AI Solutions Engineer
Your growth matters to us - explore our career development opportunities.
BE EMPOWERED TO SUCCEED
Connect with others in our people-first culture and enhance our collective ingenuity.
SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life.
YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.
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.
RESPONSIBILITIES
• 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 (OpenSearch 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 LangChain or LlamaIndex. • Engage with next‑generation AI tooling and contribute to high‑impact initiatives.
QUALIFICATIONS
- 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 LangChain or LlamaIndex.
- Proficiency with Python.
- Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services.
- Experience with vector databases or search frameworks (OpenSearch 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.
ENJOYABLE ADDITIONAL SKILLS (Nice If You Have)
- Experience with AI‑assisted development tools such as Cursor, Cline, Windsurf, or Claude Code.
- Experience with AI agent frameworks (LangChain or LlamaIndex).
- 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.
SECURITY CLEARANCE
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.
COMPENSATION
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 \$176,000.00 (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.
IDENTITY STATEMENT
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
WORK MODEL
Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
COMMITMENT TO NON‑DISCRIMINATION
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
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