Agentic AI Engineer — Production‑Grade Systems

Booz Allen Hamilton; United States; On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an experienced engineer to design and deliver production‑grade agentic AI systems that leverage prompting, RAG, and multi‑modal workflows. You will work with data engineers, architects, and product owners to build scalable AI solutions deployable across cloud and on‑prem environments.

You will prototype with modern GenAI stacks, ensure observability and safety, and drive eval‑driven development with a focus on measurable impact and responsible AI practices.

Qualifications

• 2+ years of software engineering experience in a professional setting.
• 2+ years of AI/ML focused roles in a professional setting.
• Proficiency with Python and object‑oriented programming for AI/ML solutions.
• Experience designing and delivering production‑grade generative or agentic AI applications.
• Experience with AI orchestration frameworks such as LangChain, agent workflows, and multi‑provider model integration.
• Experience with RAG architectures, eval methodologies, and asynchronous or event‑driven patterns.
• Knowledge of AI data processing for text, audio, and multi‑modal inputs.
• Ability to obtain a Secret clearance.
• Bachelor’s degree in CS or Engineering.

Responsibilities

• Design adaptable agentic AI architectures that support multiple model providers and tool ecosystems.
• Build modular components for prompting, retrieval, orchestration, tool execution, memory, and evaluation.
• Integrate LLMs, embeddings, RAG pipelines, and memory mechanisms into production systems.
• Apply advanced prompting techniques and orchestration patterns to enable autonomous, observable AI workflows.
• Design and implement offline and online evaluation frameworks for safety and business impact.
• Optimize models and workflows for cost, latency, reliability, and scalability.
• Develop data pipelines for ingestion, cleaning, embedding, indexing, and refreshing data for RAG/memory.
• Create cross‑modal processing workflows and enable multi‑modal reasoning.

Skills

Software engineering

AI/ML in production

Python programming

Agentic AI design

Prompting & LLMs

Asynchronous/event-driven

System design

Education

Bachelor's degree in CS or Engineering

Tools

LangChain

Docker

Kubernetes

CI/CD tooling

AWS

Job description

Booz Allen Hamilton is seeking an experienced engineer to design and deliver production‑grade agentic AI systems that leverage prompting, RAG, and multi‑modal workflows. You will work with data engineers, architects, and product owners to build scalable AI solutions deployable across cloud and on‑prem environments.

You will prototype with modern GenAI stacks, ensure observability and safety, and drive eval‑driven development with a focus on measurable impact and responsible AI practices.