[Hiring] Agentic Forward Deployed Engineer @Booz Allen Hamilton

Role Description

As an AI‑forward engineer, you know that access to frontier models is increasingly universal, what differentiates organizations is their ability to deploy them effectively. Your strength is embedding with teams, mapping how work actually happens, and converting that understanding into reliable AI agents that transform operations. We’re seeking technical depth, advisory instincts, and an ownership mindset to bring agentic AI to workflows where it matters most.

You’ll join a forward‑deployed engineering cohort that operates close to the mission, engaging on billable client programs where people execute well‑defined processes by hand. Your mission is to move from humans executing flowcharts to agents executing flowcharts and elevating humans into supervisors of that automation.

• Map workflows and exception paths.
• Decide where deterministic software ends and model judgment begins.
• Build agents that are reliable, observable, and auditable from day one.
• Validate performance with evaluation suites and scale from shadow mode to production.
• Bring people along, winning trust, managing change, and training the workforce.
• Leave every engagement more capable than you found it.

You won’t do this alone. You’ll have structured reach‑back to a central engineering community focused on removing blockers, accelerating data and policy access, and turning field‑built solutions into reusable patterns, playbooks, and shared capabilities.

• Patterns proven once become capabilities many teams can reuse.

Work with us to solve real-world challenges and define the AI and ML strategy for Army enterprise clients.

Join us. The world can’t wait.

Qualifications

• 8+ years of experience in software engineering, machine learning engineering, technical advising, or solutions engineering roles.
• 4+ years of experience building applications with generative and agentic AI technologies such as LLMs, retrieval‑augmented generation, or multi‑agent orchestration.
• Experience deploying LLM‑powered systems or AI agents to production, including evaluation, monitoring, and iteration after launch.
• Experience developing production code in Python or TypeScript.
• Experience integrating with enterprise systems and data sources such as ERP, CRM, ITSM, or knowledge repositories.
• Experience working directly with customers or business stakeholders to elicit requirements, map business processes, and guide adoption of new technology.
• Knowledge of evaluation techniques for non‑deterministic systems, including golden datasets, regression testing, and human‑in‑the‑loop feedback.
• Ability to travel up to 10% of the time.
• Secret clearance.
• Bachelor’s degree.

Nice If You Have

• Experience working in a DoW or DoA environment.
• Experience with agent development and orchestration frameworks such as graph‑based planners, tool‑calling agents, or agent SDKs.
• Experience in forward‑deployed, embedded, or residency‑style engineering roles at client sites.
• Experience with organizational change management, including training, communications, workforce transition, or user adoption programs.
• Experience with business process analysis or process mapping such as BPMN or value‑stream mapping.
• Experience with major cloud platforms and containerized deployment such as public cloud services, Kubernetes, or infrastructure‑as‑code.
• Ability to quantify automation impact including cost savings, risk mitigation, and revenue uplift.
• Master’s degree.
• Agile or cloud Certification.

Clearance

• Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
• Secret clearance is required.

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.

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

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.

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.

Work Model

• 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 facility frequently, in alignment with leadership expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility.

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.

About Us

Booz Allen is an advanced technology company. We build commercial-grade products and solutions for America’s most critical defense, civil, and national security priorities.