Agentic AI Engineer
Booz Allen Hamilton2 days ago
Base Salary
$78k - $176k/yr
Responsibilities
- Design, develop, and deliver production-grade agentic AI systems and LLM-powered applications.
- Architect reusable AI application patterns using prompting, RAG, agentic orchestration, evaluation pipelines, and human-in-the-loop systems.
- Integrate cloud-hosted, local, and hybrid model providers, including foundation, fine-tuned, GPT-class, and multimodal models.
- Build solutions using structured prompting, tool use, workflow orchestration, multi-agent patterns, and multimodal reasoning.
- Optimize deployments for latency, cost efficiency, observability, and safety across cloud-hosted and portable environments.
- Prototype and iterate rapidly with AI-assisted development tools through evaluation-driven development and continuous experimentation.
- Define technical direction for mission-critical agentic systems and create reference architectures and technical roadmaps.
- Collaborate with data engineers, data scientists, ML engineers, SREs, product managers, security teams, solutions architects, and product owners.
Requirements
- At least 1 year of experience designing, developing, or deploying AI-driven systems such as autonomous agents, LLM-based systems, or automated decision pipelines.
- At least 1 year of experience with an object-oriented programming language such as Python applied to AI and ML solution development.
- 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 and creating reference architectures and technical roadmaps.
- Secret clearance is required, with eligibility for access to classified information subject to a security investigation.
- Bachelor's degree required.
- Experience with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or custom agent frameworks is preferred.
- Experience with interoperability standards and multi-agent patterns such as MCP, A2A, or LangGraph is preferred.
- Experience with model fine-tuning, prompt tuning, domain adaptation, or reinforcement learning from human or AI feedback is preferred.
- Experience designing AI evaluation suites or safety testing frameworks and integrating AI systems with external tools, APIs, or enterprise systems is preferred.
Benefits
- Hybrid work arrangement with work at a Booz Allen or customer facility according to leadership expectations and role needs.
- Health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
- Eligible regular employees working at least 20 hours per week can participate in Booz Allen benefit programs.
Tech Stack
Categories
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).