Agentic AI Architect for Production-Ready Enterprise

Booz Allen Hamilton; McLean (VA); Hybrid; USD 113,000 - 257,000; Full time

Benefits offered by this job

Health

Life

Disability

Retirement benefits

Paid leave

Professional development

Tuition assistance

Work-life programs

Dependent care

Job summary

Booz Allen Hamilton seeks an Agentic AI Engineer to design and deploy agentic AI solutions at scale, integrating with enterprise systems and workflows. You will lead a development team, advancing multi-agent orchestration, RAG pipelines with knowledge graphs, and edge-optimized models.

You will work across cloud environments like AWS and Azure, apply modern software patterns, and bridge technical work with practical business processes, all while navigating a fast-changing landscape.

Qualifications

• 6+ years of software development experience
• 3+ years in cloud environments (AWS/Azure) with scalable service-based software experience
• Experience with MCP for tool integration and A2A for collaboration

Responsibilities

• Embed agentic AI capabilities into enterprise systems and workflows
• Design intelligent agent architectures that can reason, plan, and act
• Develop multi-agent systems using MCP and A2A protocols
• Build RAG pipelines with knowledge graphs for enhanced reasoning
• Fine-tune LLMs/SLMs and optimize for edge device performance

Skills

Software development

Cloud environments (AWS, Azure)

Agentic AI concepts

LLM fine-tuning

Memory architectures for agents

Multi-agent systems

Tool/Function calling patterns

Edge deployment optimization

Adaptability

Education

Bachelor's degree in CS or Computer Engineering

Tools

LangChain

LangGraph

AutoGen

PydanticAI

CrewAI

LlamaIndex

Job description

Booz Allen Hamilton seeks an Agentic AI Engineer to design and deploy agentic AI solutions at scale, integrating with enterprise systems and workflows. You will lead a development team, advancing multi-agent orchestration, RAG pipelines with knowledge graphs, and edge-optimized models.

You will work across cloud environments like AWS and Azure, apply modern software patterns, and bridge technical work with practical business processes, all while navigating a fast-changing landscape.