Post-Sales Engineer

Booz Allen Hamilton • McLean, VA

6h • $62,000 - $141,000 • Hybrid

About The Position

The Post-Sales 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. It adapts reusable agent components, configures customer environments and instrumentation, and diagnoses 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 returned to engineering.

The position is hybrid and based in McLean, Virginia, with an additional location in Washington, District of Columbia. 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.

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 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 production readiness reviews.
• Prepare deployment and rollback procedures, troubleshooting and enablement materials, runbooks, solution inventories, and technical knowledge-transfer materials.
• Manage implementation dependencies, communicate limitations, and obtain explicit acceptance of deliverables and support responsibilities.
• Hand over deployments to designated operational owners and Customer Success.
• Return 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 for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time