Agentic AI Forward-Deployed Engineer

Booz Allen Hamilton; McLean (VA); On-site; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health

Life

Disability

Financial

Retirement benefits

Paid leave

Professional development

Tuition assistance

Work-life programs

Dependent care

Recognition awards program

Job summary

Booz Allen Hamilton is seeking an experienced AI-forward engineer to join the Global Defense Disruption Cell in McLean, VA. You will map how programs actually operate, design deterministic and agentic AI solutions, and embed with teams to convert workflows into automated agents that are observable and auditable from day one.

You'll work to deploy AI agents across enterprise tools and data sources, develop evaluation frameworks, and drive adoption while training workforces to supervise

Qualifications

• 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 integrating with enterprise systems and data sources, such as ERP, CRM, ITSM, or SharePoint platforms.
• 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.

Responsibilities

• 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.

Skills

Software engineering

Machine learning engineering

Technical advisory

Solutions engineering

Generative AI

Agentic AI

LLMs

Python

TypeScript

Enterprise systems

Education

Bachelor's degree

Master's degree

Tools

Python

TypeScript

ERP

CRM

ITSM

SharePoint

Job description

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

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, one agent at a time.

Join us. The world can’t wait.

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 integrating with enterprise systems and data sources, such as ERP, CRM, ITSM, or SharePoint platforms

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

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

Ability to quantify automation impact in terms of cost savings, risk mitigation, or revenue uplift

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.

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.

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, one agent at a time.

Join us. The world can’t wait.

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 integrating with enterprise systems and data sources, such as ERP, CRM, ITSM, or SharePoint platforms
• 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
• 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.

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.