Principal Forward Deployed AI Engineer

EPAM Systems Inc
  • Atlanta, GA
    2 days ago

    Job Description

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    Principal Forward Deployed AI Engineer

    Remote in Georgia, & 4 others

    AI Solution Engineering

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    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

    Numbers & Facts

    LocationAtlanta, GA

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