Pre-Sales Engineer

Booz Allen Hamilton • McLean, VA

6d

About The Position

Help customers determine 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. It designs proposed workflows and architectures, builds demonstrations and proofs of concept, and assesses data, integration, infrastructure, and security requirements with engineering teams. The Pre-Sales Engineer makes assumptions, limitations, and implementation complexity explicit, and agrees on technical acceptance criteria and business success measures. Accountability is 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 at the facility. Applicants selected will be subject to a government investigation and may need to meet U.S. government client eligibility 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 capabilities.
• Design proposed workflows and architectures.
• Build technical demonstrations and proofs of concept.
• Assess data, integration, infrastructure, and security requirements with engineering teams.
• Document and communicate assumptions, limitations, and implementation complexity.
• Agree on technical acceptance criteria and business success measures.
• Develop value hypotheses and success metrics with customers and validate feasibility with responsible engineering teams.
• Ensure feasibility is validated, scope is clear, and the handoff to Forward-Deployed Engineering and Customer Success is accepted.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time