residing in Georgia, South Carolina, North Carolina, Florida, or Tennessee. Preference given to candidates located near our Augusta, GA or Charlotte, NC operations. Principal Data Scientist, Artificial Intelligence (AI), Machine Learning, Fraud Detection, Risk Modeling, Generative AI, Large Language Models (LLMs), Predictive Analytics, MLOps, Python, SQL, Snowflake, Databricks. Who we are: At TaxSlayer, we're more than just a tax software development company; we're empowering individuals and small businesses to plan for and file their tax returns online with confidence and ease. As a leading innovator in tax prep software, TaxSlayer, LLC, has been revolutionizing the way people file their taxes since 1965. Our user-friendly platform offers an intuitive interface that guides customers through the tax-filing process step by step, ensuring accuracy and maximum refunds. TaxSlayer is headquartered in Augusta, GA with a satellite office in Charlotte, NC. TaxSlayer proudly employs nearly 200 individuals year-round, plus 300 additional in-season support agents. Our employees are among the brightest, most talented group of innovators who work collaboratively to improve our products and exceed customer expectations season after season. Are you a TaxSlayer? Job Summary The Principal Data Scientist is a senior technical leader who drives advanced machine learning and data science initiatives across the organization. This role combines hands-on technical expertise with strategic influence. The Principal Data Scientist owns end-to-end delivery of complex ML projects, presents recommendations to leadership, leads technical discussions, and serves as the recognized authority on modeling approaches. The role partners cross-functionally with Product, Engineering, Finance, and Marketing to define and solve high-impact business problems, with particular focus on fraud detection, customer intelligence, and risk modeling. Core Responsibilities Own end-to-end delivery of strategic, high-impact data science projects from problem definition through production deployment, monitoring, and optimization. Lead scoping discussions and present project results as subject-matter authority. Develop and deploy advanced machine learning models for fraud detection, risk assessment, anomaly detection, customer segmentation, and churn prediction. Build real-time scoring pipelines, ensure production reliability, and present model design choices as the authority on their technical merits. Lead fraud detection initiatives, designing detection algorithms, collaborating with compliance and investigation teams, and continuously improving model performance as fraud patterns evolve. Evaluate and apply emerging AI and machine learning technologies, including large language models (LLMs), generative AI, and agentic systems, to enhance product capabilities and competitive advantage. Define and document best practices for model development, testing, and deployment, and present them to stakeholders as the authority on the subject. Design and build scalable data pipelines, feature engineering frameworks, and reusable modeling infrastructure that accelerate model development and deployment across the organization. Monitor model performance, data quality, and business outcomes in production. Identify degradation, troubleshoot issues, drive continuous improvements, and present findings while leading discussions on remediation priorities. Partner with Product, Engineering, Finance, and Marketing teams to define analytical requirements, establish success metrics, and deliver recommendations that drive strategic decision-making. Present complex analytical findings and strategic recommendations to executive leadership and business stakeholders with clarity and confidence. Communicate technical concepts to diverse audiences and drive adoption of data-driven strategies. Ensure all models and analytical processes comply with regulatory, privacy, security, and governance requirements. Collaborate with compliance and legal teams as needed. Stay current on emerging data science, ML, and AI trends. Identify, prototype, and recommend innovations that improve customer experience and competitive position. Contribute to documentation, best practices, architectural decisions, and reusable code libraries that strengthen the organization's data science capabilities. Your Impact in This Role Successful deployment and adoption of advanced ML models that generate measurable business impact (fraud reduction, conversion improvement, risk mitigation, operational efficiency), with results presented clearly to leadership. Demonstrated ability to identify and execute high-impact strategic initiatives independently with minimal direction or coaching, and to lead discussions that align stakeholders on priorities. Clear, confident communication and presentation of complex technical concepts to executives and stakeholders; proven ability to lead discussions, serve as the authority in the room, and influence decisions. Improved data science processes, tooling, and infrastructure that reduce time-to-model and accelerate deployment cycles. Required Qualifications Education & Experience: Master's or PhD degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, Physics) or equivalent 8+ years of hands-on industry experience as a Data Scientist, Machine Learning Engineer, or similar role, with experience presenting complex work to senior audiences. Demonstrated success leading multiple end-to-end machine learning projects from ideation through production deployment and monitoring, including presenting outcomes and leading project discussions with stakeholders. Proven track record of self-initiated, high-impact projects executed with full ownership and minimal oversight. Skills & Competencies: Very high proficiency in multiple machine learning methods: supervised learning, unsupervised learning, and deep learning. Able to lead method-selection discussions as the subject matter expert. Advanced expertise in SQL and Python; strong software engineering fundamentals including version control, testing, code design, and distributed systems concepts. Strong proficiency in AI technologies, including experience evaluating, fine-tuning, or deploying large language models (LLMs) and generative AI systems in production. Strong experience with modern ML operations (MLOps), model deployment, monitoring, and serving in production environments; hands-on familiarity with cloud platforms (Snowflake, Databricks, AWS, GCP, or Azure). Strong understanding of statistical analysis, experimentation design, A/B testing, hypothesis testing, and causal inference methodologies. Experience building real-time or near-real-time scoring systems and production ML pipelines. Excellent communication skills: ability to explain complex technical concepts clearly to both technical and non-technical audiences. Strong presentation skills and ability to lead discussions without heavy coaching. Strong cross-functional collaboration and stakeholder management skills. Comfortable influencing decisions and driving adoption across Product, Engineering, Finance, and business teams. Preferred Qualifications: Experience in financial services, tax preparation, SaaS, fintech, or e-commerce industries. Hands-on experience building fraud detection, anomaly detection, or risk modeling systems. Physical & Work Environment Requirements This is a fully remote role (US-based only). Occasional travel within US is required for team collaboration, strategy sessions, and business meetings (estimated 4-6 times per year). Work is performed in a standard office environment with remote flexibility. Must be able to work at a computer for extended periods. What we offer: At TaxSlayer we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive, and flexible benefits program. We offer flexible remote and/or hybrid work options when possible, depending on the role. Exempt Salaried employees receive a generous PTO bank, in addition to Paid Holidays. Insurance: Medical, Dental, and Vision insurance offerings from Aetna and SunLife. Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. 401K with 150% match on up to 3% contribution Performance-based bonus and salary review process Other offerings: Wellness Program, Life Insurance for employee, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Education Assistance, company-paid parking, on-site fitness facility, and a company store. Apply today and don't forget to opt in for text updates from our recruiting team! Please note: As a federal contractor, we are responsible to ensure our employees meet any obligations set forth by the U.S. government. We will inform you of any applicable requirements as they arise. Legal Disclaimers TaxSlayer is an equal opportunity employer and complies with all applicable laws regarding discrimination. Employment is based on qualifications, merit, and business need. . click apply for full job details
Job Description Job Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems, particularly in the areas of airborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. Within this role, we perform work on full system prototypes, experiment campaigns and technology component development. Development roles within the Sensors Division include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, as well as real-time embedded processor implementation. Within the Sensors Division, the Real-time Architectures, Integration and Demonstration (RAID) Group focuses on transition of algorithms from concept to real-time software, providing open architecture expertise, and facilitating integration of capabilities for experimentation, test, and deployment. The RAID Group is seeking a Lead Systems Engineer with demonstrated expertise in Model Based Systems Engineering (MBSE) to help design, develop, implement, test, and maintain real-time software that controls complex hardware systems while complying with open architecture standards. You will work as part of focused teams to transition software products from internally developed and integrated software into production-quality software that can be transitioned to outside integrators for use on their embedded and distributed computing platforms. You will be responsible for developing best practices and automated processes in coordination with software and system engineers to further integrate MBSE into Agile Software development processes. A successful candidate will have experience working on teams that have developed large scale high-performance C/C++ software for sensor systems. Strong understanding of MBSE practices and how they are compatible with real-time systems developed via an Agile process is essential. Experience with open architecture frameworks and standards is highly desired. Strong technical, interpersonal, and communication skills are important for working in collaborative, multi-disciplinary teams. What you will do: Collaborate with principal investigators, software engineers, and other system engineers to plan, model, develop, test, and document large scale software/hardware systems Collaborate with software and system engineers to integrate MBSE artifacts with software development pipelines (code / test generation, large scale code analysis, etc.) Collaborate with software and system engineers to integrate MBSE processes to streamline software development Perform requirement extraction, management, and analysis for RF sensor signal processing or equivalent systems Document (and/or support documentation of) system designs, software designs, APIs, implementation details, and technical reports Perform peer reviews and suggest next steps for technical work Support approximately 5% travel for integration events, customer meetings, and field demonstrations Who you are: Ability to obtain and retain a Secret or Top Secret Security Clearance, for which U.S citizenship is needed by the U.S government PhD + 2 years, MS + 5 years, or BS + 7 years in Systems Engineering, Computer Science, Computer Engineering, Electrical Engineering, or related field Experience with Model Based Systems Engineering for medium to large scale agile software development programs Strong proficiency with CAMEO or other Model Base Systems Engineering tools Experience working with professional software development teams Excellent technical writing and communication skills Even Better: Active Security Clearance at the Secret or Top Secret level (strongly preferred due to clearance processing time) Experience developing products / toolkits that are integrated by 3rd parties with various hardware and software subsystems Proficiency in automated integration of CAMEO or other Model Based Systems engineering tools with Agile development processes Experience working with signal processing development teams Experience with open architecture standards and frameworks Experience with version control systems (Git) and collaborative development practices Experience with CAMEO plugin development Understanding of RF sensor system concepts Familiarity with CI/CD pipelines, and DevOps and integrating MBSE to those systems Prior contributions to proposal development and technical writing Pay Information Full-Time Salary Range: $174,000.00 - $225,000.00 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
11/12/2026
Full time
Job Description Job Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems, particularly in the areas of airborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. Within this role, we perform work on full system prototypes, experiment campaigns and technology component development. Development roles within the Sensors Division include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, as well as real-time embedded processor implementation. Within the Sensors Division, the Real-time Architectures, Integration and Demonstration (RAID) Group focuses on transition of algorithms from concept to real-time software, providing open architecture expertise, and facilitating integration of capabilities for experimentation, test, and deployment. The RAID Group is seeking a Lead Systems Engineer with demonstrated expertise in Model Based Systems Engineering (MBSE) to help design, develop, implement, test, and maintain real-time software that controls complex hardware systems while complying with open architecture standards. You will work as part of focused teams to transition software products from internally developed and integrated software into production-quality software that can be transitioned to outside integrators for use on their embedded and distributed computing platforms. You will be responsible for developing best practices and automated processes in coordination with software and system engineers to further integrate MBSE into Agile Software development processes. A successful candidate will have experience working on teams that have developed large scale high-performance C/C++ software for sensor systems. Strong understanding of MBSE practices and how they are compatible with real-time systems developed via an Agile process is essential. Experience with open architecture frameworks and standards is highly desired. Strong technical, interpersonal, and communication skills are important for working in collaborative, multi-disciplinary teams. What you will do: Collaborate with principal investigators, software engineers, and other system engineers to plan, model, develop, test, and document large scale software/hardware systems Collaborate with software and system engineers to integrate MBSE artifacts with software development pipelines (code / test generation, large scale code analysis, etc.) Collaborate with software and system engineers to integrate MBSE processes to streamline software development Perform requirement extraction, management, and analysis for RF sensor signal processing or equivalent systems Document (and/or support documentation of) system designs, software designs, APIs, implementation details, and technical reports Perform peer reviews and suggest next steps for technical work Support approximately 5% travel for integration events, customer meetings, and field demonstrations Who you are: Ability to obtain and retain a Secret or Top Secret Security Clearance, for which U.S citizenship is needed by the U.S government PhD + 2 years, MS + 5 years, or BS + 7 years in Systems Engineering, Computer Science, Computer Engineering, Electrical Engineering, or related field Experience with Model Based Systems Engineering for medium to large scale agile software development programs Strong proficiency with CAMEO or other Model Base Systems Engineering tools Experience working with professional software development teams Excellent technical writing and communication skills Even Better: Active Security Clearance at the Secret or Top Secret level (strongly preferred due to clearance processing time) Experience developing products / toolkits that are integrated by 3rd parties with various hardware and software subsystems Proficiency in automated integration of CAMEO or other Model Based Systems engineering tools with Agile development processes Experience working with signal processing development teams Experience with open architecture standards and frameworks Experience with version control systems (Git) and collaborative development practices Experience with CAMEO plugin development Understanding of RF sensor system concepts Familiarity with CI/CD pipelines, and DevOps and integrating MBSE to those systems Prior contributions to proposal development and technical writing Pay Information Full-Time Salary Range: $174,000.00 - $225,000.00 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
Job Description Job Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you a Principal Systems Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Principal Systems Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Responsibilities: Outline, develop and implement data engineering solutions. Utilize a working knowledge of NiFi, be comfortable working in a Linux environment, interact with data ontologies (schemas), structured data types (XML, CSV, JSON), have database experience (MySQL/NoSQL) and analytic query experience with a platform. Work with numerous concurrent IC-provided data sets to identify, map and model data transformation routines supporting ingestion into the customer's corporate repositories and be able to document new and existing data flows supporting data routing implementations. A working knowledge of smart data systems and entitlements is highly desired, as well as experience with Java and Splunk. Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. Professional/Education experience: Twenty (20) years experience as a SE in programs and contracts of similar scope, type and complexity is required. Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required. Five (5) years of additional SE experience may be substituted for a bachelor's degree. U.S. Citizenship. Works well independently as well as on a team. Strong communication skills. Qualifications: Demonstrated experience supporting Systems Engineering efforts is required Able to implement comprehensive SOA solutions Able to conduct and/or approve end-to-end system trade analyses to optimize system operations over its life cycle through the proper balance of non-functional system performance areas Able to ensure effective, periodic review and control of the evolving configuration of a system, both hardware and software components and associated documentation, during the life of the system Able to develop system design alternatives that consider life cycle cost, reuse, complexity, risk, system expansion, and growth Able to maintain knowledge of current and evolving agency, national, and international standards applicable to the system development of interest Able to recommend a preferred solution based on selection criteria Able to provide technical direction for the full systems engineering life cycle Able to fully define interfaces in terms of origination, destination, stimulus, and data characteristics for software. Desired Skills: Working knowledge of smart data systems and entitlements Experience with Java and Splunk is highly desired Experience with current and evolving agency dataflow and reporting solutions Experience in developing system performance, availability, scalability, manageability, and security requirements for mid-to-large scale systems Experience in leading agile development models Experience integrating COTS and GOTS products from multiple vendors Experience developing and deploying storage within clustered or cloud environments Experience planning and integrating secure compliant solutions based on legal, policy, and compliance directives Location: Annapolis Junction, MD Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. SIGN-ON BONUS ELIGIBLE. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR LvIHwLvxRR
11/12/2026
Full time
Job Description Job Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you a Principal Systems Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Principal Systems Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Responsibilities: Outline, develop and implement data engineering solutions. Utilize a working knowledge of NiFi, be comfortable working in a Linux environment, interact with data ontologies (schemas), structured data types (XML, CSV, JSON), have database experience (MySQL/NoSQL) and analytic query experience with a platform. Work with numerous concurrent IC-provided data sets to identify, map and model data transformation routines supporting ingestion into the customer's corporate repositories and be able to document new and existing data flows supporting data routing implementations. A working knowledge of smart data systems and entitlements is highly desired, as well as experience with Java and Splunk. Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. Professional/Education experience: Twenty (20) years experience as a SE in programs and contracts of similar scope, type and complexity is required. Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required. Five (5) years of additional SE experience may be substituted for a bachelor's degree. U.S. Citizenship. Works well independently as well as on a team. Strong communication skills. Qualifications: Demonstrated experience supporting Systems Engineering efforts is required Able to implement comprehensive SOA solutions Able to conduct and/or approve end-to-end system trade analyses to optimize system operations over its life cycle through the proper balance of non-functional system performance areas Able to ensure effective, periodic review and control of the evolving configuration of a system, both hardware and software components and associated documentation, during the life of the system Able to develop system design alternatives that consider life cycle cost, reuse, complexity, risk, system expansion, and growth Able to maintain knowledge of current and evolving agency, national, and international standards applicable to the system development of interest Able to recommend a preferred solution based on selection criteria Able to provide technical direction for the full systems engineering life cycle Able to fully define interfaces in terms of origination, destination, stimulus, and data characteristics for software. Desired Skills: Working knowledge of smart data systems and entitlements Experience with Java and Splunk is highly desired Experience with current and evolving agency dataflow and reporting solutions Experience in developing system performance, availability, scalability, manageability, and security requirements for mid-to-large scale systems Experience in leading agile development models Experience integrating COTS and GOTS products from multiple vendors Experience developing and deploying storage within clustered or cloud environments Experience planning and integrating secure compliant solutions based on legal, policy, and compliance directives Location: Annapolis Junction, MD Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. SIGN-ON BONUS ELIGIBLE. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR LvIHwLvxRR
Job Description Job Description SYSTEMS ENGINEERS Job Type: Full Time Level: Mid, Senior, Principal Location: Maryland (Annapolis Junction / Fort Meade area) Security Clearance: TS/SCI with Appropriate Agency Polygraph Artera Technologies, LLC's engineering team works on projects that protect our nation using advanced technologies. We deliver systems and capabilities in the areas of research, modernization, development, integration, and sustainment of mission systems. Tasking: Analyzes user's requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications. Analyzes system requirements and leads design and development activities. Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies. Provides technical leadership for the integration of requirements, design, and technology. Incorporates new plans, designs and systems into ongoing operations. Develops technical documentation. Develops system Architecture and system design documentation. Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans. Interacts with the customer regarding Systems Engineering technical considerations and for associated problems, issues or conflicts. Ultimate responsibility for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility. Communicates with other program personnel, government overseers, and senior executives. Experience in systems engineering providing technical direction for the development, engineering, interfacing, integration, and testing of specific components of complex hardware/software systems to include requirements elicitation, analysis and functional allocation, conducting systems requirements reviews, developing concepts of operation and interface standards, developing system architectures, and performing technical/non-technical assessment and management as well as end-to-end flow analysis. Implementing comprehensive Service Oriented Architecture solutions. Implementing operational view, technical standards view, and system and services view for architectures using applicable DoDAF standards. Developing scenarios (threads) and an Operational Concept that describes the interactions between the system, the user, and the environment, that satisfies operational, support, maintenance, and disposal needs. Reviewing and/or approving system engineering documentation to ensure that processes and specifications meet system needs and are accurate, comprehensive, and complete. Conducting quantitative analysis in non-functional system performance areas like Reliability, Maintainability, Vulnerability, Survivability, Produceability, etc.). Establishing and following a formal procedure for coordination system integration activities among multiple teams, ensuring complete coverage of all interfaces. Capturing interface designs in a common interface control format and storing interface data in a commonly accessible repository. Preparing time-line analysis diagrams illustrating the flow of time-dependent function. General Qualifications: Systems Engineer Level 1 requires a bachelor's degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline, and 0-7 years of experience as a systems engineer on programs and contracts of similar scope, type, and complexity. Systems Engineer Level 2 requires a bachelor's degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline, and 7-14 years of experience as a systems engineer on programs and contracts of similar scope, type, and complexity. Systems Engineer Level 3 requires a bachelor's degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline, and 20+ years of experience as a systems engineer on programs and contracts of similar scope, type, and complexity. Five (5) additional years of relevant experience may be accepted in lieu a bachelor's degree on some contracts. About Us! Artera Technologies, LLC is an energetic, employee-focused, woman-owned business headquartered in Ellicott City, MD. Founded in 2012, Artera offers innovative software and systems engineering solutions to the Intelligence Community (IC). We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more. We hire and retain top talent to deliver leading-edge solutions to help solve our customer's mission challenges. Artera was founded with the conviction that organizational culture is the key to delivering powerful solutions. Since 2012, our tight-knit team of tech professionals have committed to our core values: Integrity, Customer Mission Success, and Employee Growth & Engagement. Ready to make a difference? With a large variety of projects and contracts we can find the right fit-skills, growth opportunities, and personality-for each of our employees. To apply, please visit or email your resume to . Artera Technologies, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class. Powered by JazzHR Vnl4kU3TNK
11/12/2026
Full time
Job Description Job Description SYSTEMS ENGINEERS Job Type: Full Time Level: Mid, Senior, Principal Location: Maryland (Annapolis Junction / Fort Meade area) Security Clearance: TS/SCI with Appropriate Agency Polygraph Artera Technologies, LLC's engineering team works on projects that protect our nation using advanced technologies. We deliver systems and capabilities in the areas of research, modernization, development, integration, and sustainment of mission systems. Tasking: Analyzes user's requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications. Analyzes system requirements and leads design and development activities. Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies. Provides technical leadership for the integration of requirements, design, and technology. Incorporates new plans, designs and systems into ongoing operations. Develops technical documentation. Develops system Architecture and system design documentation. Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans. Interacts with the customer regarding Systems Engineering technical considerations and for associated problems, issues or conflicts. Ultimate responsibility for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility. Communicates with other program personnel, government overseers, and senior executives. Experience in systems engineering providing technical direction for the development, engineering, interfacing, integration, and testing of specific components of complex hardware/software systems to include requirements elicitation, analysis and functional allocation, conducting systems requirements reviews, developing concepts of operation and interface standards, developing system architectures, and performing technical/non-technical assessment and management as well as end-to-end flow analysis. Implementing comprehensive Service Oriented Architecture solutions. Implementing operational view, technical standards view, and system and services view for architectures using applicable DoDAF standards. Developing scenarios (threads) and an Operational Concept that describes the interactions between the system, the user, and the environment, that satisfies operational, support, maintenance, and disposal needs. Reviewing and/or approving system engineering documentation to ensure that processes and specifications meet system needs and are accurate, comprehensive, and complete. Conducting quantitative analysis in non-functional system performance areas like Reliability, Maintainability, Vulnerability, Survivability, Produceability, etc.). Establishing and following a formal procedure for coordination system integration activities among multiple teams, ensuring complete coverage of all interfaces. Capturing interface designs in a common interface control format and storing interface data in a commonly accessible repository. Preparing time-line analysis diagrams illustrating the flow of time-dependent function. General Qualifications: Systems Engineer Level 1 requires a bachelor's degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline, and 0-7 years of experience as a systems engineer on programs and contracts of similar scope, type, and complexity. Systems Engineer Level 2 requires a bachelor's degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline, and 7-14 years of experience as a systems engineer on programs and contracts of similar scope, type, and complexity. Systems Engineer Level 3 requires a bachelor's degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline, and 20+ years of experience as a systems engineer on programs and contracts of similar scope, type, and complexity. Five (5) additional years of relevant experience may be accepted in lieu a bachelor's degree on some contracts. About Us! Artera Technologies, LLC is an energetic, employee-focused, woman-owned business headquartered in Ellicott City, MD. Founded in 2012, Artera offers innovative software and systems engineering solutions to the Intelligence Community (IC). We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more. We hire and retain top talent to deliver leading-edge solutions to help solve our customer's mission challenges. Artera was founded with the conviction that organizational culture is the key to delivering powerful solutions. Since 2012, our tight-knit team of tech professionals have committed to our core values: Integrity, Customer Mission Success, and Employee Growth & Engagement. Ready to make a difference? With a large variety of projects and contracts we can find the right fit-skills, growth opportunities, and personality-for each of our employees. To apply, please visit or email your resume to . Artera Technologies, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class. Powered by JazzHR Vnl4kU3TNK
Job Description Job Description Overview Systems Engineer, Senior LOCATION: Dahlgren, VA JOB STATUS: Full-time CLEARANCE: Secret (Ability to obtain up to a TS/SCI) TRAVEL: Up to 25% - inferred from system engineering, mission engineering, platform integration, certification, and technical working group support; Capture/TA to confirm. SALARY RANGE: $141k -$ 211k Astrion has an exciting opportunity for a Systems Engineer, Senior to join our team supporting NSWCDD in Dahlgren, VA. This role leads systems engineering and mission engineering for DoD major strategic, platform, weapon, combat, Command and Control, cyber, and/or fire control systems. The Systems Engineer, Senior develops requirements, top-level designs, and system architectures for software-intensive systems that support Navy and Joint warfighting capability. Required Qualifications Bachelor of Science degree from an accredited college or university in an engineering, scientific, or technical discipline; or ten (10) years of demonstrated and established knowledge base and subject matter expertise relevant to the technical disciplines of the SOW. Ten (10) years of professional systems engineering experience with a DoD major strategic, platform, weapon, combat, C2, cyber, and/or fire control systems program. Five (5) years of concurrent experience as a team leader performing systems engineering and mission engineering efforts that include developing requirements and top-level designs and/or system architectures for software-intensive systems. Experience identifying, analyzing, and resolving complex systems engineering issues involving platform, weapon, combat, C2, cyber situational awareness, and fire control systems for Navy and Joint warfighting capabilities. Concurrent experience in one of the source-defined subcategories: Weapons Systems / Weapons Control Systems / Combat Systems; Strategic Fire Control Systems; Security Systems; Cyberspace Systems; or Computer Systems Engineer. For Security Systems subcategory only: CISSP IAW DoDD 8570; IAM Level III or higher with certification in Networking Technologies; IT-1 level clearance; experience preparing and submitting Navy/DoD security certification and accreditation documentation for major weapon, combat, and/or fire control systems. Ability to obtain and maintain the DoD/Navy clearance required by the final DD254/JPAS. Desired Qualifications Experience with Government Off-The-Shelf and Commercial Off-The-Shelf technology in weapon, weapons control, combat, or fire control systems. Experience with strategic fire control systems, SLBM Fire Control Systems, Formal Qualification Testing, Independent Verification and Validation, third-generation programming languages, Database Management Systems, mission planning, targeting models and simulations, Strategic Weapon System, Attack Weapon Control System, SPALTs, or logistics management of software, hardware, and documentation. Experience leading shipboard system integration, development, deployment/design efforts, safety, Information Assurance, Human System Integration, documentation, software or hardware Change Control Boards, or working groups supporting strategic or attack weapons systems. Experience with big data, machine learning, cloud, microservice architecture, correlation and analytics of externally derived information, and display of information for decision-making. Education Bachelor of Science degree from an accredited college or university in an engineering, scientific, or technical discipline; or ten (10) years of demonstrated and established knowledge base and subject matter expertise relevant to the technical disciplines of the SOW. Responsibilities Lead systems engineering and mission engineering efforts for strategic, platform, weapon, combat, C2, cyber, and/or fire control systems. Develop requirements, top-level designs, and system architectures for software-intensive systems. Identify, analyze, and resolve complex systems engineering issues involving Navy and Joint warfighting capabilities. Support lifecycle system development and analysis for milestone decisions, concept of operations, and initial design development. Develop or review system integration documents for weapons systems, weapons control systems, and/or combat systems. Support strategic, weapon, and/or combat system certification processes and self-certification criteria. Support strategic fire control systems engineering, including software development, hardware design, systems integration, technical design documentation, coordination drawings, future capability definition, and weapons system integration. Support security systems engineering, including certification and accreditation documentation, DIACAP/RMF/PIT or predecessor processes, and security capability specification, development, integration, and test, when assigned to the Security Systems subcategory. Support cyberspace systems engineering involving operational requirements identification, decomposition, architecture design, development, test, evaluation, big data, machine learning, cloud, microservice architecture, and enterprise software integration, when assigned to the Cyberspace Systems subcategory. Support computer systems engineering activities including requirements definition, system design parameters, concepts of operation, risk assessment, producibility studies, performance analyses, test and evaluation, and post-delivery support.
11/12/2026
Full time
Job Description Job Description Overview Systems Engineer, Senior LOCATION: Dahlgren, VA JOB STATUS: Full-time CLEARANCE: Secret (Ability to obtain up to a TS/SCI) TRAVEL: Up to 25% - inferred from system engineering, mission engineering, platform integration, certification, and technical working group support; Capture/TA to confirm. SALARY RANGE: $141k -$ 211k Astrion has an exciting opportunity for a Systems Engineer, Senior to join our team supporting NSWCDD in Dahlgren, VA. This role leads systems engineering and mission engineering for DoD major strategic, platform, weapon, combat, Command and Control, cyber, and/or fire control systems. The Systems Engineer, Senior develops requirements, top-level designs, and system architectures for software-intensive systems that support Navy and Joint warfighting capability. Required Qualifications Bachelor of Science degree from an accredited college or university in an engineering, scientific, or technical discipline; or ten (10) years of demonstrated and established knowledge base and subject matter expertise relevant to the technical disciplines of the SOW. Ten (10) years of professional systems engineering experience with a DoD major strategic, platform, weapon, combat, C2, cyber, and/or fire control systems program. Five (5) years of concurrent experience as a team leader performing systems engineering and mission engineering efforts that include developing requirements and top-level designs and/or system architectures for software-intensive systems. Experience identifying, analyzing, and resolving complex systems engineering issues involving platform, weapon, combat, C2, cyber situational awareness, and fire control systems for Navy and Joint warfighting capabilities. Concurrent experience in one of the source-defined subcategories: Weapons Systems / Weapons Control Systems / Combat Systems; Strategic Fire Control Systems; Security Systems; Cyberspace Systems; or Computer Systems Engineer. For Security Systems subcategory only: CISSP IAW DoDD 8570; IAM Level III or higher with certification in Networking Technologies; IT-1 level clearance; experience preparing and submitting Navy/DoD security certification and accreditation documentation for major weapon, combat, and/or fire control systems. Ability to obtain and maintain the DoD/Navy clearance required by the final DD254/JPAS. Desired Qualifications Experience with Government Off-The-Shelf and Commercial Off-The-Shelf technology in weapon, weapons control, combat, or fire control systems. Experience with strategic fire control systems, SLBM Fire Control Systems, Formal Qualification Testing, Independent Verification and Validation, third-generation programming languages, Database Management Systems, mission planning, targeting models and simulations, Strategic Weapon System, Attack Weapon Control System, SPALTs, or logistics management of software, hardware, and documentation. Experience leading shipboard system integration, development, deployment/design efforts, safety, Information Assurance, Human System Integration, documentation, software or hardware Change Control Boards, or working groups supporting strategic or attack weapons systems. Experience with big data, machine learning, cloud, microservice architecture, correlation and analytics of externally derived information, and display of information for decision-making. Education Bachelor of Science degree from an accredited college or university in an engineering, scientific, or technical discipline; or ten (10) years of demonstrated and established knowledge base and subject matter expertise relevant to the technical disciplines of the SOW. Responsibilities Lead systems engineering and mission engineering efforts for strategic, platform, weapon, combat, C2, cyber, and/or fire control systems. Develop requirements, top-level designs, and system architectures for software-intensive systems. Identify, analyze, and resolve complex systems engineering issues involving Navy and Joint warfighting capabilities. Support lifecycle system development and analysis for milestone decisions, concept of operations, and initial design development. Develop or review system integration documents for weapons systems, weapons control systems, and/or combat systems. Support strategic, weapon, and/or combat system certification processes and self-certification criteria. Support strategic fire control systems engineering, including software development, hardware design, systems integration, technical design documentation, coordination drawings, future capability definition, and weapons system integration. Support security systems engineering, including certification and accreditation documentation, DIACAP/RMF/PIT or predecessor processes, and security capability specification, development, integration, and test, when assigned to the Security Systems subcategory. Support cyberspace systems engineering involving operational requirements identification, decomposition, architecture design, development, test, evaluation, big data, machine learning, cloud, microservice architecture, and enterprise software integration, when assigned to the Cyberspace Systems subcategory. Support computer systems engineering activities including requirements definition, system design parameters, concepts of operation, risk assessment, producibility studies, performance analyses, test and evaluation, and post-delivery support.
Job Description Job Description STATE OF ALABAMA Office of Information Technology Senior AI Platform & Services Engineer Enterprise Artificial Intelligence Engineering, Service Architecture, Governance Implementation, and Technical Operations Target Bill Rate Overall Experience AI Experience Role Level $65.00 - $76.89/hr 4 - 7+ years 2+ years preferred Senior Engineer Ideal Candidate Profile: An experienced enterprise platform engineer who can work deeply in the backend while also designing the service structure around AI. The ideal candidate can engineer integrations and controls, own complex troubleshooting, operationalize governance requirements, establish standards, and mentor less-experienced AI platform resources. Position Summary The Senior AI Platform & Services Engineer is a senior hands-on technical position responsible for engineering, administering, integrating, operating, and continuously improving enterprise AI platforms and services. The position provides technical leadership across a multi-platform AI environment initially centered on OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini. The engineer establishes repeatable technical patterns, operational standards, integrations, access controls, monitoring, service-management processes, and governance implementation so AI capabilities can be operated securely and reliably as managed enterprise services. This role is expected to remain hands-on and is not primarily a consulting, policy-only, or custom model-research position. Position Snapshot Primary Function Senior hands-on engineering, administration, service architecture, integration, governance implementation, and operational leadership for enterprise AI. Initial Platforms OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini, with responsibility to incorporate additional AI services as organizational needs evolve. Engineering Focus Architecture patterns, APIs/connectors, agents, identity, data access, automation, monitoring, lifecycle, reliability, security controls, and enterprise support. Governance Role Translates approved AI, security, privacy, compliance, and data-handling requirements into technical controls, standards, evidence, and operational processes. Leadership Scope Not required. Preference is for engineers who have owned and operated enterprise technology services rather than primarily advised from a consulting role. Technical leadership and mentoring; complex escalation ownership; standards and patterns. Direct people management is not required unless separately assigned. Consulting Background State of Alabama Office of Information Technology Position Description Page 1 STATE OF ALABAMA Office of Information Technology Primary Responsibilities Engineer, administer, and continuously improve enterprise AI platforms and the supporting technical services required to operate them at scale. Serve as a hands-on technical subject-matter resource across OpenAI/ChatGPT, Microsoft Copilot, Google Gemini, and related enterprise AI technologies. Design and implement technical patterns for APIs, connectors, agents, orchestration, knowledge sources, retrieval augmented generation (RAG), automation, and integrations with enterprise systems. Establish platform administration, environment management, access-control, configuration, service onboarding, change/release, and lifecycle-management standards. Design and implement identity patterns including SSO, RBAC, privileged access, service identities, scopes/permissions, access reviews, secrets, and least-privilege controls as applicable. Translate approved governance, security, privacy, legal, compliance, records, and data-management requirements into enforceable technical configurations and operating controls. Evaluate data flows, model/provider interactions, knowledge sources, connectors, and integrations to identify technical risks, dependencies, logging requirements, and control points. Establish monitoring, logging, alerting, auditability, usage reporting, cost/consumption visibility, licensing oversight, and operational performance metrics for AI services. Own or lead troubleshooting of complex platform, integration, authentication, authorization, data-access, agent, performance, and service-availability issues. Evaluate new AI products, models, platform capabilities, agents, and features and define technical testing, pilot, release, and support-readiness requirements. Develop and maintain technical architecture documentation, standards, configuration baselines, runbooks, support models, knowledge articles, and operational procedures. Define escalation paths and support boundaries for AI-related incidents and service requests and coordinate with vendors and internal technical teams as needed. Identify and implement automation opportunities that reduce manual administration and improve consistency, reliability, observability, and governance. Provide technical mentoring and guidance to AI Platform Engineers and other support resources while maintaining hands-on ownership of critical engineering work. Partner with cybersecurity, cloud/infrastructure, identity, application, data, architecture, service-management, procurement, legal/compliance, and business teams on AI service delivery. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical discipline, or an equivalent combination of education and progressively responsible professional experience. Approximately 4 - 7+ years of professional experience in cloud engineering, systems engineering, platform engineering, DevOps, enterprise application administration, automation, security engineering, or comparable technical disciplines. Approximately 2+ years of meaningful experience with AI, intelligent automation, machine learning platforms, generative AI, or closely related enterprise technologies is preferred; equivalent depth demonstrated through hands-on delivery may be considered. Demonstrated experience engineering or operating complex enterprise cloud/SaaS platforms, integrations, identity controls, APIs, and support processes. Strong troubleshooting capability and experience leading technical resolution of multi-system issues involving applications, cloud services, identity, permissions, APIs, or data access. Ability to translate architectural, security, privacy, governance, or compliance requirements into practical technical designs and operational controls. State of Alabama Office of Information Technology Position Description Page 2 STATE OF ALABAMA Office of Information Technology Preferred Qualifications Hands-on experience with at least two of the following ecosystems: OpenAI/ChatGPT and OpenAI APIs; Microsoft Copilot/Copilot Studio/Azure AI services; Google Gemini/Vertex AI/Google Cloud. Experience implementing enterprise AI agents, RAG/grounding, knowledge integration, enterprise search, tool/function calling, model routing, or API orchestration patterns. Experience with PowerShell, Python, REST APIs, JSON, CI/CD or infrastructure automation, low-code workflow tools, or comparable automation technologies. Experience with enterprise IAM, Microsoft Entra ID or comparable identity platforms, OAuth/OIDC/SAML, RBAC, privileged access, service principals/service accounts, secrets, and access reviews. Experience implementing security, privacy, data-loss prevention, logging/audit, records/data-handling, responsible AI, or AI governance requirements in technology platforms. Experience establishing IT service-management models including incident, request, change, problem, knowledge, service ownership, escalation, monitoring, and operational reporting. Experience operating technology in a regulated, government, large-enterprise, or other control-intensive environment. Knowledge, Skills, and Abilities Strong systems-thinking skills and the ability to understand how AI platforms interact with identity, data, applications, networks, cloud services, security controls, and operational processes. Ability to design practical service structures around rapidly changing technology without overengineering or losing operational supportability. Ability to evaluate tradeoffs across platform capability, security, privacy, cost, user experience, maintainability, and compliance requirements. Strong technical documentation, standards development, and communication skills for both engineering and governance audiences. Ability to mentor engineers, provide technical direction, coordinate across teams, and maintain ownership through implementation and steady-state operations.
11/12/2026
Full time
Job Description Job Description STATE OF ALABAMA Office of Information Technology Senior AI Platform & Services Engineer Enterprise Artificial Intelligence Engineering, Service Architecture, Governance Implementation, and Technical Operations Target Bill Rate Overall Experience AI Experience Role Level $65.00 - $76.89/hr 4 - 7+ years 2+ years preferred Senior Engineer Ideal Candidate Profile: An experienced enterprise platform engineer who can work deeply in the backend while also designing the service structure around AI. The ideal candidate can engineer integrations and controls, own complex troubleshooting, operationalize governance requirements, establish standards, and mentor less-experienced AI platform resources. Position Summary The Senior AI Platform & Services Engineer is a senior hands-on technical position responsible for engineering, administering, integrating, operating, and continuously improving enterprise AI platforms and services. The position provides technical leadership across a multi-platform AI environment initially centered on OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini. The engineer establishes repeatable technical patterns, operational standards, integrations, access controls, monitoring, service-management processes, and governance implementation so AI capabilities can be operated securely and reliably as managed enterprise services. This role is expected to remain hands-on and is not primarily a consulting, policy-only, or custom model-research position. Position Snapshot Primary Function Senior hands-on engineering, administration, service architecture, integration, governance implementation, and operational leadership for enterprise AI. Initial Platforms OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini, with responsibility to incorporate additional AI services as organizational needs evolve. Engineering Focus Architecture patterns, APIs/connectors, agents, identity, data access, automation, monitoring, lifecycle, reliability, security controls, and enterprise support. Governance Role Translates approved AI, security, privacy, compliance, and data-handling requirements into technical controls, standards, evidence, and operational processes. Leadership Scope Not required. Preference is for engineers who have owned and operated enterprise technology services rather than primarily advised from a consulting role. Technical leadership and mentoring; complex escalation ownership; standards and patterns. Direct people management is not required unless separately assigned. Consulting Background State of Alabama Office of Information Technology Position Description Page 1 STATE OF ALABAMA Office of Information Technology Primary Responsibilities Engineer, administer, and continuously improve enterprise AI platforms and the supporting technical services required to operate them at scale. Serve as a hands-on technical subject-matter resource across OpenAI/ChatGPT, Microsoft Copilot, Google Gemini, and related enterprise AI technologies. Design and implement technical patterns for APIs, connectors, agents, orchestration, knowledge sources, retrieval augmented generation (RAG), automation, and integrations with enterprise systems. Establish platform administration, environment management, access-control, configuration, service onboarding, change/release, and lifecycle-management standards. Design and implement identity patterns including SSO, RBAC, privileged access, service identities, scopes/permissions, access reviews, secrets, and least-privilege controls as applicable. Translate approved governance, security, privacy, legal, compliance, records, and data-management requirements into enforceable technical configurations and operating controls. Evaluate data flows, model/provider interactions, knowledge sources, connectors, and integrations to identify technical risks, dependencies, logging requirements, and control points. Establish monitoring, logging, alerting, auditability, usage reporting, cost/consumption visibility, licensing oversight, and operational performance metrics for AI services. Own or lead troubleshooting of complex platform, integration, authentication, authorization, data-access, agent, performance, and service-availability issues. Evaluate new AI products, models, platform capabilities, agents, and features and define technical testing, pilot, release, and support-readiness requirements. Develop and maintain technical architecture documentation, standards, configuration baselines, runbooks, support models, knowledge articles, and operational procedures. Define escalation paths and support boundaries for AI-related incidents and service requests and coordinate with vendors and internal technical teams as needed. Identify and implement automation opportunities that reduce manual administration and improve consistency, reliability, observability, and governance. Provide technical mentoring and guidance to AI Platform Engineers and other support resources while maintaining hands-on ownership of critical engineering work. Partner with cybersecurity, cloud/infrastructure, identity, application, data, architecture, service-management, procurement, legal/compliance, and business teams on AI service delivery. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical discipline, or an equivalent combination of education and progressively responsible professional experience. Approximately 4 - 7+ years of professional experience in cloud engineering, systems engineering, platform engineering, DevOps, enterprise application administration, automation, security engineering, or comparable technical disciplines. Approximately 2+ years of meaningful experience with AI, intelligent automation, machine learning platforms, generative AI, or closely related enterprise technologies is preferred; equivalent depth demonstrated through hands-on delivery may be considered. Demonstrated experience engineering or operating complex enterprise cloud/SaaS platforms, integrations, identity controls, APIs, and support processes. Strong troubleshooting capability and experience leading technical resolution of multi-system issues involving applications, cloud services, identity, permissions, APIs, or data access. Ability to translate architectural, security, privacy, governance, or compliance requirements into practical technical designs and operational controls. State of Alabama Office of Information Technology Position Description Page 2 STATE OF ALABAMA Office of Information Technology Preferred Qualifications Hands-on experience with at least two of the following ecosystems: OpenAI/ChatGPT and OpenAI APIs; Microsoft Copilot/Copilot Studio/Azure AI services; Google Gemini/Vertex AI/Google Cloud. Experience implementing enterprise AI agents, RAG/grounding, knowledge integration, enterprise search, tool/function calling, model routing, or API orchestration patterns. Experience with PowerShell, Python, REST APIs, JSON, CI/CD or infrastructure automation, low-code workflow tools, or comparable automation technologies. Experience with enterprise IAM, Microsoft Entra ID or comparable identity platforms, OAuth/OIDC/SAML, RBAC, privileged access, service principals/service accounts, secrets, and access reviews. Experience implementing security, privacy, data-loss prevention, logging/audit, records/data-handling, responsible AI, or AI governance requirements in technology platforms. Experience establishing IT service-management models including incident, request, change, problem, knowledge, service ownership, escalation, monitoring, and operational reporting. Experience operating technology in a regulated, government, large-enterprise, or other control-intensive environment. Knowledge, Skills, and Abilities Strong systems-thinking skills and the ability to understand how AI platforms interact with identity, data, applications, networks, cloud services, security controls, and operational processes. Ability to design practical service structures around rapidly changing technology without overengineering or losing operational supportability. Ability to evaluate tradeoffs across platform capability, security, privacy, cost, user experience, maintainability, and compliance requirements. Strong technical documentation, standards development, and communication skills for both engineering and governance audiences. Ability to mentor engineers, provide technical direction, coordinate across teams, and maintain ownership through implementation and steady-state operations.
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
11/11/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
11/11/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
Job Description Job Description Principal Product Lead About the Team: STR's Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers. The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management. The Role: As a Principal Product Lead in the SET group, you will work with SET leadership to craft, drive, and execute a product development and marketing strategy that will integrate, test, and demonstrate SET capabilities to achieve (1) more efficient re-use on new B2G (Business-to-Government) Research and Development opportunities, (2) integrated system offerings for B2G system acquisition opportunities, and (3) component and sub-system offerings for B2B (Business-to-Business) supply chain opportunities. Work with customers, end users, and SET capability product owners to shape product development backlogs that balance short-term program goals with long-term and emerging customer needs. Work with a diverse set of customers and diverse set of problems, technology areas, and engineering teams. Support product architecture and design reviews as part of an agile development process. This position requires leading continued development of relevant technology products, specifically focused on delivering advanced algorithms and software solutions for the Intelligence Community and Department of Defense. Who You Are: MS with at least 15 years of experience, and/or PhD with at least 10 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science. Experience with sensing systems, data analytics, and DevOps software processes Experience leading system and technology development teams Experience spanning all product development phases, from ideation to technology research and product development Proven ability to lead moderate to large engineering teams (10-40 engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance Demonstrated experience in working with both internal leadership and external customers in the development and execution of technology and system development programs US. Citizen with the ability to obtain a Security Clearance Excellent interpersonal and communications skills Even Better: US government security clearance Experience working with Space Systems and intelligence products Working knowledge of DoD and IC missions and acquisition processes Entrepreneurial spirit and eager to engage in technical marketing and business development Pay Information Full-Time Salary Range: $206,000 - $275,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
11/11/2026
Full time
Job Description Job Description Principal Product Lead About the Team: STR's Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers. The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management. The Role: As a Principal Product Lead in the SET group, you will work with SET leadership to craft, drive, and execute a product development and marketing strategy that will integrate, test, and demonstrate SET capabilities to achieve (1) more efficient re-use on new B2G (Business-to-Government) Research and Development opportunities, (2) integrated system offerings for B2G system acquisition opportunities, and (3) component and sub-system offerings for B2B (Business-to-Business) supply chain opportunities. Work with customers, end users, and SET capability product owners to shape product development backlogs that balance short-term program goals with long-term and emerging customer needs. Work with a diverse set of customers and diverse set of problems, technology areas, and engineering teams. Support product architecture and design reviews as part of an agile development process. This position requires leading continued development of relevant technology products, specifically focused on delivering advanced algorithms and software solutions for the Intelligence Community and Department of Defense. Who You Are: MS with at least 15 years of experience, and/or PhD with at least 10 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science. Experience with sensing systems, data analytics, and DevOps software processes Experience leading system and technology development teams Experience spanning all product development phases, from ideation to technology research and product development Proven ability to lead moderate to large engineering teams (10-40 engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance Demonstrated experience in working with both internal leadership and external customers in the development and execution of technology and system development programs US. Citizen with the ability to obtain a Security Clearance Excellent interpersonal and communications skills Even Better: US government security clearance Experience working with Space Systems and intelligence products Working knowledge of DoD and IC missions and acquisition processes Entrepreneurial spirit and eager to engage in technical marketing and business development Pay Information Full-Time Salary Range: $206,000 - $275,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
Job Description Job Description Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention. Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile. About the Role We're growing our world-class engineering team to usher our CRM platform into the next generation of software - and we're looking for a visionary Principal Full Stack Engineer to join our Core Platform Team Most Lead roles at "Big Tech" companies involve maintaining a single microservice or acting as a small cog in a 100-person machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for 100% market dominance. This is a high-impact role for someone who doesn't just write great code, but who can see around corners, challenge conventions, and lead entire products from vision to launch . We are actively refactoring our existing teams to be agentic-first - meaning our engineers don't just use AI as a tool, they architect systems around autonomous, AI-driven workflows. This is not a future initiative; it is how we build today. We're looking for builders who bring exceptional focus, ownership, and commitment to their work. At Steer, we want engineers who are "all in" on our mission, fully engaged with their work, and invested in our shared success. This means making Steer your primary professional focus and bringing the dedication and accountability needed to deliver exceptional results. Why Steer? True Ownership: You will lead massive products from start to finish within lean, high-velocity teams. Hyper-Growth & Vision: We are currently at a fraction of our total addressable market in the automotive industry. The potential for scale is massive, and you will be a leading developer shaping this space Freedom to Innovate: You don't need side projects to explore new techniques. We provide the autonomy and the platform to experiment with and implement the latest tech directly into our core product. AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to accelerate coding across any language and to power autonomous production workflows. What You'll Do Technical Strategy & Ownership: Focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools. Architectural Vision: Lead the design of reusable full-stack components and services that ensure our platform remains performant as we scale toward market dominance. Adaptive Development: Pivot at a moment's notice based on evolving business needs, shifting focus between new integrations and core infrastructure to keep our ecosystem seamless. Customer-Centric Engineering: Partner closely with Product to understand user pain points, ensuring every architectural decision adds tangible value to the auto repair shops we serve. Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization. Modern DevOps & Agentic Infrastructure: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices. Design and maintain AI-integrated, agentic-ready infrastructure that enables autonomous workflows. What You Have Must Have: 7+ years of professional experience building complex, web-based SaaS products. The "All-In" Mindset: A deep commitment to Steer's mission and success. We look for engineers who take exceptional pride in their work, hold themselves to high standards, and demonstrate full ownership and accountability for their projects. They approach complex, seemingly impossible challenges with determination, proactively drive solutions, and are committed to delivering exceptional results in a fast-paced environment. AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You use AI to bridge gaps and accelerate development. AI in Production: Proven experience deploying AI-powered features and autonomous (agentic) workflows in production-grade infrastructure. AI-Driven CI/CD: Hands-on experience integrating AI tooling into CI/CD pipelines (e.g., automated code review agents, AI-assisted testing, or agentic workflow orchestration). Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization. Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership. Nice to Have: Familiarity with our current stack: .NET, Node.js (TypeScript), and React. Experience with Infrastructure as Code (Terraform, CloudFormation). Previous experience as a founding engineer or in an early-stage startup environment. Experience building or integrating with Claude marketplace plugins (Anthropic ecosystem), including prompt chaining, tool use, or MCP integrations. Interview Process Initial Screen - 30 min with Lead Recruiter Hiring Manager Interview - 60 min with the Head of Engineering & Product Technical Interview - 60 min with a Principal Engineer Collaborative Interview - 30 min with Lead Product Manager What We Offer Equity Options: Own a piece of the company's success. 100% Remote: Work from anywhere in the US. 100% Employer-Paid Medical Insurance. Flexible PTO: With a 15-day minimum. FSA, HSA, and 401k options. Learning Stipend & WFH Equipment: Everything you need for a world-class home office. Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative, agentic-first environment. Why Join Steer? At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence. Here, you'll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being. Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work. We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries. Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.
11/11/2026
Full time
Job Description Job Description Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention. Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile. About the Role We're growing our world-class engineering team to usher our CRM platform into the next generation of software - and we're looking for a visionary Principal Full Stack Engineer to join our Core Platform Team Most Lead roles at "Big Tech" companies involve maintaining a single microservice or acting as a small cog in a 100-person machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for 100% market dominance. This is a high-impact role for someone who doesn't just write great code, but who can see around corners, challenge conventions, and lead entire products from vision to launch . We are actively refactoring our existing teams to be agentic-first - meaning our engineers don't just use AI as a tool, they architect systems around autonomous, AI-driven workflows. This is not a future initiative; it is how we build today. We're looking for builders who bring exceptional focus, ownership, and commitment to their work. At Steer, we want engineers who are "all in" on our mission, fully engaged with their work, and invested in our shared success. This means making Steer your primary professional focus and bringing the dedication and accountability needed to deliver exceptional results. Why Steer? True Ownership: You will lead massive products from start to finish within lean, high-velocity teams. Hyper-Growth & Vision: We are currently at a fraction of our total addressable market in the automotive industry. The potential for scale is massive, and you will be a leading developer shaping this space Freedom to Innovate: You don't need side projects to explore new techniques. We provide the autonomy and the platform to experiment with and implement the latest tech directly into our core product. AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to accelerate coding across any language and to power autonomous production workflows. What You'll Do Technical Strategy & Ownership: Focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools. Architectural Vision: Lead the design of reusable full-stack components and services that ensure our platform remains performant as we scale toward market dominance. Adaptive Development: Pivot at a moment's notice based on evolving business needs, shifting focus between new integrations and core infrastructure to keep our ecosystem seamless. Customer-Centric Engineering: Partner closely with Product to understand user pain points, ensuring every architectural decision adds tangible value to the auto repair shops we serve. Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization. Modern DevOps & Agentic Infrastructure: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices. Design and maintain AI-integrated, agentic-ready infrastructure that enables autonomous workflows. What You Have Must Have: 7+ years of professional experience building complex, web-based SaaS products. The "All-In" Mindset: A deep commitment to Steer's mission and success. We look for engineers who take exceptional pride in their work, hold themselves to high standards, and demonstrate full ownership and accountability for their projects. They approach complex, seemingly impossible challenges with determination, proactively drive solutions, and are committed to delivering exceptional results in a fast-paced environment. AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You use AI to bridge gaps and accelerate development. AI in Production: Proven experience deploying AI-powered features and autonomous (agentic) workflows in production-grade infrastructure. AI-Driven CI/CD: Hands-on experience integrating AI tooling into CI/CD pipelines (e.g., automated code review agents, AI-assisted testing, or agentic workflow orchestration). Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization. Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership. Nice to Have: Familiarity with our current stack: .NET, Node.js (TypeScript), and React. Experience with Infrastructure as Code (Terraform, CloudFormation). Previous experience as a founding engineer or in an early-stage startup environment. Experience building or integrating with Claude marketplace plugins (Anthropic ecosystem), including prompt chaining, tool use, or MCP integrations. Interview Process Initial Screen - 30 min with Lead Recruiter Hiring Manager Interview - 60 min with the Head of Engineering & Product Technical Interview - 60 min with a Principal Engineer Collaborative Interview - 30 min with Lead Product Manager What We Offer Equity Options: Own a piece of the company's success. 100% Remote: Work from anywhere in the US. 100% Employer-Paid Medical Insurance. Flexible PTO: With a 15-day minimum. FSA, HSA, and 401k options. Learning Stipend & WFH Equipment: Everything you need for a world-class home office. Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative, agentic-first environment. Why Join Steer? At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence. Here, you'll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being. Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work. We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries. Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.
Job Description Job Description Pay Rate: $190K - $200K /10% bonus Location: Oshkosh, WI or New Hudson, MI Work Mode: Hybrid Summary: Shift: 3 days in office and 2 days remote Relocation: Yes, willing to relocate for the right person Travel: less than 10% US Citizen Responsibilities: Define the technical roadmap and architecture for enterprise AI/ML initiatives aligned with business objectives. Partner with executive leaders across various segments to identify high-value analytics opportunities. Champion best practices for MLOps, model governance, ethical AI, and scalable data products. Lead the end-to-end design, development, and deployment of complex predictive, prescriptive, and generative AI models. Translate complex business challenges into production-ready data science frameworks. Provide technical mentorship and guidance to data scientists and machine learning engineers. Collaborate with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring. Communicate complex analytical concepts and ROI metrics clearly to stakeholders. Requirements: Minimum 8 years of experience in analytics and AI. Proven experience delivering analytics or AI projects tied to business outcomes. Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services. Experience working between business teams and IT/analytics. Strong communication, business acumen, and ability to influence senior leaders. Demonstrated experience mentoring junior team members. Experience with industrial IoT, telematics, edge AI, or time-series sensor data. Advanced proficiency in Python and SQL; experience with R, Scala, or C is a plus. Deep experience with ML/AI frameworks such as Scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face. Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark. Demonstrated expertise in Docker, CI/CD pipelines, MLflow, model registry, monitoring, and automated retraining workflows. Familiarity with Agile/Scrum delivery frameworks within large enterprise environments. Preferred Skills: Awareness of and openness to market-based or vendor-led AI solutions. A consultative, outcome-focused approach to delivering solutions. Background in computer vision (CV), autonomous vehicle tech, or robotics. Experience working in a portfolio company with multi-business units; preferably a manufacturing company. Domain expertise in supply chain, manufacturing, or lifecycle services. Consulting experience (nice to have). Bachelor's degree in data science, mathematics, economics, statistics, engineering, or information management. Advanced Degree (MBA and/or PhD). Benefits: Competitive salary with performance-based bonus. Opportunity for relocation for the right candidate. Hybrid work mode offering flexibility. Engagement with cutting-edge AI/ML initiatives.
11/11/2026
Full time
Job Description Job Description Pay Rate: $190K - $200K /10% bonus Location: Oshkosh, WI or New Hudson, MI Work Mode: Hybrid Summary: Shift: 3 days in office and 2 days remote Relocation: Yes, willing to relocate for the right person Travel: less than 10% US Citizen Responsibilities: Define the technical roadmap and architecture for enterprise AI/ML initiatives aligned with business objectives. Partner with executive leaders across various segments to identify high-value analytics opportunities. Champion best practices for MLOps, model governance, ethical AI, and scalable data products. Lead the end-to-end design, development, and deployment of complex predictive, prescriptive, and generative AI models. Translate complex business challenges into production-ready data science frameworks. Provide technical mentorship and guidance to data scientists and machine learning engineers. Collaborate with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring. Communicate complex analytical concepts and ROI metrics clearly to stakeholders. Requirements: Minimum 8 years of experience in analytics and AI. Proven experience delivering analytics or AI projects tied to business outcomes. Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services. Experience working between business teams and IT/analytics. Strong communication, business acumen, and ability to influence senior leaders. Demonstrated experience mentoring junior team members. Experience with industrial IoT, telematics, edge AI, or time-series sensor data. Advanced proficiency in Python and SQL; experience with R, Scala, or C is a plus. Deep experience with ML/AI frameworks such as Scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face. Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark. Demonstrated expertise in Docker, CI/CD pipelines, MLflow, model registry, monitoring, and automated retraining workflows. Familiarity with Agile/Scrum delivery frameworks within large enterprise environments. Preferred Skills: Awareness of and openness to market-based or vendor-led AI solutions. A consultative, outcome-focused approach to delivering solutions. Background in computer vision (CV), autonomous vehicle tech, or robotics. Experience working in a portfolio company with multi-business units; preferably a manufacturing company. Domain expertise in supply chain, manufacturing, or lifecycle services. Consulting experience (nice to have). Bachelor's degree in data science, mathematics, economics, statistics, engineering, or information management. Advanced Degree (MBA and/or PhD). Benefits: Competitive salary with performance-based bonus. Opportunity for relocation for the right candidate. Hybrid work mode offering flexibility. Engagement with cutting-edge AI/ML initiatives.
Job Description Job Description Responsibilities: Define the technical roadmap and architecture for enterprise AI/ML initiatives aligned with business objectives. Partner with executive leaders across Access, Defense, Fire & Emergency, and Commercial segments to identify high-value analytics opportunities. Champion best practices for MLOps, model governance, ethical AI, and scalable data products. Lead the end-to-end design, development, and deployment of complex predictive, prescriptive, and generative AI models. Translate complex business challenges into production-ready data science frameworks Provide technical mentorship and guidance to senior, mid-level, and associate data scientists and machine learning engineers. Collaborate closely with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring. Communicate complex analytical concepts and ROI metrics clearly to technical and non-technical stakeholders. Requirements: Experience with industrial IoT, telematics, edge AI, or time-series sensor data from heavy machinery, automotive, or aerospace domains. Background in computer vision (CV), autonomous vehicle tech, or robotics. 8 years of progressive levels of responsibility in analytics and AI in any business organization Programming: Advanced proficiency in Python and SQL; experience with R, Scala, or C is a plus. ML/AI Frameworks: Deep experience with Scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face. Big Data & Cloud: Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark. MLOps & DevOps: Demonstrated expertise in Docker, CI/CD pipelines, MLflow, model registry, monitoring, and automated retraining workflows. Familiarity with Agile/Scrum delivery frameworks within large enterprise environments. 8 years of experience is the manager's expectation for the principal level. Proven experience delivering analytics or AI projects tied to business outcomes, with demonstrated impact on revenue growth or margin improvement. Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services. From fields such as automotive, energy, CPG, or healthcare may also fit if they bring relevant business acumen. Experience working between business teams and IT/analytics: engaging senior business leaders (AVP level and above), gathering requirements, translating them into technology problems, and explaining solutions back to the business. Strong communication, business acumen, and ability to influence, including handling challenging conversations with senior leaders. Demonstrated experience mentoring junior team members. Industry Experience: Experience working in a portfolio company with multi-business units; preferably a manufacturing company Bring domain expertise in Supply chain, Manufacturing or Lifecycle services Consulting (nice to have) Personal Characteristics: Exceptional problem-solving, strategic thinking, and architectural design skills. Strong business acumen with the ability to link algorithmic output to measurable industrial impact Fit with Client culture AI and Business savvy person who understands how businesses make money and how AI tools can help businesses solve real business problems Strong EQ with the demonstrated ability to relate to both data scientists and business leaders A strong listener with strong written, and verbal communication skills Change agent who can lead via inspiration and motivation, subject knowledge, and demonstrating a "roll up your sleeves approach to working Preferred: Bachelor's degree in data science, mathematics, economics, statistics, engineering, or information management Advanced Degree (MBA and/or PhD) Background in computer vision (CV), autonomous vehicle tech, or robotics. Familiarity with Agile/Scrum delivery frameworks Awareness of and openness to market-based or vendor-led AI solutions - not assuming every solution must be built in-house. A consultative, outcome-focused approach: able to deliver a solution by building it, partnering with a vendor or consultancy, or using managed services. The Principal Data Scientist serves as the technical authority and strategic lead for enterprise artificial intelligence, machine learning, and advanced analytics initiatives across Client Corporation. In this role, you will architect cutting-edge AI solutions to optimize smart manufacturing, predictive maintenance, aftermarket parts and sales and supply chain operations. We offer attractive, competitive compensation and benefits including, medical, dental, 401k, short-term disability, AD&D, tuition reimbursement, and more. If you take pride in your work and are committed to personal and professional success, let's talk. Please visit to learn more. Zobility is RGBSI's workforce management and staffing division. RGBSI is a multi-national corporation headquartered in Troy, MI with branches throughout the USA, Canada, Germany, and India.
11/11/2026
Full time
Job Description Job Description Responsibilities: Define the technical roadmap and architecture for enterprise AI/ML initiatives aligned with business objectives. Partner with executive leaders across Access, Defense, Fire & Emergency, and Commercial segments to identify high-value analytics opportunities. Champion best practices for MLOps, model governance, ethical AI, and scalable data products. Lead the end-to-end design, development, and deployment of complex predictive, prescriptive, and generative AI models. Translate complex business challenges into production-ready data science frameworks Provide technical mentorship and guidance to senior, mid-level, and associate data scientists and machine learning engineers. Collaborate closely with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring. Communicate complex analytical concepts and ROI metrics clearly to technical and non-technical stakeholders. Requirements: Experience with industrial IoT, telematics, edge AI, or time-series sensor data from heavy machinery, automotive, or aerospace domains. Background in computer vision (CV), autonomous vehicle tech, or robotics. 8 years of progressive levels of responsibility in analytics and AI in any business organization Programming: Advanced proficiency in Python and SQL; experience with R, Scala, or C is a plus. ML/AI Frameworks: Deep experience with Scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face. Big Data & Cloud: Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark. MLOps & DevOps: Demonstrated expertise in Docker, CI/CD pipelines, MLflow, model registry, monitoring, and automated retraining workflows. Familiarity with Agile/Scrum delivery frameworks within large enterprise environments. 8 years of experience is the manager's expectation for the principal level. Proven experience delivering analytics or AI projects tied to business outcomes, with demonstrated impact on revenue growth or margin improvement. Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services. From fields such as automotive, energy, CPG, or healthcare may also fit if they bring relevant business acumen. Experience working between business teams and IT/analytics: engaging senior business leaders (AVP level and above), gathering requirements, translating them into technology problems, and explaining solutions back to the business. Strong communication, business acumen, and ability to influence, including handling challenging conversations with senior leaders. Demonstrated experience mentoring junior team members. Industry Experience: Experience working in a portfolio company with multi-business units; preferably a manufacturing company Bring domain expertise in Supply chain, Manufacturing or Lifecycle services Consulting (nice to have) Personal Characteristics: Exceptional problem-solving, strategic thinking, and architectural design skills. Strong business acumen with the ability to link algorithmic output to measurable industrial impact Fit with Client culture AI and Business savvy person who understands how businesses make money and how AI tools can help businesses solve real business problems Strong EQ with the demonstrated ability to relate to both data scientists and business leaders A strong listener with strong written, and verbal communication skills Change agent who can lead via inspiration and motivation, subject knowledge, and demonstrating a "roll up your sleeves approach to working Preferred: Bachelor's degree in data science, mathematics, economics, statistics, engineering, or information management Advanced Degree (MBA and/or PhD) Background in computer vision (CV), autonomous vehicle tech, or robotics. Familiarity with Agile/Scrum delivery frameworks Awareness of and openness to market-based or vendor-led AI solutions - not assuming every solution must be built in-house. A consultative, outcome-focused approach: able to deliver a solution by building it, partnering with a vendor or consultancy, or using managed services. The Principal Data Scientist serves as the technical authority and strategic lead for enterprise artificial intelligence, machine learning, and advanced analytics initiatives across Client Corporation. In this role, you will architect cutting-edge AI solutions to optimize smart manufacturing, predictive maintenance, aftermarket parts and sales and supply chain operations. We offer attractive, competitive compensation and benefits including, medical, dental, 401k, short-term disability, AD&D, tuition reimbursement, and more. If you take pride in your work and are committed to personal and professional success, let's talk. Please visit to learn more. Zobility is RGBSI's workforce management and staffing division. RGBSI is a multi-national corporation headquartered in Troy, MI with branches throughout the USA, Canada, Germany, and India.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Principal Data Scientist Description - Are you passionate about technology and looking to work in an agile start-up environment that is built on the brand recognition, solution capabilities, and global reach of a world-class technology pioneer? The HP Workforce Experience Platform team operates in a highly dynamic landscape that delivers a best-in-class, multi-OS Services portfolio powered by software, cloud, data analytics, and machine learning. The AI Systems team within HP Workforce Experience Platform team is seeking a forward-thinking Data Scientist who is passionate about driving innovation at scale, solving real-world customer issues through AI/ML and delivering stellar customer experiences using one of the largest data lakes in the world. Responsibilities: Work closely with product management to understand product vision and user engagement strategy for the WSS Managed Insights Team. Identify AI opportunities, prototype and iterate models, and deploy them across millions of devices. Work with Data Scientists and Software Engineers to deliver on the Data Science Roadmap in a fast-paced environment. Balance the business needs with technical constraints by building deep subject matter expertise for your area. Maintain the team's focus on strategy and goal-oriented results when tackling complex problems. Provide regular updates about program progress, issues, and risks to key stakeholders. Act as subject matter expert through internal training and demonstration of key product functionality for support, sales, onboarding, and other cross-functional teams. Comfortable with hands-on, day-to-day problem solving and implementing quick and effective action plans to meet short-term priorities and emerging opportunities. Influence decision making and problem solving across teams. Conduct A/B testing and experimentation. Education and Experience: Master's degree or PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Physics, etc.). 10+ years of industry experience in predictive modelling and data science roles. Knowledge and Skills: Passion for data science & delivering data driven outcomes. Extensive experience using statistics, mathematics, algorithms, and programming languages. Expert knowledge of SQL, Python and PySpark. Strong analytical and problem-solving skills. Fluent in structured and unstructured data, its management, and modern data transformation methodologies. Deep understanding of current Machine Learning concepts and tools. High EQ, ability to deal with ambiguity and work collaboratively in a high paced environment. Create stories and visualizations to describe and communicate data insights in a clean and simple manner. Excellent interpersonal and project management skills; ability to work across in-person and virtual team environments. Hands-on technical skills with the inquisitiveness to learn products, work with them, and provide recommendations to drive continuous improvement. Able to work independently yet collaborate cross-functionally in a global and multicultural environment. Able to manage multiple work streams effectively and provide timely updates to leadership. Comfortable and effective working in new areas that require experimentation and rapid problem solving. Preferred : Experience in one or more machine learning frameworks, such as Tensorflow/Keras, PyTorch, Spark MLlib, or Scikit-Learn. In-depth knowledge of one or more areas of deep learning, such as natural language generation (LLMs, Sentiment Analysis), recommendation systems, or computer vision. Experience in Cloud computing and MLOps, especially tools such as AWS (SageMaker, EMR, Redshift), Azure, Docker, and Airflow. Experience with Microsoft Graph API. The base pay range for this role is $154,400.00 - $227,750.00 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/11/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Principal Data Scientist Description - Are you passionate about technology and looking to work in an agile start-up environment that is built on the brand recognition, solution capabilities, and global reach of a world-class technology pioneer? The HP Workforce Experience Platform team operates in a highly dynamic landscape that delivers a best-in-class, multi-OS Services portfolio powered by software, cloud, data analytics, and machine learning. The AI Systems team within HP Workforce Experience Platform team is seeking a forward-thinking Data Scientist who is passionate about driving innovation at scale, solving real-world customer issues through AI/ML and delivering stellar customer experiences using one of the largest data lakes in the world. Responsibilities: Work closely with product management to understand product vision and user engagement strategy for the WSS Managed Insights Team. Identify AI opportunities, prototype and iterate models, and deploy them across millions of devices. Work with Data Scientists and Software Engineers to deliver on the Data Science Roadmap in a fast-paced environment. Balance the business needs with technical constraints by building deep subject matter expertise for your area. Maintain the team's focus on strategy and goal-oriented results when tackling complex problems. Provide regular updates about program progress, issues, and risks to key stakeholders. Act as subject matter expert through internal training and demonstration of key product functionality for support, sales, onboarding, and other cross-functional teams. Comfortable with hands-on, day-to-day problem solving and implementing quick and effective action plans to meet short-term priorities and emerging opportunities. Influence decision making and problem solving across teams. Conduct A/B testing and experimentation. Education and Experience: Master's degree or PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Physics, etc.). 10+ years of industry experience in predictive modelling and data science roles. Knowledge and Skills: Passion for data science & delivering data driven outcomes. Extensive experience using statistics, mathematics, algorithms, and programming languages. Expert knowledge of SQL, Python and PySpark. Strong analytical and problem-solving skills. Fluent in structured and unstructured data, its management, and modern data transformation methodologies. Deep understanding of current Machine Learning concepts and tools. High EQ, ability to deal with ambiguity and work collaboratively in a high paced environment. Create stories and visualizations to describe and communicate data insights in a clean and simple manner. Excellent interpersonal and project management skills; ability to work across in-person and virtual team environments. Hands-on technical skills with the inquisitiveness to learn products, work with them, and provide recommendations to drive continuous improvement. Able to work independently yet collaborate cross-functionally in a global and multicultural environment. Able to manage multiple work streams effectively and provide timely updates to leadership. Comfortable and effective working in new areas that require experimentation and rapid problem solving. Preferred : Experience in one or more machine learning frameworks, such as Tensorflow/Keras, PyTorch, Spark MLlib, or Scikit-Learn. In-depth knowledge of one or more areas of deep learning, such as natural language generation (LLMs, Sentiment Analysis), recommendation systems, or computer vision. Experience in Cloud computing and MLOps, especially tools such as AWS (SageMaker, EMR, Redshift), Azure, Docker, and Airflow. Experience with Microsoft Graph API. The base pay range for this role is $154,400.00 - $227,750.00 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
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 The Senior Infrastructure Engineer will provide technical leadership for the enterprise Snowflake platform, with responsibility for Snowflake administration, architecture, automation, operational excellence, modernization, and AI enablement. This role will lead complex initiatives, mentor colleagues, influence platform strategy, and partner across technology teams to deliver secure, scalable, resilient, and cost-effective data and analytics capabilities. This candidate will administer, maintain, and evolve the Snowflake platform, with a focus on platform health, performance, security and access controls, governance, connectivity, consumption, monitoring, and production support. The role will also evaluate and operationalize new Snowflake data and AI capabilities, ensuring appropriate security, governance, observability, and support processes are in place while managing platform risks in accordance with established risk and compliance requirements. Also responsible for administering, engineering, maintaining, and supporting the enterprise Snowflake platform and its integrated capabilities supporting critical data, analytics, and AI workloads. Ensures platform health, availability, security, governance, performance, and cost efficiency while enabling new Snowflake capabilities and maintaining reliable production services. Identifies and manages operational, security, and compliance risks in accordance with established risk and compliance requirements. 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 or Plano, TX. Relocation assistance is not available for this position. What you'll do: Independently designs scalable Snowflake platform solutions and leads complex implementations that improve availability, security, performance, governance, and operational efficiency. Independently resolves highly complex Snowflake and integrated platform production issues, leading troubleshooting across application, data, identity, network, cloud, and security dependencies. Evaluates and operationalizes new Snowflake features and capabilities, establishing appropriate architecture, security controls, governance, observability, documentation, and production support processes. Monitors and improves Snowflake platform health, performance, reliability, and consumption, identifying opportunities to improve customer experience and cost efficiency. Helps establish and improve Snowflake engineering and administration best practices, standards, and operational patterns across the platform. Partners with customers to understand data, analytics, and AI needs and identifies opportunities to safely enable Snowflake capabilities that deliver business value. Mentors engineers and provides technical coaching on the administration, implementation, operation, and support of enterprise Snowflake services. Develops and maintains Infrastructure as Code and automation solutions supporting Snowflake administration, configuration, deployment, and operations. Ensures risks associated with the Snowflake platform and newly enabled capabilities are appropriately identified, measured, monitored, and controlled. What you have: Bachelor's degree OR 4 years of relevant education and/or experience. 6 years of infrastructure experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s) to include 2 years' experience in Systems Operations environment supporting complex environment deployment and infrastructure management activities or applicable IT experience such as IT Management, Software Development, Data Engineering, and Agile Product/Release Management. 4 years of experience in creating, modifying, and maintaining infrastructure and individual system components. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. What sets you apart: Deep experience administering and engineering Snowflake at enterprise scale. Proven experience supporting large-scale SaaS or cloud-native platforms. Strong understanding of Snowflake architecture, performance optimization, security, governance, and networking. Experience implementing Infrastructure as Code solutions using Terraform and Git-based deployment practices. Experience designing and implementing platform automation and self-service capabilities. Experience supporting enterprise data, analytics, AI, or machine learning platforms. Experience leading platform modernization or cloud migration initiatives. Experience working in highly regulated environments with strong risk and compliance requirements. Demonstrated ability to mentor engineers and provide technical leadership on complex initiatives. Strong collaboration and communication skills with the ability to influence architecture and engineering decisions across organizations. Experience with cloud networking, private connectivity solutions (e.g., AWS PrivateLink), identity and access management, and security controls within SaaS platforms. Compensation range: The salary range for this position is: $114,080 - $218,030. 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.
11/11/2026
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 The Senior Infrastructure Engineer will provide technical leadership for the enterprise Snowflake platform, with responsibility for Snowflake administration, architecture, automation, operational excellence, modernization, and AI enablement. This role will lead complex initiatives, mentor colleagues, influence platform strategy, and partner across technology teams to deliver secure, scalable, resilient, and cost-effective data and analytics capabilities. This candidate will administer, maintain, and evolve the Snowflake platform, with a focus on platform health, performance, security and access controls, governance, connectivity, consumption, monitoring, and production support. The role will also evaluate and operationalize new Snowflake data and AI capabilities, ensuring appropriate security, governance, observability, and support processes are in place while managing platform risks in accordance with established risk and compliance requirements. Also responsible for administering, engineering, maintaining, and supporting the enterprise Snowflake platform and its integrated capabilities supporting critical data, analytics, and AI workloads. Ensures platform health, availability, security, governance, performance, and cost efficiency while enabling new Snowflake capabilities and maintaining reliable production services. Identifies and manages operational, security, and compliance risks in accordance with established risk and compliance requirements. 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 or Plano, TX. Relocation assistance is not available for this position. What you'll do: Independently designs scalable Snowflake platform solutions and leads complex implementations that improve availability, security, performance, governance, and operational efficiency. Independently resolves highly complex Snowflake and integrated platform production issues, leading troubleshooting across application, data, identity, network, cloud, and security dependencies. Evaluates and operationalizes new Snowflake features and capabilities, establishing appropriate architecture, security controls, governance, observability, documentation, and production support processes. Monitors and improves Snowflake platform health, performance, reliability, and consumption, identifying opportunities to improve customer experience and cost efficiency. Helps establish and improve Snowflake engineering and administration best practices, standards, and operational patterns across the platform. Partners with customers to understand data, analytics, and AI needs and identifies opportunities to safely enable Snowflake capabilities that deliver business value. Mentors engineers and provides technical coaching on the administration, implementation, operation, and support of enterprise Snowflake services. Develops and maintains Infrastructure as Code and automation solutions supporting Snowflake administration, configuration, deployment, and operations. Ensures risks associated with the Snowflake platform and newly enabled capabilities are appropriately identified, measured, monitored, and controlled. What you have: Bachelor's degree OR 4 years of relevant education and/or experience. 6 years of infrastructure experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s) to include 2 years' experience in Systems Operations environment supporting complex environment deployment and infrastructure management activities or applicable IT experience such as IT Management, Software Development, Data Engineering, and Agile Product/Release Management. 4 years of experience in creating, modifying, and maintaining infrastructure and individual system components. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. What sets you apart: Deep experience administering and engineering Snowflake at enterprise scale. Proven experience supporting large-scale SaaS or cloud-native platforms. Strong understanding of Snowflake architecture, performance optimization, security, governance, and networking. Experience implementing Infrastructure as Code solutions using Terraform and Git-based deployment practices. Experience designing and implementing platform automation and self-service capabilities. Experience supporting enterprise data, analytics, AI, or machine learning platforms. Experience leading platform modernization or cloud migration initiatives. Experience working in highly regulated environments with strong risk and compliance requirements. Demonstrated ability to mentor engineers and provide technical leadership on complex initiatives. Strong collaboration and communication skills with the ability to influence architecture and engineering decisions across organizations. Experience with cloud networking, private connectivity solutions (e.g., AWS PrivateLink), identity and access management, and security controls within SaaS platforms. Compensation range: The salary range for this position is: $114,080 - $218,030. 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 ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS Rocket Lab's Space Systems division builds complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space including solar panels, flight software, star trackers, optical systems, separation systems, and radios. The Space Systems division has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. We have built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help get to space - our Space Systems division is empowering the boldest and most ambitious space missions. PRINCIAL MACHINE LEARNING ENGINEER Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Rocket Lab Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains. As Principal Machine Learning Engineer for Rocket Lab Optical Systems in Long Beach, CA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing. WHAT YOU'LL DO Develop computer vision algorithms and deep neural networks for image and video processing chains. Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision. Work with physics-based image simulation frameworks to scale training and validation data. Design, train, and deploy machine learning models for Optical Systems applications. Preform rapid prototyping and enhanced development to be integrated into operational systems. Perform troubleshooting, bug fixes, and maintenance of existing and new systems. Stay current with ML research and evaluate new tools, frameworks, and techniques. WHAT WE'RE LOOKING FOR IN A PRINCIPAL MACHINE LEARNING ENGINEER: Bachelor's degree and 12+ years of experience, master's degree or a Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or related field. Strong background in math and fundamentals of machine learning, including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural networks (e.g., CNN) for computer vision, image processing, or analyses, e.g., object detection, image segmentation, and tracking) Strong math background, particularly linear algebra and optimization theory Proficiency in Python Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc) Software engineering fundamentals: version control, testing, CI/CD, containerization S. citizenship is required due to program requirements. Ability to obtain and maintain a U.S. Government Security Clearance. NICE TO HAVE: Proficiency in C/C++/Rust. Experience curating quality, real-world datasets for training deep learning models. TS/SCI security clearance. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package , giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $198,900-$318,200 USD Base Salary $153,000-$204,000 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.
11/11/2026
Full time
Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS Rocket Lab's Space Systems division builds complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space including solar panels, flight software, star trackers, optical systems, separation systems, and radios. The Space Systems division has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. We have built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help get to space - our Space Systems division is empowering the boldest and most ambitious space missions. PRINCIAL MACHINE LEARNING ENGINEER Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Rocket Lab Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains. As Principal Machine Learning Engineer for Rocket Lab Optical Systems in Long Beach, CA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing. WHAT YOU'LL DO Develop computer vision algorithms and deep neural networks for image and video processing chains. Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision. Work with physics-based image simulation frameworks to scale training and validation data. Design, train, and deploy machine learning models for Optical Systems applications. Preform rapid prototyping and enhanced development to be integrated into operational systems. Perform troubleshooting, bug fixes, and maintenance of existing and new systems. Stay current with ML research and evaluate new tools, frameworks, and techniques. WHAT WE'RE LOOKING FOR IN A PRINCIPAL MACHINE LEARNING ENGINEER: Bachelor's degree and 12+ years of experience, master's degree or a Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or related field. Strong background in math and fundamentals of machine learning, including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural networks (e.g., CNN) for computer vision, image processing, or analyses, e.g., object detection, image segmentation, and tracking) Strong math background, particularly linear algebra and optimization theory Proficiency in Python Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc) Software engineering fundamentals: version control, testing, CI/CD, containerization S. citizenship is required due to program requirements. Ability to obtain and maintain a U.S. Government Security Clearance. NICE TO HAVE: Proficiency in C/C++/Rust. Experience curating quality, real-world datasets for training deep learning models. TS/SCI security clearance. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package , giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $198,900-$318,200 USD Base Salary $153,000-$204,000 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area General Summary: The AI Developer Engineer is responsible for developing new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas for deployment. This role is critical part of Family Dollar's capability to build our own AI applications inhouse using top of line agent development kits, APIs, software libraries and interface with our vendors and partners to trial their products for fit within Family Dollar's IT estate, including our cloud environments, digital applications, and our operational systems. Principal Duties & Responsibilities: Design, build, and deploy production AI applications on Google Cloud Platform, applying machine learning and generative AI techniques to deliver solutions across merchandising, supply chain, store operations, finance, and customer experience. Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph), including multi-agent workflows, tool integration, and human-in-the-loop checkpoints. Build and operate retrieval-augmented generation (RAG) solutions that ground LLMs in Family Dollar's enterprise data, including ingestion, embeddings, vector and hybrid search, reranking, and evaluation. Establish and maintain MLOps pipelines for AI workloads, including CI/CD, model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures. Implement enterprise-grade guardrails for AI applications, including prompt injection defense, PII handling, content safety, role-based access controls, and audit logging - partnering closely with platform, security, infrastructure, and business stakeholders to ensure deployments meet Family Dollar's standards for identity, networking, data residency, and compliance. Evaluate vendor and partner AI products for fit within Family Dollar's IT estate; build proofs of concept, run technical bake-offs, and produce clear recommendations. Execute experiments to vet emerging AI capabilities and determine their internal product-market fit. Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution. Manage the full lifecycle of your code, from initial prompt engineering and fine-tuning to CI/CD and real-time monitoring of agent performance. Mentor junior engineers and share knowledge across the AI and Automation team. Partner with IT support teams to co-own AI application support, including on-call coverage, while progressively transitioning ownership through SOPs, runbooks, and helpdesk documentation Performs other duties as assigned Position Requirements: Fully onsite office work environment Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). 2+ years of experience developing AI solutions. Write clean, well-tested, well-documented Python code; conduct code reviews; and contribute to internal libraries, templates, and engineering best practices. Ability in developing, presenting and communicating technical concepts to varying audiences. Possesses a sense of urgency as well as the ability to motivate a team towards achieving results in a dynamic environment Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc). Advanced knowledge of recent GenAI platform advancements from top providers as well as equivalent platforms hyperscalers Experienced in responsible AI practices, model governance, and frameworks for evaluating LLM safety and accuracy. Contributions to open-source AI projects or relevant publications "Projected Salary Range: $121,000 to $151,000" 20% Bonus opportunity + other incentives Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Development Family Dollar
11/11/2026
Full time
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area General Summary: The AI Developer Engineer is responsible for developing new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas for deployment. This role is critical part of Family Dollar's capability to build our own AI applications inhouse using top of line agent development kits, APIs, software libraries and interface with our vendors and partners to trial their products for fit within Family Dollar's IT estate, including our cloud environments, digital applications, and our operational systems. Principal Duties & Responsibilities: Design, build, and deploy production AI applications on Google Cloud Platform, applying machine learning and generative AI techniques to deliver solutions across merchandising, supply chain, store operations, finance, and customer experience. Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph), including multi-agent workflows, tool integration, and human-in-the-loop checkpoints. Build and operate retrieval-augmented generation (RAG) solutions that ground LLMs in Family Dollar's enterprise data, including ingestion, embeddings, vector and hybrid search, reranking, and evaluation. Establish and maintain MLOps pipelines for AI workloads, including CI/CD, model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures. Implement enterprise-grade guardrails for AI applications, including prompt injection defense, PII handling, content safety, role-based access controls, and audit logging - partnering closely with platform, security, infrastructure, and business stakeholders to ensure deployments meet Family Dollar's standards for identity, networking, data residency, and compliance. Evaluate vendor and partner AI products for fit within Family Dollar's IT estate; build proofs of concept, run technical bake-offs, and produce clear recommendations. Execute experiments to vet emerging AI capabilities and determine their internal product-market fit. Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution. Manage the full lifecycle of your code, from initial prompt engineering and fine-tuning to CI/CD and real-time monitoring of agent performance. Mentor junior engineers and share knowledge across the AI and Automation team. Partner with IT support teams to co-own AI application support, including on-call coverage, while progressively transitioning ownership through SOPs, runbooks, and helpdesk documentation Performs other duties as assigned Position Requirements: Fully onsite office work environment Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). 2+ years of experience developing AI solutions. Write clean, well-tested, well-documented Python code; conduct code reviews; and contribute to internal libraries, templates, and engineering best practices. Ability in developing, presenting and communicating technical concepts to varying audiences. Possesses a sense of urgency as well as the ability to motivate a team towards achieving results in a dynamic environment Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc). Advanced knowledge of recent GenAI platform advancements from top providers as well as equivalent platforms hyperscalers Experienced in responsible AI practices, model governance, and frameworks for evaluating LLM safety and accuracy. Contributions to open-source AI projects or relevant publications "Projected Salary Range: $121,000 to $151,000" 20% Bonus opportunity + other incentives Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Development Family Dollar
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, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. Additionally, you will be responsible for the team's model inventory, ensuring compliance with USAA's model risk management policies and regulatory requirements. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization. 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, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. 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 Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. 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.
11/11/2026
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, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. Additionally, you will be responsible for the team's model inventory, ensuring compliance with USAA's model risk management policies and regulatory requirements. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization. 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, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. 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 Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. 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 Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. Additionally, you will be responsible for the team's model inventory, ensuring compliance with USAA's model risk management policies and regulatory requirements. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization. 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, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. 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 Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. 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.
11/11/2026
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, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. Additionally, you will be responsible for the team's model inventory, ensuring compliance with USAA's model risk management policies and regulatory requirements. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization. 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, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. 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 Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. 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.
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
