Artificial Intelligence

• Lead enterprise AI strategy, delivery, and governance using Gemini for Enterprise, Vertex AI, and modern ML/GenAI technologies
• Drive high-impact AI initiatives and build scalable platforms
• Define AI vision, strategy, and roadmap aligned to business goals
• Identify high-value AI/ML use cases across operations, customer experience, risk, and productivity
• Architect and deliver end-to-end AI/ML solutions, including LLMs, RAG, pipelines, MLOps, and CI/CD
• Lead workshops, stakeholder alignment, and executive communication
• Oversee model governance, responsible AI, security, compliance, and performance tracking
• Mentor data scientists, ML engineers, analysts, and platform engineers

AI/ML Lead

• Design, refine, and iterate prompts for generative AI models and LLMs
• Test prompt variations and analyze results to drive continuous improvement
• Collaborate with multiple groups to integrate prompts and streamline manual processes
• Research advancements in LLMs, generative AI, and prompt engineering techniques
• Provide input on and collaborate on model fine-tuning and Retrieval Augmented Generation strategies
• Debug unexpected model behaviors and identify root causes in prompt structure, model limitations, or data context
• Translate complex requirements into effective AI interactions
• Develop innovative software solutions as part of a technically diverse and geographically dispersed team
• Support Agile software delivery and deployment in short sprints

AI Prompt Engineer

• Design and implement technical capabilities supporting the AI Governance Framework across the AI lifecycle
• Translate AI policies, standards, and requirements into technical controls and automated governance workflows
• Develop tooling to identify, register, classify, and assess AI use cases
• Establish governance patterns and reusable components for AI development and deployment pipelines
• Automate standards for evidence collection and documentation supporting governance, audit, and assurance
• Design technical guardrails and best practices for AI systems, including usage constraints, access patterns, and safeguards
• Partner with Privacy, Legal, Cybersecurity, Global Supply Chain, and other governance bodies
• Develop enterprise visibility into AI systems and lifecycle, including Shadow AI detection and management
• Implement ongoing monitoring and observability of AI systems
• Improve AI governance practices, patterns, and tooling across the organization
• Report to the Manager, Data & AI Governance & Strategy

Senior Principal AI Governance Engineer

• Assist with implementation, integration, and operations of Google Gemini for Gov, M365 Copilot, and ChatGPT Gov Enterprise offerings
• Support secure, scalable, and compliant deployment of enterprise AI platforms aligned with federal standards and organizational objectives
• Collaborate with cross-functional stakeholders and AFS Leadership to deliver high-quality, scalable, innovative AI-based applications
• Support project activities including procurement, NIST 800-171 security approvals handled by the operations team, Entra ID SSO integration, logging integration, user feedback collection, and operational readiness with dedicated support resources
• Assist in solving technical problems and apply existing methods while learning new approaches
• Manage the licensing process
• Manage application configuration
• Manage features against FedRAMP-approved services
• Help identify and resolve technical issues and dependencies throughout the development lifecycle
• Collaborate with the team to ensure adherence to best practices, coding standards, and security protocols
• Contribute to documentation and knowledge-sharing for operational readiness
• Continuously learn and stay informed about AI technologies and industry practices

Enterprise AI Feature Engineer

• Administer and maintain the AI Workbench platform across private, on-premise, hybrid, or cloud environments
• Configure user access, role-based access control, tenant-level segregation, permissions, and platform security settings
• Support onboarding of users, teams, agents, workflows, APIs, data sources, and LLM connections
• Monitor platform health, availability, security, performance, usage, and operational metrics
• Manage AI agent lifecycle activities including agent registration, configuration, deployment, versioning, and operational readiness
• Support RAG-based retrieval layers, vectorized knowledge bases, document ingestion pipelines, and data preprocessing workflows
• Coordinate with DevOps/DataOps teams to maintain CI/CD pipelines, infrastructure automation, deployment workflows, rollback processes, and environment configuration
• Support integrations with ServiceNow, SAP, SharePoint, APIs, MCP registries, data sources, and private LLM services
• Maintain governance controls for prompts, agents, workflows, data access, naming conventions, tagging, audit logging, and policy adherence
• Collaborate with architects, engineers, testers, product owners, business analysts, security teams, and client stakeholders
• Troubleshoot platform issues, analyze logs, and coordinate incident resolution

AI Workbench Admin

• Develop and drive the enterprise-wide AI and Generative AI strategy
• Prioritize the AI technology roadmap and support senior leadership in strategic planning and execution
• Identify opportunities for member value and improved member experience through AI innovation
• Align member-centric strategic initiatives with AI advancements
• Collaborate with cross-functional teams and enterprise stakeholders, including risk, compliance, and innovation groups
• Identify, assess, and implement AI opportunities aligned with member and business needs
• Partner with legal, compliance, and governance teams to establish ethical AI practices and regulatory compliance
• Develop and uphold enterprise AI guidelines
• Explain complex AI concepts and strategies to non-technical stakeholders through presentations and documentation
• Provide ongoing support and direction during implementation, resolving hurdles
• Apply design thinking to AI initiatives and promote continuous improvement and learning
• Monitor AI advancements, industry trends, and best practices to enhance initiatives and drive growth
• Coordinate with cross-enterprise stakeholders and manage vendor relationships

Artificial Intelligence jobs in Virginia

AI/ML Lead

AI Prompt Engineer

Senior Principal AI Governance Engineer

Enterprise AI Feature Engineer

AI Workbench Admin

AI Strategist