AI Solutions Engineer

Booz Allen HamiltonUsa, DC
13d$77,600 - $176,000

About The Position

AI Solutions Engineer The Opportunity: AI is no longer just a research concept – it’s becoming an essential part of how complex enterprises operate, compete, and deliver value. We’re looking for engineers who are eager to work at the intersection of AI innovation and real-world system integration. You’ll help architect, build, and deploy intelligent, agentic solutions that work across legacy infrastructure, modern platforms, and various stakeholder needs. In this role, you’ll work closely with senior architects, platform leads, and business stakeholders to design AI-enabled systems that solve meaningful problems across enterprise and mission environments. You’ll gain exposure to next-generation tooling, including LLMs, RAG pipelines, and AI agents, while contributing to high-impact efforts that demand both technical skill and strategic insight. If you’re excited by the idea of turning cutting-edge models into operational reality, this is the opportunity for you. Join us. The world can’t wait.

Requirements

  • 2+ years of experience with machine learning engineering in sof tware engineering or data engineering roles
  • Experience building AI-enabled features or prototypes using LLMs, embeddings, or 3rd party APIs, including OpenAI or Anthropic
  • Experience with basic prompt engineering concepts and using LLM SDKs or frameworks, including LangChain or LlamaIndex
  • Experience with a vector database or search framework, including Pinecone, Weaviate, or FAISS
  • Experience developing back-end services and building or consuming RESTful APIs
  • Ability to follow code review practices, document work, and maintain clean and reusable code
  • Ability to obtain a Secret clearance
  • Bachelor’s degree

Nice To Haves

  • Experience with AI-assisted development such as Cursor, Windsurf, or Claude Code
  • Experience with AI agent frameworks, including LangChain or LlamaIndex
  • Experience with cloud platforms, including AWS, Azure, or GCP, and their AI or ML services
  • Experience with open-source AI projects or personal projects involving generative AI
  • Experience with Git, CI / CD workflows, or containerization tools such as Docker
  • Experience with Python
  • Bachelor's degree in CS, Engineering, or a related field preferred
  • Master's degree a plus

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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