Agentic AI Engineer

Agentic AI Engineer role based in Arlington, VA onsite, focusing on designing, building, and delivering production-grade agentic AI systems and modern GenAI applications.

Responsibilities

• Create and deploy production-ready agentic AI systems that demonstrate practical value from generative AI, LLMs, and autonomous workflows.
• Design modular, reusable AI app patterns; integrate cloud-hosted, local, and hybrid model providers; leverage structured prompting, tool use, orchestration, and multimodal reasoning.
• Build solutions deployable across cloud platforms and portable, self-contained builds, optimizing latency, cost, observability, and safety.
• Prototype and iterate rapidly with AI-assisted development tools, validating ideas through evaluation-driven development and continuous experimentation.
• Define the direction of mission-critical agentic systems by selecting prompting strategies, RAG architectures, agentic workflows, and suitable models.
• Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver robust, scalable solutions.

Requirements

• Minimum 2 years designing, building, or deploying AI-driven systems, including autonomous agents, LLM-based systems, or automated decision pipelines.
• At least 2 years programming in an object-oriented language such as Python for AI/ML solution development.
• Experience with agent orchestration frameworks like LangChain, AutoGen, CrewAI, or custom agent platforms.
• Experience integrating LLMs, GPT-class models, or multimodal models into applications, pipelines, or mission systems.
• Familiarity with RAG architectures, evaluation methodologies, experimentation workflows, and asynchronous or event-driven programming patterns.
• Experience in cross-functional delivery environments with data scientists, ML engineers, SREs, product managers, and security teams; creating reference architectures and technical roadmaps.
• Secret clearance.
• Bachelor's degree.

Technologies

• Python
• LangChain
• AutoGen
• CrewAI
• GPT-class models
• LLMs
• Retrieval-augmented generation (RAG)
• Multimodal models

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Employee recognition awards program

Nice If You Have

• Experience with agent frameworks, interoperability standards, and multi-agent patterns such as MCP, A2A, LangGraph, or equivalents
• 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 with external tools, APIs, or enterprise systems via tool calling

Clearance

• Secret clearance is required; applicants must meet eligibility for access to classified information.

Compensation

• Salary range: $99,000 to $225,000 USD per year
• Compensation reflects location, education, knowledge, skills, competencies, experience, contract affordability, and organizational needs
• Posting closes within 90 days from the posting date

Identity Statement

• Identity verification involves biometrics and AI to ensure authenticity and reduce fraud
• Interviews and assessments will be on camera
• Booz Allen may capture your photo for identity verification purposes

Candidate AI Usage Policy

• AI is part of daily work, and Booz Allen advocates responsible use of AI tools
• Use of AI or tools to assist with interview responses is prohibited unless permission is granted

Work Model

• Onsite: work primarily at a Booz Allen office or customer facility, collaborating with colleagues and clients as required

Commitment to Non-Discrimination

• All qualified applicants will receive consideration without regard to disability, protected veteran status, or any other status protected by law