AI Engineer and Architect

Job description

Job Family: Data Science & Analysis Travel Required: Up to 10% Clearance Required: Active Secret Job Summary: The AI Engineer supports system-specific implementations that embed AI/ML and agentic automation to accelerate metadata identification, extraction, enrichment, and documentation. This role owns the metadata harvesting plan and leads the design and implementation of AI-assisted workflows that generate validated metadata artifacts (e.g., semantic tags, data dictionary entries, and supporting documentation) using client-approved tools and human-in-the-loop steward review cycles. The AI Engineer is accountable for automated metadata harvesting and documentation, delivering automated harvesting and AI-assisted documentation outputs while operating within approved governance and security guardrails. Key Responsibilities: Design AI-assisted metadata harvesting & enrichment: Build AI/ML-enabled approaches to identify, extract, normalize, and enrich technical, business, and operational metadata from structured and semi-structured sources (e.g., databases, pipelines, file/document repositories) and generate semantic tags and documentation outputs. Implement agentic/GenAI workflows fo...