Forward Deployed Engineer

Booz Allen Hamilton•McLean, VA

5h•$77,600 - $176,000•Hybrid

About The Position

Turn validated AI solutions into working customer deployments. Work directly with customers to implement workflows, integrate enterprise systems, and demonstrate that solutions meet agreed technical acceptance criteria. Adapt reusable agent components, configure customer environments and instrumentation, and diagnose integration, retrieval, model, and workflow issues. Establish customer evaluation baselines, coordinate readiness reviews, and prepare deployment, rollback, troubleshooting, and enablement materials. The role is accountable for implementation quality, initial deployment, technical acceptance, and explicit handover to designated operational owners and Customer Success. Return reusable improvements and recurring defects to engineering.

Requirements

Experience delivering customer-facing software or AI implementations from requirements through deployment and technical handover.
Experience in Python or TypeScript and integrating enterprise APIs, authentication, data sources, and business workflows.
Experience developing or adapting agent workflows, model integrations, retrieval-augmented generation, and tool connections.
Experience deploying applications in cloud or enterprise environments and configuring access, secrets, and application security controls.
Experience building customer-specific test and evaluation suites and validating results against agreed quality and performance thresholds.
Ability to implement end-to-end instrumentation and use traces, logs, and metrics to troubleshoot behavior, integrations, latency, and cost.
Ability to prepare deployment and rollback procedures, runbooks, solution inventories, and technical knowledge-transfer materials.
Ability to manage implementation dependencies, communicate limitations, and obtain explicit acceptance of deliverables and support responsibilities.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
Bachelor's degree.

Nice To Haves

Experience with LangGraph, MCP servers, LangSmith, Langfuse, or comparable integration and observability tools.
Experience coordinating production readiness reviews and customer-specific incidents during implementation.
Experience converting customer implementation patterns into reusable components, templates, or engineering improvements.

Responsibilities

Implement customer workflows and integrate enterprise systems to deliver validated AI solutions.
Adapt reusable agent components and configure customer environments and instrumentation.
Diagnose integration, retrieval, model, and workflow issues.
Establish customer evaluation baselines and validate solutions against agreed technical acceptance criteria.
Coordinate readiness reviews and prepare deployment, rollback, troubleshooting, and enablement materials.
Ensure implementation quality, initial deployment, technical acceptance, and explicit handover to operational owners and Customer Success.
Share reusable improvements and recurring defects with engineering.
Manage implementation dependencies, communicate limitations, and obtain explicit acceptance of deliverables and support responsibilities.