Post-Sales Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VAWashington, DC
Salary
$62,000–$141,000 / yr
Employment
Full-time
Posted
10 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $187k
This role $102k
$42k $245k
below market most similar roles pay here above market

This role pays less than 97% of similar roles. Most pay $149,962–$223,850 — the blue band above. At the midpoint, this role pays about $102k 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 joins the team to transform validated AI solutions into functional customer deployments. This role involves working directly with customers to implement workflows, integrate enterprise systems, and ensure solutions meet technical acceptance criteria. Day-to-day responsibilities include adapting reusable agent components, configuring environments, diagnosing integration and retrieval issues, and establishing evaluation baselines. You will prepare deployment materials, runbooks, and knowledge-transfer documentation while managing implementation dependencies. Required technical skills include proficiency in Python or TypeScript, experience with enterprise APIs, authentication, and data sources, and expertise in retrieval-augmented generation and tool connections. You must be able to deploy applications in cloud environments using security controls and instrumentation tools like LangGraph, MCP servers, LangSmith, or Langfuse to troubleshoot latency and costs.

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 acceptance of deliverables from customers.
  • Hand over completed solutions to operational owners and Customer Success teams.
  • Report reusable improvements and recurring defects back to the engineering team.

What we're looking for

  • 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.
  • Bachelor’s degree.

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