We are seeking a Principal Forward Deployed AI Engineer to own end-to-end AI delivery across multiple streams, leading mini-teams and partnering closely with business stakeholders, solution architects, data engineers and analysts to design, build and scale production-grade agentic AI systems. Responsibilities Own end-to-end AI delivery across two streams, lead a mini-team per stream (Senior AI Engineer, AI Engineer, DQ Engineer, Analyst) Embed with business stakeholders, the GE Solution Architect, data engineers and analysts to refine requirements and user journeys Brainstorm and own the agent architecture/harness and its connections to data sources Design SME/end-user feedback loops that drive continuous agent improvement Design evaluation pipelines and stand up the agent-evaluation process Design the observability/telemetry layer Decide which user journeys are best served via chat vs A2UI Influence ETL, transformation and vectorization decisions with data engineering Requirements 7+ years of experience in AI/ML engineering, with a track record of leading teams and owning end-to-end delivery of production AI systems Expertise in agent architecture design and orchestration frameworks, including RAG pipelines and harness design Proficiency in Vertex AI Search, BigQuery and NL2SQL Skills in integrating external APIs and data sources into agentic systems Background in designing evaluation pipelines, including LLM-as-judge methodologies and golden set curation for citations/completeness Knowledge of observability and telemetry systems, including tracing, quality metrics and BigQuery telemetry Understanding of ETL, data transformation and vectorization processes Familiarity with chat and A2UI interaction paradigms to determine optimal user journey design