Agentic Forward Deployed Engineer

Phase2 Technology; Arlington (VA); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton in the United States (Arlington, VA) seeks an Agentic Forward Deployed Engineer to embed with client teams, map workflows, and design AI agent tooling that moves processes from manual steps to automated actions.

You'll deploy LLM-powered agents, build evaluation suites, ensure observability, and lead change management to help clients realize value while maintaining security and compliance.

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 multiagent 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 nondeterministic 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.

Responsibilities

• Embed with client teams to observe and document how work actually happens, including workflows and data flows.
• Produce operating maps and automation roadmaps prioritizing high-volume workflows by value and risk.
• Design, build, and deploy AI agents that reason, plan, and act across tools and data sources.
• Develop evaluation frameworks, golden datasets, and regression tests to scale agents from shadow mode to production.
• Instrument audit trails, monitoring, and metrics to show value delivered in hours saved and risk reduced.
• Drive adoption and change management to train the workforce and supervise automation.
• Codify learnings into playbooks and reusable components across engagements.

Skills

8+ years of experience in software

4+ years of experience building AI

Experience deploying LLM-powered

Production code in Python or TypeScrip

Enterprise systems integration

Customer interaction & requirements

Evaluation techniques for nondetermin

Willingness to travel 10%

Secret clearance

Bachelor's degree

Education

Bachelor's degree

Master's degree

Job description

Job Number: R0249575

Agentic Forward Deployed Engineer

The Opportunity:

As an AIforward 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 workactually happens, and converting that understanding into reliable AI agents that transform operations.We'reseeking technical depth, advisory instincts, and an ownership mindset to bring agentic AI to workflows where it matters most.

You'lljoin a forwarddeployed engineering cohort thatoperatesclose to the mission, engaging on billable client programs where people execute welldefined processes by hand. Your mission is to move from humans executing flowcharts to agents executing flowcharts and elevating humans into supervisors of that automation.You'llmap 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'llvalidateperformance with evaluation suites and scale from shadow mode to production. Equally important,you'llbring people along winning trust, managing change, training the workforce, and leaving every engagement more capable than you found it.

Youwon'tdo this alone.You'llhave structured reachback to a central engineering community focused on removing blockers, accelerating data and policy access, and turning fieldbuilt solutions into reusable patterns, playbooks, and shared capabilities. Patterns proven once become capabilities many teams can reuse.

What You'll Work On:

• Embed with client teams toobserveand document how workactually happens, including workflows, systems, data flows, decision points, and the exception paths thataren'tcaptured in formal documentation.

• Produce operating maps and automation roadmaps that prioritize highvolume workflows by expected value and risk and determinewhere deterministic software, agent judgment, and humanintheloop approvals each belong.

• Design, build, and deploy AI agents that reason, plan, and act across existing tools, APIs, and data sources while integrating with current systems rather than forcing migrations.

• Develop evaluation frameworks, golden datasets, and regression tests to turn nondeterministic behavior into evidence and scale agents from shadow mode to increasing autonomy to production.

• Instrument everything including 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 to train the workforce, redesignrolesaround supervision of automation, and derisk the transformation for people living through it.

• Codify learnings into playbooks, reusable components, and field feedback to continuously improve shared capabilities across engagements.

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.

You Have:

• 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, retrievalaugmented generation, or multiagent orchestration

• Experience deploying LLMpowered 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 adoptionofnew technology

• Knowledge of evaluation techniques for nondeterministic systems, including golden datasets, regression testing, and humanintheloop 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 graphbased planners, toolcalling agents, or agent SDKs

• Experience in forwarddeployed, embedded, or residencystyle 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 valuestream mapping

• Experience with major cloud platforms and containerized deployment such as public cloud services, Kubernetes, or infrastructureascode

• 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. 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 $99,000.00 to $225,000.00 (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, 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.