Pre-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 $190k
This role $127k
$59k $250k
below market most similar roles pay here above market

This role pays less than 91% of similar roles. Most pay $149,375–$231,575 — the blue band above. At the midpoint, this role pays about $127k versus about $190k 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 · Pre-Sales Engineer

The Pre-Sales Engineer joins the team to help customers identify where agentic AI can deliver measurable value and establish technically sound implementation paths. You will lead technical discovery, qualify use cases, and demonstrate solutions that connect business needs to achievable capabilities. Daily responsibilities include designing proposed workflows and architectures, building demonstrations and proofs of concept, and assessing data, integration, infrastructure, and security requirements with engineering teams. You must document requirements, assumptions, and technical acceptance criteria while translating business processes into prioritized use cases. Required skills include knowledge of large language models, agent orchestration, retrieval-augmented generation, and tool integrations. You should be proficient in building demonstrations using code, APIs, or AI development tools, with preferred experience in Python, TypeScript, and RAG frameworks to solve complex enterprise AI problems.

What you'll do

  • Lead technical discovery to identify where agentic AI can deliver measurable value for customers.
  • Design proposed workflows, architectures, and technical solutions to connect business needs to capabilities.
  • Build technical demonstrations and proofs of concept using code, APIs, or AI development tools.
  • Assess data, integration, infrastructure, and security requirements alongside engineering teams.
  • Document requirements, assumptions, capability gaps, and technical acceptance criteria for delivery teams.
  • Translate business processes into prioritized use cases and measurable success metrics.
  • Demonstrate execution traces, guardrails, and solution limitations to both technical and business audiences.
  • Validate feasibility and provide a clear scope for handoff to Forward-Deployed Engineering and Customer Success.

What we're looking for

  • U.S. citizenship is required.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
  • Experience in technical discovery, solutions engineering, consulting, or a customer-facing technical role.
  • Experience assessing enterprise data access, integrations, cloud environments, security requirements, and implementation dependencies.
  • Experience documenting requirements, assumptions, capability gaps, and technical acceptance criteria for delivery teams.
  • Knowledge of large language models, agent orchestration, retrieval-augmented generation, tool integrations, and human oversight patterns.
  • Ability to build and explain technical demonstrations or proofs of concept using code, APIs, or AI development tools.
  • Bachelor's degree.

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