Design, build, and deploy production-grade agentic AI solutions that use generative AI, LLMs, and autonomous workflows to drive measurable outcomes.

Architect modular, reusable AI application patterns for agentic systems
Integrate multiple model providers, including cloud-hosted, local, and hybrid deployments
Apply modern GenAI capabilities such as structured prompting, tool use, workflow orchestration, and multi-modal reasoning
Deliver solutions deployable across environments, from cloud platforms to portable, self-contained builds
Optimize for latency, cost efficiency, observability, and safety
Prototype and iterate quickly using AI-assisted development tools
Advance through evaluation-driven development and continuous experimentation
Set the direction for mission-critical agentic systems by selecting and combining prompting strategies, RAG architectures, agent workflows, and fine-tuned or foundation models as appropriate
Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver end-to-end solutions

1+ years of experience designing, developing, or deploying AI-driven systems, including autonomous agents, LLM-based systems, or automated decision pipelines
1+ years of experience with an object-oriented programming language, including Python, applied to AI and ML solution development
Experience integrating LLMs, GPT-class models, or multimodal models into application components, pipelines, or mission systems
Experience with RAG architectures, evaluation methodologies, experimentation workflows, and asynchronous or event-driven programming patterns
Experience working in cross-functional delivery teams with data scientists, ML engineers, SREs, product managers, and security teams, including creating reference architectures and technical roadmaps
Secret clearance
Bachelor’s degree

Experience with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or custom agent frameworks
Experience with agent frameworks, interoperability standards, and multi-agent patterns including MCP, A2A, LangGraph, or equivalent
Experience with model fine-tuning, prompt tuning, domain adaptation, or reinforcement learning from human or AI feedback
Experience designing evaluation suites or safety testing frameworks for AI systems, and integrating AI systems with external tools, APIs, or enterprise systems via tool-calling or computer-use patterns

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

Completion of an identity verification process using advanced biometrics and AI is required as part of the hiring process
Candidates are expected to be on camera during interviews and assessments
The employer reserves the right to take a picture to verify identity and prevent fraud

Use of AI or other tools to assist with responses during interviews (in-person or virtual) is prohibited unless permission is explicitly provided

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program acknowledging employees for exceptional performance and superior demonstration of values
Full-time and part-time employees working at least 20 hours a week may be eligible to participate in Booz Allen benefit programs
Salary range: $77,600.00 to $176,000.00 (annualized USD)

Employment consideration without regard to disability, protected veteran status, or other status protected by applicable federal, state, local, or international law

Agentic AI Engineer

Job Description