Forward Deployed Engineer

Booz Allen Hamilton•McLean, VA
•$62,000 - $141,000

About The Position

Turn validated AI solutions into working customer deployments by implementing workflows, integrating enterprise systems, and demonstrating 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. Be 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. U.S. citizenship is required due to the nature of work performed within the facility. Applicants selected will be subject to a government investigation and may need to meet U.S. government client eligibility requirements, including obtaining and maintaining a Public Trust or Suitability/Fitness determination based on client requirements.

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.
  • U.S. citizenship is required.

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

  • Deliver customer-facing software or AI implementations from requirements through deployment and technical handover.
  • Implement customer workflows and integrate enterprise systems, APIs, authentication, data sources, and business processes.
  • Adapt agent workflows, model integrations, retrieval-augmented generation, and tool connections for customer use.
  • Deploy applications in cloud or enterprise environments and configure access, secrets, and application security controls.
  • Build customer-specific test and evaluation suites and validate results against agreed quality and performance thresholds.
  • Implement end-to-end instrumentation and use traces, logs, and metrics to troubleshoot behavior, integrations, latency, and cost.
  • Establish customer evaluation baselines and coordinate production readiness reviews.
  • Prepare deployment and rollback procedures, runbooks, solution inventories, troubleshooting and enablement materials, and technical knowledge-transfer materials.
  • Manage implementation dependencies, communicate limitations, and obtain explicit acceptance of deliverables and support responsibilities.
  • Own implementation quality, initial deployment, technical acceptance, and handover to operational owners and Customer Success.
  • Provide reusable improvements and recurring defects to engineering.

Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards program for exceptional performance and demonstration of company values.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service