Agentic AI Forward-Deployed Engineer

Booz Allen Hamilton; McLean (VA); Ibrido; USD 99.000 - 225.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health benefits

Paid leave

Tuition assistance

Professional development

Work-life programs

Retirement benefits

Descrizione del lavoro

Booz Allen Hamilton seeks an Agentic AI Forward-Deployed Engineer to embed with defense programs, map workflows, and deploy AI agents that automate complex processes. You will craft evaluation suites, ensure observability, and scale from shadow mode to production while driving workforce adoption and change management.

You will collaborate with the Disruption Cell, delivering repeatable patterns, playbooks, and reusable components across programs, and you may engage with customers to define value

Competenze

• 5+ years of experience in software or ML engineering.
• 2+ years of experience building apps with generative and agentic AI.
• Production experience deploying LLM-powered systems in a live environment.
• Experience coding in Python or TypeScript.
• Experience eliciting requirements from customers and guiding adoption of new tech.
• Knowledge of evaluation techniques for non-deterministic systems and human-in-the-loop feedback.

Mansioni

• Observe and document how work actually happens with program teams.
• Create automation roadmaps prioritizing high-value workflows.
• Design, build, and deploy AI agents that use existing tools and data sources.
• Develop evaluation frameworks, golden datasets, and regression tests.
• Drive adoption, train the workforce, and manage change around automation.
• Codify learnings into playbooks and reusable components.

Conoscenze

Software engineering

Machine learning

Python

TypeScript

Customer/stakeholder engagement

Formazione

Bachelor's degree

Master's degree

Strumenti

AWS

Azure

Kubernetes

Terraform

SharePoint

Descrizione del lavoro

Job Number: R0250142

Agentic AI Forward-Deployed Engineer

The Opportunity

As an AI-forward engineer, you know that intelligence has become a commodity. Every organization has access to the same frontier models, and the advantage now belongs to those who can deploy them. Your ability to sit with a team, map how their work actually happens, and turn that understanding into reliable AI agents makes you an integral part of transforming how our programs deliver. We need your technical depth, advisory instincts, and ownership mindset to bring agentic AI to the programs where it matters most.

You'll join our growing corps of forward deployed engineers within our Global Defense Disruption Cell, deploying to billable programs where people spend their days executing well-defined processes by hand. Your mission is to turn humans executing flow charts into agents executing flow charts, and to make those humans supervisors of that automation. You'll embed with program teams to map their workflows and exception paths, then exercise judgment about where deterministic software ends and model judgment begins. You'll build agents that are reliable, observable, and auditable from day one, and prove they work with evaluation suites before scaling them from shadow mode to production. Just as important, you'll bring the people along winning trust, managing the change, training the workforce, and leaving each program more capable than you found it.

You won't do this alone. You'll operate with direct reach-back to the Disruption Cell, a team dedicated to clearing your blockers, escalating data-access and policy obstacles, and turning what you build in the field into reusable patterns, playbooks, and shared capabilities for the entire corps. The patterns you build once become capabilities every program can reuse. Work with us to define how AI transformation actually gets delivered ─ one program, one workflow, and one agent at a time.

What You'll Work On

• Embed with program teams to observe and document how work actually happens, including workflows, systems, data flows, decision points, and the exception paths that never make it into the documented process.
• Produce operating maps and automation roadmaps that prioritize high-volume workflows by expected value and risk, and decide where deterministic software, agent judgment, and human-in-the-loop approval each belong.
• Design, build, and deploy AI agents that reason, plan, and act across the program's existing tools, APIs, and data sources.
• Build on the systems teams already use rather than forcing a migration.
• Develop evaluation frameworks, golden datasets, and regression tests that turn non-deterministic behavior into evidence, and scale agents from shadow mode to increasing autonomy to production.
• Instrument everything, including audit trails, monitoring, and metrics that let program leadership see exactly what agents are doing and what value they deliver 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 the people living through it.
• Codify what you learn into playbooks, reusable components, and field feedback for the Disruption Cell, and elevate blockers through direct reach-back so no engagement stalls on access or politics.

You Have

• 5+ years of experience in software engineering, machine learning engineering, technical advisory, or solutions engineering roles
• 2+ years of experience building applications with generative and agentic AI technologies, including LLMs, RAG, MCP, or multi-agent orchestration
• Experience deploying an LLM-powered system or AI agent into a production environment, including evaluation, monitoring, and iteration after launch
• 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 obtain a Secret clearance
• Bachelor's degree

Nice If You Have

• Experience with agentic coding and orchestration tools such as Claude Code, Codex, Cursor, LangGraph, or the OpenAI Agents SDK
• Experience in a forward deployed, embedded, or residency-style engineering role at a customer site
• 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 cloud platforms and containerized deployment, including AWS, Azure, Kubernetes, or Terraform
• Experience integrating with enterprise systems and data sources such as ERP, CRM, ITSM, or SharePoint platforms
• Ability to quantify automation impact in terms of cost savings, risk mitigation, or revenue uplift
• Secret clearance
• Master's degree

Clearance

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

Compensation

• health
• life
• disability
• financial
• retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• dependent care
• 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.
• This posting will close within 90 days from the Posting Date.

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. 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

• 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.