Job description

Forward Deployed Engineer The Opportunity: Turn validated AI solutions into working customer deployments. You will work directly with customers to implement workflows, integrate enterprise systems, and demonstrate that the solution meets agreed technical acceptance criteria. You will adapt reusable agent components, configure customer environments and instrumentation, and diagnose integration, retrieval, model, and workflow issues. You will establish customer evaluation baselines, coordinate readiness reviews, and prepare deployment, rollback, troubleshooting, and enablement materials. Your accountability includes implementation quality, initial deployment, technical acceptance, and explicit handover to designated operational owners and Customer Success. You will return reusable improvements and recurring defects to engineering. Due to the nature of work performed within this facility, U.S. citizenship is required. Join us. The world can t wait. You Have: 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 If You Have: 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 Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership s expectations and the needs of the role. Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Requirements

Must-haves

Join us. The world can t wait.
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
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
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

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Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Professional Development