Sr Mgr Generative Engineering
JOB_53428931179169Job type
PermanentLocation
VirginiaProfession
Other/tbcIndustry
Technology & Internet ServicesPay
$190,000 - $225,000.
Sr Mgr. Generative Engineering – Permanent – Vienna, VA – $190,000 - $225,000.
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.
Applicants must be legally authorized to work in the United States. Visa sponsorship not available.
Our client is seeking a Sr Mgr. Generative Engineering in Vienna, VA.
Role Description
The Cognitive and Generative-AI Engineering team, within the Enterprise Data and Information Management (EDIM) department, is responsible for designing and implementing advanced AI systems to enhance and scale AI adoption across the organization. This pivotal role drives the AI Center for Enablement by leading skilled AI Engineering talent and AI Operations, spurring innovation, attracting top talent, and fostering collaboration with business partners, Enterprise Technology Services, Enterprise AI Strategy, the AI Working Group, and external technology partners. Additionally, this person will operationalize an Enterprise AI Anchor Platform, nurture an AI-as-a-service culture, and enable the organization to maximize the value from AI investments.
• Lead Enterprise AI Center for Enablement and ensure its services and deliverables align with NFCU’s overall strategic goals and Agentic Transformation program objectives.
• Partner with senior EDIM, technology product, and engineering leaders to shape and contribute to the strategic goals and direction needed to continuously evolve NFCU's AI Center For Enablement capabilities.
• Lead/Conduct technology strategy and roadmap development efforts to drive business unit Data and AI modernization efforts.
• Collaborate with Enterprise Architecture, Cloud Native Engineering, and Microsoft support to build and operationalize AI Anchor Platform as a Service, comprising Model Garden and Control Plane by leveraging Azure and OpenAI technologies.
• Manage AI Engineering and Operations teams, fostering continuous upskilling to enable the design, deployment, and scaling of Generative-AI solutions that boost efficiency and spur innovation.
• Oversee AI standards, best practices, and establish guardrails to ensure secure, ethical, and responsible AI principles are integral to the solutions.
• Ensure consistent application of broader EDIM standards and best practices while planning, developing, reviewing, and enforcing enterprise architectural standards.
Skills & Requirements
• Bachelor’s degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.
• Experience in leading, designing, implementing, and managing large-scale AI and machine learning solutions, including production-grade Generative-AI applications preferably, in a large multi-function financial services organization.
• Strong technical skills in AI technologies, including experience with Azure and OpenAI familiarity with building and operationalizing AI platforms equipped with Model Garden and Control Plane, and Agentic AI.
• Experience in executing on strategic AI initiatives and aligning foundational AI capabilities with the organization's overall strategic goals and transformation objectives.
• Experience with delivering AI solutions that accelerate productivity.
• Extensive experience with system architecture in a service-oriented and enterprise service business environment, focusing on designing and implementing scalable, reliable, and efficient systems.
• Extensive experience in building a Knowledge Base for AI, cloud migration and engineering cloud centric environments.
• Experience supporting AI Operations, observability and incident management.
• Extensive experience with Agile practices including Scrum, Azure DevOps, Git and CI/CD.
• Expert knowledge of project lifecycles and management methodologies.
• Expert knowledge of engineering principles, practices, and theories, and methods to identify and solve the highest complex problems and perform sophisticated analyses.
• Expert knowledge and understanding of the end-to-end IT process, including architecture, design & engineering, implementation, and operations, ensuring seamless integration and optimal delivery across all stages.
• Experience in financial planning and analysis, encompassing comprehensive cost allocation, continuous budget oversight, and strategic scenario modeling.
Proven expertise in managing vendor relationships for Statement of Work (SOW) execution, developing risk mitigation strategies, and maintaining effective communication channels to ensure successful project outcomes.
• Expert ability to communicate effectively about AI with a broad range of audiences, from sophisticated technical resources to those with little or no technical background.
• Expert problem solving, collaboration, critical thinking, team building, and presentation skills.
• Expert skill in applying innovative approaches to solving technical design issues.
• Expert verbal, interpersonal and written communication skills.
• Solid experience with Python and SQL required.
• Master’s in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.
• Expert knowledge of Navy Federal products, services, programs, policies and procedures.
• Experience in advanced AI/ML technologies.
• Experience building and supporting Enterprise grade APIs.
• Expert knowledge of banking/financial industry trends, products, and services.
• Experience working in an AI Center for Enablement.
Benefits/Other Compensation:
Medical, Dental, Life Insurance, 401K.
Why Hays?
You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.
Nervous about an upcoming interview? Unsure how to write a new resume?
Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.
Drug testing may be required; please contact a recruiter for more information.
#LI-DNI
Applicants must be legally authorized to work in the United States. Visa sponsorship not available.
Our client is seeking a Sr Mgr. Generative Engineering in Vienna, VA.
Role Description
The Cognitive and Generative-AI Engineering team, within the Enterprise Data and Information Management (EDIM) department, is responsible for designing and implementing advanced AI systems to enhance and scale AI adoption across the organization. This pivotal role drives the AI Center for Enablement by leading skilled AI Engineering talent and AI Operations, spurring innovation, attracting top talent, and fostering collaboration with business partners, Enterprise Technology Services, Enterprise AI Strategy, the AI Working Group, and external technology partners. Additionally, this person will operationalize an Enterprise AI Anchor Platform, nurture an AI-as-a-service culture, and enable the organization to maximize the value from AI investments.
• Lead Enterprise AI Center for Enablement and ensure its services and deliverables align with NFCU’s overall strategic goals and Agentic Transformation program objectives.
• Partner with senior EDIM, technology product, and engineering leaders to shape and contribute to the strategic goals and direction needed to continuously evolve NFCU's AI Center For Enablement capabilities.
• Lead/Conduct technology strategy and roadmap development efforts to drive business unit Data and AI modernization efforts.
• Collaborate with Enterprise Architecture, Cloud Native Engineering, and Microsoft support to build and operationalize AI Anchor Platform as a Service, comprising Model Garden and Control Plane by leveraging Azure and OpenAI technologies.
• Manage AI Engineering and Operations teams, fostering continuous upskilling to enable the design, deployment, and scaling of Generative-AI solutions that boost efficiency and spur innovation.
• Oversee AI standards, best practices, and establish guardrails to ensure secure, ethical, and responsible AI principles are integral to the solutions.
• Ensure consistent application of broader EDIM standards and best practices while planning, developing, reviewing, and enforcing enterprise architectural standards.
Skills & Requirements
• Bachelor’s degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.
• Experience in leading, designing, implementing, and managing large-scale AI and machine learning solutions, including production-grade Generative-AI applications preferably, in a large multi-function financial services organization.
• Strong technical skills in AI technologies, including experience with Azure and OpenAI familiarity with building and operationalizing AI platforms equipped with Model Garden and Control Plane, and Agentic AI.
• Experience in executing on strategic AI initiatives and aligning foundational AI capabilities with the organization's overall strategic goals and transformation objectives.
• Experience with delivering AI solutions that accelerate productivity.
• Extensive experience with system architecture in a service-oriented and enterprise service business environment, focusing on designing and implementing scalable, reliable, and efficient systems.
• Extensive experience in building a Knowledge Base for AI, cloud migration and engineering cloud centric environments.
• Experience supporting AI Operations, observability and incident management.
• Extensive experience with Agile practices including Scrum, Azure DevOps, Git and CI/CD.
• Expert knowledge of project lifecycles and management methodologies.
• Expert knowledge of engineering principles, practices, and theories, and methods to identify and solve the highest complex problems and perform sophisticated analyses.
• Expert knowledge and understanding of the end-to-end IT process, including architecture, design & engineering, implementation, and operations, ensuring seamless integration and optimal delivery across all stages.
• Experience in financial planning and analysis, encompassing comprehensive cost allocation, continuous budget oversight, and strategic scenario modeling.
Proven expertise in managing vendor relationships for Statement of Work (SOW) execution, developing risk mitigation strategies, and maintaining effective communication channels to ensure successful project outcomes.
• Expert ability to communicate effectively about AI with a broad range of audiences, from sophisticated technical resources to those with little or no technical background.
• Expert problem solving, collaboration, critical thinking, team building, and presentation skills.
• Expert skill in applying innovative approaches to solving technical design issues.
• Expert verbal, interpersonal and written communication skills.
• Solid experience with Python and SQL required.
• Master’s in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.
• Expert knowledge of Navy Federal products, services, programs, policies and procedures.
• Experience in advanced AI/ML technologies.
• Experience building and supporting Enterprise grade APIs.
• Expert knowledge of banking/financial industry trends, products, and services.
• Experience working in an AI Center for Enablement.
Benefits/Other Compensation:
Medical, Dental, Life Insurance, 401K.
Why Hays?
You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.
Nervous about an upcoming interview? Unsure how to write a new resume?
Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.
Drug testing may be required; please contact a recruiter for more information.
#LI-DNI
Sr Mgr Generative EngineeringJOB_534289311791692025-09-122025-12-11
JOB_53428931179169