Forward-Deployed Engineer

Booz Allen Hamilton

. Embed with program teams to observe and document workflows, systems, data flows, decision points, and exception paths .

Posted 9/23/2026full-timeMcLean • Virginia • United StatesMid-LevelSenior💰 $99,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI agents, particularly with generative and agentic AI technologies. Proficient in software engineering practices, business process analysis, and organizational change management to drive technology adoption and optimize workflows.

Highest-signal resume keywords

AI Agent DevelopmentPython ProgrammingGenerative AI TechnologiesOrganizational Change ManagementBusiness Process Mapping

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMachine Learning EngineeringApplication DevelopmentEvaluation FrameworksRegression TestingCloud DeploymentContainerizationData IntegrationAutomation Impact QuantificationProcess Mapping

Soft Skills

CommunicationIndependent OperationAdaptabilityStakeholder EngagementTraining and Mentoring

Tools & Technologies

AWSAzureKubernetesTerraformClaude CodeCodexCursorLangGraphOpenAI Agents SDKERP Systems

Certifications & Qualifications

Secret ClearanceBachelor's DegreeMaster's Degree

Industry Keywords

Generative AIAgentic AIHuman-in-the-LoopBusiness Process AnalysisValue Stream Mapping

Tech Stack

Tools & technologies

AWSAzureCloudERPITSMKubernetesPythonTerraformTypeScript

About the role

Key responsibilities & impact

Embed with program teams to observe and document workflows, systems, data flows, decision points, and exception paths
Produce operating maps and automation roadmaps prioritizing high-volume workflows by expected value and risk
Decide where deterministic software, agent judgment, and human-in-the-loop approval belong
Design, build, and deploy AI agents across existing tools, APIs, and data sources
Develop evaluation frameworks, golden datasets, and regression tests
Scale agents from shadow mode to increasing autonomy and production
Instrument audit trails, monitoring, and metrics to measure agent activity and value
Drive adoption and change management, train the workforce, and redesign roles around supervision of automation
Codify learnings into playbooks, reusable components, and field feedback
Escalate data-access and policy blockers through direct reach-back to the Disruption Cell

Requirements

What you’ll need

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
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

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program
Identity verification and fraud-prevention process