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 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, Retrieval-Augmented Generation (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.
You Have:
5+ years of experience in software engineering with exposure to production-scale AI or ML-enabled applications
Experience integrating LLMs or multimodal models into user-facing applications or workflow tools
Experience with RAG systems using vector databases, including OpenSearch or Weaviate and embedding models
Experience with backend engineering in Python
Experience building or supporting AI agents, including using frameworks such as LangChain, LlamaIndex, or CrewAI
Knowledge of APIs, cloud functions, and deployment pipelines
Ability to work in cross-functional teams and collaborate with data scientists, platform engineers, UX designers, and security stakeholders
Ability to write and optimize prompts, chains, and tool integrations to improve LLM performance in real-world use cases
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree
Nice If You Have:
2+ years of experience integrating with third-party platforms, including Salesforce and ServiceNow
2+ years of experience working with modern AI capabilities in machine learning, including deep learning and LLM frameworks
Experience with AI-assisted development such as Cursor, Cline, Windsurf, or Claude Code
Experience with Graph DB such as AWS Neptune, Neo4j, or Azure Cosmos DB
Experience with AWS AI-related services and Model Context Protocol (MCP)
Experience with infrastructure-as-code or standup of cloud-based infrastructure and platform services, including AWS, Azure, or Google Cloud Platform
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.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.
Top Skills
What We Do
Booz Allen is an advanced technology company delivering outcomes with speed for America’s most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed—accelerating the nation to realize our purpose: Empower People to Change the World®.
Why Work With Us
At Booz Allen, our culture of heart and performance will fuel your growth and empower you to succeed, both inside and outside of the workplace. Discover your future career and join us. The world can't wait.
