Pre-Sales Engineer

Booz Allen Hamilton • McLean, VA

1d

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. The role is accountable for validated feasibility and clear scope, with an accepted handoff to Forward-Deployed Engineering and Customer Success. U.S. citizenship is required because of 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 also 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.

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 demonstrations and proofs of concept.
• Assess data access, integrations, infrastructure, and security requirements with engineering teams.
• Document assumptions, limitations, implementation complexity, and technical acceptance criteria.
• Establish business success measures and validate feasibility with responsible engineering teams.
• Provide clear scope and an accepted handoff to Forward-Deployed Engineering and Customer Success.
• Demonstrate execution traces, guardrails, observability, and solution limitations to technical and business audiences.
• Develop value hypotheses and success metrics with customers.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

What This Job Offers

• Job Type: Full-time