Agentic AI Engineer

Agentic AI Engineer. The Opportunity: As an experienced engineer, you know how to design, develop, and deliver production‑grade agentic AI systems that demonstrate the practical value of generative AI, large language models (LLMs), and autonomous workflows. This role combines deep technical expertise with strong product skills to design AI applications that leverage prompting, retrieval‑augmented generation (RAG), agentic orchestration, evaluation pipelines, and human‑in‑the‑loop systems to deliver measurable impact. Responsibilities Architect modular, reusable AI application patterns, integrate multiple model providers (cloud‑hosted, local, hybrid) and apply GenAI stack capabilities. Design solutions deployable across various contexts, optimize latency, cost efficiency, observability, and safety. Rapidly prototype, iterate using AI‑assisted development tools, validate hypotheses through evaluation‑driven development and continuous experimentation. Define the direction of mission‑critical agentic systems by selecting and combining prompting strategies, RAG architectures, agentic workflows, and fine‑tuned or foundation models as appropriate. Collaborate with AI/ML engineers, data engineers, data scientists, solutions architects, and product owners to deliver world‑class solutions. Qualifications 2+ years of experience designing, developing, or deploying AI‑driven systems, including autonomous agents, LLM‑based systems, or automated decision pipelines. 2+ years of experience with an object‑oriented programming language such as Python, applied to AI/ML solution development. Experience with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or custom agent 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). Nice to 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. Security Clearance 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. Compensation Salary range: $99,000.00 to $225,000.00 (annualized USD). Additional benefits include health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. This posting will close within 90 days from the posting date. EEO Statement 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. #J-18808-Ljbffr Booz Allen Hamilton