Senior Manager Generative Engineering

Overview

Title:

Senior Manager Generative Engineering

Location:

Vienna, VA

Duration:
Permanent Placement

Compensation:
Up to $225,000, depending on experience

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

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.

• Lead Enterprise AI Center for Enablement and ensure its services and deliverables align with client 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 client 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.
• Coordinate the implementation of AI Operational Governance controls by collaborating with the AI Strategy team, AI Working Group, Model Risk Management, and Cyber Security teams to ensure secure AI practices, enhance explainability, and maintain comprehensive audit tracking.
• Support machine-ready Knowledge Management Engineering efforts and drive AI accuracy by implementing measurable data quality metrics and establishing advanced domain adaptation techniques like advanced RAG to meet business needs.
• 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 to drive continuous improvement.
• 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) to drive client value outcomes.

• Bachelor s degree in Computer Science, Data…