AI/ML Engineer

The Opportunity: 

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, consultative 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—elevating humans into supervisors of that automation. You’ll map workflows and exception paths, decide where deterministic software ends and model judgment begins, and build agents that are reliable, observable, and auditable from day one. You’ll validate performance with evaluation suites and scale from shadow mode to production. Equally important, you’ll bring people along—winning trust, managing change, training the workforce, and leaving 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.

Join us to define how AI transformation gets delivered—one workflow, one agent at a time.

What You'll Work On:

• Embed with client teams to observe and document how work actually happens, including workflows, systems, data flows, decision points, and the exception paths that aren’t captured in formal documentation.
• Produce operating maps and automation roadmaps that prioritize high‑volume workflows by expected value and risk and determine where deterministic software, agent judgment, and human‑in‑the‑loop approvals each belong. 
• Design, build, and deploy AI agents that reason, plan, and act across existing tools, APIs, and data sources—integrating with current systems rather than forcing migrations. 
• Develop evaluation frameworks, golden datasets, and regression tests to turn non‑deterministic behavior into evidence and scale agents from shadow mode to increasing autonomy to production.
• Instrument everything: audit trails, monitoring, and metrics that let leadership see exactly what agents are doing and the value delivered in hours saved, risk reduced, and outcomes improved. 
• Drive adoption and change management, train the workforce, redesign roles around supervision of automation, and de‑risk the transformation for people living through it. 
• Codify learnings into playbooks, reusable components, and field feedback to continuously improve shared capabilities across engagements. 

Join us. The world can't wait.

You Have:  

• 8+ years of experience in software engineering, machine learning engineering, technical consulting, 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, and integrating with enterprise systems and data sources such as ERP, CRM, ITSM, or knowledge repositories
• Experience developing production code in Python or TypeScript
• 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 operate independently in ambiguous, fast‑moving environments and communicate with audiences ranging from engineers to executives
• 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, including 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, or revenue uplift
• Master’s degree
• Agile or Cloud Certifications 

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. 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.

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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.