Agentic AI Engineer

Role overview for an agentic AI engineer based in Arlington, VA onsite.

Responsibilities

• Build and deploy production-grade agentic AI systems that demonstrate the practical value of generative AI, LLMs, and autonomous workflows.
• Develop modular, reusable AI application patterns; integrate providers across cloud, on‑premises, and hybrid environments; utilize modern GenAI capabilities such as structured prompting, tool use, workflow orchestration, and multi‑modal reasoning.
• Design solutions deployable across cloud platforms and portable builds, optimizing latency, cost, observability, and safety.
• Rapidly prototype and iterate with AI‑assisted tooling; validate ideas through evaluation‑driven development and ongoing experimentation.
• Shape the direction of mission‑critical agentic systems by selecting prompting strategies, RAG architectures, agentic workflows, and suitable fine‑tuned or foundation models.
• Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver top‑tier solutions.

Requirements

• Minimum 2 years designing, building, or deploying AI‑driven systems, including autonomous agents, LLM‑based solutions, or automated decision pipelines.
• Minimum 2 years experience with an object‑oriented language such as Python, applied to AI/ML solution development.
• Experience with agent orchestration frameworks like LangChain, AutoGen, CrewAI, or equivalent custom frameworks.
• Experience integrating LLMs, GPT‑class models, or multimodal models into applications, 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 environments with data scientists, ML engineers, SREs, product managers, and security teams, and 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 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

Clearance

Secret clearance is required. Applicants selected will be subject to a security investigation to determine eligibility for access to classified information.

Compensation

The projected annual salary range is USD 99,000 to 225,000. This range reflects typical compensation for the role and is influenced by location, education, experience, and qualifications, along with contract-specific factors. The posting closes within 90 days of the posting date.

Identity Statement

As part of the hiring process, identity verification may be conducted using biometric and AI approaches to confirm authenticity and guard against fraud. Candidates are expected to be on camera during interviews and assessments, and Booz Allen reserves the right to capture a photo to verify identity.

Candidate AI Usage Policy

AI tools are part of Booz Allen's daily workflow, with an emphasis on responsible use. Use of AI or similar tools to assist with interview responses is prohibited unless explicit permission is granted.

Work Model

• Remote: May require occasional in‑person work at Booz Allen or customer facilities.
• Hybrid: Regular in‑office work from a Booz Allen facility, with possible visits to customer facilities.
• Onsite: Primarily based at a Booz Allen office or customer facility, with in‑person collaboration as needed.

Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.