Pre-Sales Engineer

Booz Allen Hamilton•McLean, VA

6h•$77,600 - $176,000•Hybrid

About The Position

Help customers identify where agentic AI can deliver measurable value and establish a technically sound path to implementation. Lead technical discovery, qualify use cases, and demonstrate solutions that connect business needs to achievable capabilities. Design proposed workflows and architectures, build demonstrations and proofs of concept, and assess data, integration, infrastructure, and security requirements with engineering teams. Make assumptions, limitations, and implementation complexity explicit, and agree on technical acceptance criteria and business success measures. Be accountable for validated feasibility, clear scope, and 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. The position is hybrid and based in McLean, Virginia. Applicants selected will be subject to a government investigation and may need to meet U.S. government client eligibility requirements. The projected annualized compensation range is $77,600 to $176,000. The role offers health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. Benefit-program eligibility is subject to hours worked and other stated conditions.

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.

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, qualify use cases, and demonstrate solutions that connect business needs to achievable capabilities.
Design proposed workflows and architectures.
Build technical demonstrations and proofs of concept.
Assess data, integration, infrastructure, and security requirements with engineering teams.
Make assumptions, limitations, and implementation complexity explicit.
Agree on technical acceptance criteria and business success measures.
Validate feasibility and define clear scope for an accepted handoff to Forward-Deployed Engineering and Customer Success.