Ampcus, Inc
Job Title
Sr. Manager Generative Engineering
Location Vienna, VA
Job Summary Our client is looking for a Sr. Manager Generative Engineering. 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. The successful candidate will provide delivery and ongoing support for client’s data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the effective implementation of AI initiatives across the organization, while demonstrating strong communication, technical leadership, and organizational skills. They will assist in leading the coordination of strategic program delivery across Enterprise Data & Information Management (EDIM) disciplines. The incumbent will be considered a subject matter expert and a key stakeholder/key contributor on highly complex initiatives and project teams.
Job Responsibilities
Lead Enterprise AI Center for Enablement and ensure its services and deliverables align with Client's overall strategic goals.
Partner with senior EDIM, technology product, and engineering leaders to shape and contribute to the strategic goals and direction needed to continuously evolve Client's AI Center For Enablement capabilities.
Lead technology strategy and roadmap development efforts to drive business unit data and AI modernization.
Collaborate with Enterprise Architecture, Cloud Native Engineering, and Microsoft support to build and operationalize AI Anchor Platform as a Service.
Manage AI Engineering and Operations teams, fostering continuous upskilling to enable the design, deployment, and scaling of Generative‑AI solutions.
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.
Coordinate the implementation of AI Operational Governance controls by collaborating with the AI Strategy team.
Support machine‑ready Knowledge Management Engineering efforts and drive AI accuracy by implementing measurable data quality metrics.
Drive and enable AI products, including Developer Productivity Tools, across the organization with a high degree of adoption and capture metrics to measure their impact.
Manage and coach the AI Engineering and AI Operations teams, fostering a collaborative and high‑performance work environment.
Assist with leading the formation of cross organizational communities of practice to enable federated development activities for AI driven process efficiencies.
Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP).
Educational Qualifications
Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.
Preferred Skillset and Experience
Experience in leading, designing, implementing, and managing large‑scale AI and machine learning solutions, including production‑grade Generative‑AI applications in a large multiservice environment.
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.
Expert knowledge and understanding of the end‑to‑end IT process.
Expert knowledge of financial planning and analysis including cost allocation and budgeting.
Proven expertise in managing vendor relationships for SOW execution.
Expert ability to communicate effectively about AI with a broad range of audiences.
Expert problem solving, collaboration, critical thinking, team building, and presentation skills.
Expert skill in applying innovative approaches to solving technical design issues.
Solid experience with Python and SQL.
Desired Qualifications
Master's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.
Expert knowledge of Client's 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.
Equal Opportunity Employer Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.
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Location Vienna, VA
Job Summary Our client is looking for a Sr. Manager Generative Engineering. 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. The successful candidate will provide delivery and ongoing support for client’s data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the effective implementation of AI initiatives across the organization, while demonstrating strong communication, technical leadership, and organizational skills. They will assist in leading the coordination of strategic program delivery across Enterprise Data & Information Management (EDIM) disciplines. The incumbent will be considered a subject matter expert and a key stakeholder/key contributor on highly complex initiatives and project teams.
Job Responsibilities
Lead Enterprise AI Center for Enablement and ensure its services and deliverables align with Client's overall strategic goals.
Partner with senior EDIM, technology product, and engineering leaders to shape and contribute to the strategic goals and direction needed to continuously evolve Client's AI Center For Enablement capabilities.
Lead technology strategy and roadmap development efforts to drive business unit data and AI modernization.
Collaborate with Enterprise Architecture, Cloud Native Engineering, and Microsoft support to build and operationalize AI Anchor Platform as a Service.
Manage AI Engineering and Operations teams, fostering continuous upskilling to enable the design, deployment, and scaling of Generative‑AI solutions.
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.
Coordinate the implementation of AI Operational Governance controls by collaborating with the AI Strategy team.
Support machine‑ready Knowledge Management Engineering efforts and drive AI accuracy by implementing measurable data quality metrics.
Drive and enable AI products, including Developer Productivity Tools, across the organization with a high degree of adoption and capture metrics to measure their impact.
Manage and coach the AI Engineering and AI Operations teams, fostering a collaborative and high‑performance work environment.
Assist with leading the formation of cross organizational communities of practice to enable federated development activities for AI driven process efficiencies.
Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP).
Educational Qualifications
Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.
Preferred Skillset and Experience
Experience in leading, designing, implementing, and managing large‑scale AI and machine learning solutions, including production‑grade Generative‑AI applications in a large multiservice environment.
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.
Expert knowledge and understanding of the end‑to‑end IT process.
Expert knowledge of financial planning and analysis including cost allocation and budgeting.
Proven expertise in managing vendor relationships for SOW execution.
Expert ability to communicate effectively about AI with a broad range of audiences.
Expert problem solving, collaboration, critical thinking, team building, and presentation skills.
Expert skill in applying innovative approaches to solving technical design issues.
Solid experience with Python and SQL.
Desired Qualifications
Master's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.
Expert knowledge of Client's 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.
Equal Opportunity Employer Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.
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