Post-Sales Engineer

Booz Allen Hamilton • Washington, DC

1d • $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.

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. The role requires the ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.

The projected annualized compensation range is $62,000 to $141,000 USD. Booz Allen describes benefits including health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible to participate in benefit programs, with eligibility varying for those below that threshold.

The work location type is not specified for this position. The posting’s general work-model information notes that remote employees may occasionally need to work in person at a Booz Allen or customer facility, hybrid employees are expected to work at a Booz Allen or customer facility as directed, and onsite employees primarily work full-time at a customer facility. These descriptions are conditional and do not identify this position’s specific work model.

Requirements

• Experience delivering customer-facing software or AI implementations from requirements through deployment and technical handover.
• Experience with 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 deploy 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.
• Prepare deployment, rollback, troubleshooting, and enablement materials.
• Ensure 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.

Benefits

• Health benefits
• Life insurance
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program

What This Job Offers

• Job Type: Full-time