Pre-Sales Engineer

Pre-Sales Engineer

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.

You Have:

• 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

Nice If You Have:

• 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

Compensation

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 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.