AI Engineer – LLMs, MLOps & Secure Data Platforms

Phase2 Technology; Washington (District of Columbia); Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton in Washington, DC is seeking an experienced AI engineer to design, train, test, deploy, and maintain AI models for mission-focused solutions. You will collaborate with data engineers, data scientists, solution architects, and product owners to apply agentic frameworks that transform how the Air Force manages day-to-day operations.

The role requires building production-grade software in Python/TypeScript/Java, deploying AI-enabled applications like LLMs and RAG, and

Qualifications

• 2+ years building production-grade software in Python/TypeScript/Java with APIs and data services (FastAPI, Flask, REST, GraphQL or SQL).
• Experience developing and deploying AI-enabled apps such as LLMs, RAG, and agentic workflows to solve mission problems.
• Experience building secure data foundations on enterprise cloud platforms such as AWS, data catalog and metadata, and data mesh-style data products.
• Ability to design event-driven integrations and workflow automation to move from insight to action.
• Ability to implement MLOps or DevSecOps practices such as CI/CD, containerization, automated testing, or model evaluation.
• Secret clearance required.
• HS diploma or GED required.

Skills

Python

TypeScript

Java

APIs & Microservices

AI/ML Deployments

AWS Cloud

MLOps / DevSecOps

Security Clearance

Education

High School Diploma or GED

Job description

Booz Allen Hamilton in Washington, DC is seeking an experienced AI engineer to design, train, test, deploy, and maintain AI models for mission-focused solutions. You will collaborate with data engineers, data scientists, solution architects, and product owners to apply agentic frameworks that transform how the Air Force manages day-to-day operations.

The role requires building production-grade software in Python/TypeScript/Java, deploying AI-enabled applications like LLMs and RAG, and