Forward Deployed Engineer

Booz Allen Hamilton•McLean, VA

11d

About The Position

The Forward Deployed Engineer turns validated AI solutions into working customer deployments. The role works directly with customers to implement workflows, integrate enterprise systems, and demonstrate that solutions meet agreed technical acceptance criteria. Responsibilities include adapting reusable agent components, configuring customer environments and instrumentation, and diagnosing integration, retrieval, model, and workflow issues. The engineer establishes customer evaluation baselines, coordinates readiness reviews, and prepares deployment, rollback, troubleshooting, and enablement materials. Accountability includes implementation quality, initial deployment, technical acceptance, and explicit handover to designated operational owners and Customer Success. Reusable improvements and recurring defects are relayed to engineering. Applicants must be able to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements. Selected applicants will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. The projected annualized compensation range is $77,600 to $176,000 USD. Salary depends on factors including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. This posting will close within 90 days from its Posting Date. Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible to participate in Booz Allen benefit programs. Offerings include health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. The work model depends on the position listing. Remote positions may occasionally require attendance at a Booz Allen or customer facility; hybrid positions involve facility work according to leadership expectations and role needs; onsite positions are primarily performed full-time at a customer facility. The posting does not specify this role's work location type.

Requirements

Experience delivering customer-facing software or AI implementations from requirements through deployment and technical handover.
Experience with Python or TypeScript and integration of 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.
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.
Prepare deployment, rollback, troubleshooting, and enablement materials.
Deliver implementation quality, initial deployment, technical acceptance, and explicit handover to operational owners and Customer Success.
Return reusable improvements and recurring defects to engineering.
Manage implementation dependencies, communicate limitations, and obtain explicit acceptance of deliverables and support responsibilities.
Prepare runbooks, solution inventories, and technical knowledge-transfer materials.