Pre-Sales Engineer

Booz Allen Hamilton•McLean, VA

1d•$77,600 - $176,000

About The Position

The Pre-Sales Engineer helps customers identify where agentic AI can deliver measurable value and establish a technically sound path to implementation. The role leads technical discovery, qualifies use cases, and demonstrates solutions that connect business needs to achievable capabilities. The position designs proposed workflows and architectures, builds demonstrations and proofs of concept, and assesses data, integration, infrastructure, and security requirements with engineering teams. It makes assumptions, limitations, and implementation complexity explicit, and aligns technical acceptance criteria and business success measures. The role is accountable for validating feasibility and defining clear scope, then providing an accepted handoff to Forward-Deployed Engineering and Customer Success. U.S. citizenship is required due to the nature of work performed within the facility. 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 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.
Ability to translate business processes and stakeholder needs into prioritized use cases, solution architectures, and measurable outcomes.
Ability to demonstrate execution traces, guardrails, observability, and solution limitations to technical and business audiences.
Ability to develop value hypotheses and success metrics with customers and validate feasibility with responsible engineering teams.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
Bachelor’s degree.
U.S. citizenship is required due to the nature of work performed within the facility.

Nice To Haves

Experience supporting enterprise AI opportunities, technical proposals, or solution validation workshops.
Experience with Python, TypeScript, LLM APIs, RAG frameworks, or multi-agent demonstrations.
Experience with value engineering, customer executive presentations, or transferring successful proofs of concept into implementation.

Responsibilities

Lead technical discovery and qualify customer use cases for agentic AI.
Demonstrate solutions that connect business needs to achievable technical capabilities.
Design proposed workflows and solution architectures.
Build technical demonstrations and proofs of concept.
Assess enterprise data, integration, infrastructure, cloud environment, security, and implementation requirements with engineering teams.
Document requirements, assumptions, capability gaps, and technical acceptance criteria for delivery teams.
Make solution assumptions, limitations, and implementation complexity explicit.
Agree technical acceptance criteria and business success measures with customers.
Develop value hypotheses and success metrics, and validate feasibility with responsible engineering teams.
Demonstrate execution traces, guardrails, observability, and solution limitations to technical and business audiences.
Provide a clear, accepted handoff to Forward-Deployed Engineering and Customer Success.