Pre-Sales Engineer

Pre-Sales Engineer

The Opportunity:

Help customers identify where agentic AI can deliver measurable value and establish a technically sound path to implementation. You will lead technical discovery, qualify use cases, and demonstrate solutions that connect business needs to achievable capabilities. You will design proposed workflows and architectures, build demonstrations and proofs of concept, and assess data, integration, infrastructure, and security requirements with engineering teams. You will make assumptions, limitations, and implementation complexity explicit and agree technical acceptance criteria and business success measures.

Your accountability is validated feasibility and clear scope, with an accepted handoff to Forward-Deployed Engineering and Customer Success. Due to the nature of work performed within this facility, U.S. citizenship is required. Join us. The world can't wait.

• 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 the responsible engineering teams
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree

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

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.

The projected compensation range for this position is $77,600.00…