AI Solutions Engineer

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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.

• Design and develop AI‑enabled features or prototypes using LLMs, embeddings, or third‑party APIs, including OpenAI or Anthropic.
• Build backend services and RESTful APIs that integrate AI capabilities into existing systems.
• Follow code‑review practices, document work, and maintain clean, reusable code.
• Leverage cloud platforms (AWS, Azure, or GCP) and their AI or ML services.
• Work with vector databases or search frameworks (Open Search or Weaviate) to support context‑aware AI solutions.
• Collaborate with senior architects and business stakeholders to translate complex operational challenges into AI‑driven solutions.
• Utilize prompt engineering principles and LLM SDKs or frameworks such as Lang Chain or Llama Index.
• Engage with next‑generation AI tooling and contribute to high‑impact initiatives.

• 2+ years of experience with machine learning engineering in software or data engineering roles.
• Experience building AI‑enabled features or prototypes using LLMs, embeddings, or third‑party APIs, including OpenAI or Anthropic.
• Experience with basic prompt engineering concepts and LLM SDKs or frameworks such as Lang Chain or Llama Index.
• Proficiency with Python.
• Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services.
• Experience with vector databases or search frameworks (Open Search or Weaviate).
• Experience developing backend services and consuming or building RESTful APIs.
• Ability to follow code‑review practices, document work, and maintain clean, reusable code.
• Secret clearance.
• HS diploma or GED.

• Experience with AI‑assisted development tools such as Cursor, Cline, Windsurf, or Claude Code.
• Experience with AI agent frameworks (Lang Chain or Llama Index).
• Experience with open‑source AI projects like Ollama or personal projects involving generative AI.
• Experience with Git, CI/CD workflows, or containerization tools such as Docker.
• Bachelor’s degree in Computer Science or Engineering.

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required.

Salary at Booz Allen is determined by various factors including location, education, skills, and experience. The projected compensation range for this position is  77,600.00 to   (annualized USD). This posting will close within 90 days from the posting date.

In addition, we offer health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time and part‑time employees working at least 20 hours a week qualify for our benefit programs.

As part of the application…