Post-Sales Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
10 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $187k
This role $127k
$60k $243k
below market most similar roles pay here above market

This role pays less than 89% of similar roles. Most pay $149,962–$223,850 — the blue band above. At the midpoint, this role pays about $127k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Post-Sales Engineer

The Post-Sales Engineer will work directly with customers to turn validated AI solutions into working deployments by implementing workflows and integrating enterprise systems. The role involves adapting reusable agent components, configuring customer environments, and diagnosing integration, retrieval, model, and workflow issues. Key responsibilities include establishing evaluation baselines, coordinating readiness reviews, and preparing deployment, rollback, and troubleshooting materials for handover to operational owners. Candidates must possess experience in Python or TypeScript, integrating enterprise APIs, authentication, and data sources. Technical skills include developing agent workflows, model integrations, retrieval-augmented generation, and tool connections in cloud or enterprise environments. Proficiency with LangGraph, MCP servers, LangSmith, and Langfuse is preferred. This role solves the technical challenge of moving AI models from validation to functional, production-ready customer implementations.

What you'll do

  • Implement AI workflows and integrate enterprise systems into working customer deployments.
  • Adapt reusable agent components and configure customer environments and instrumentation.
  • Diagnose integration, retrieval, model, and workflow issues using traces, logs, and metrics.
  • Establish customer evaluation baselines and validate results against agreed quality thresholds.
  • Prepare deployment, rollback, troubleshooting, and technical knowledge-transfer materials.
  • Manage implementation dependencies and obtain explicit technical acceptance of deliverables.
  • Hand over completed solutions to designated operational owners and Customer Success teams.
  • Return reusable improvements and recurring defects to the engineering team.

What we're looking for

  • U.S. citizenship is required.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
  • 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 with LangGraph, MCP servers, LangSmith, Langfuse, or comparable integration and observability tools (preferred).
  • Bachelor’s degree.

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