Principal Forward Deployed AI Engineer

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