Agentic AI Software Engineer

Job Number: R0223058 The Opportunity: As an experienced engineer, you know that artificial intelligence (AI), particularly Agentic AI and Generative AI, is transforming the world, including every aspect of the way businesses are run. We need your technical knowledge and problem-solving abilities to identify and develop opportunities for the use of AI agents to solve real-world business and operational problems that will help Booz Allen and its clients execute missions of national importance. In this role, you will design and build new agentic AI products and offerings, integrating them into specific client missions, both within the enterprise business context and in operational use cases. You will collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions that can scale to production. Your advanced solutioning skills and extensive technical expertise will help drive innovation that is applicable across multiple client domains. Join us. The world can't wait. You Have: 5+ years of experience in software engineering, including working on or leading teams to build customer-facing solutions and products Experience in a collaborative, cross-functional team environment, consisting of security engineers, data scientists, machine learning engineers, and designers Experience integrating LLMs or multi-modal models with applications or user interfaces Experience building RAG systems with vector databases such as Pinecone, Weaviate, or ChromaDB, and embedding models Experience with the development, deployment, or maintenance of AI agents or agentic solutions, including use of agentic frameworks such as LangGraph, LlamaIndex, or CrewAI Ability to optimize LLM performance through strategic prompt design and engineering Ability to distill complex technical concepts into easily understood summaries for business leaders with a non-technical background Curiosity, motivation, and passion for experimentation and continuous learning at the forefront of emerging technologies, approaches, and architectures Ability to obtain a Secret clearance HS diploma or GED

Nice If You Have: 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, Windsurf, or Claude Code Experience with Google agent-to-agent communication (A2A) 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 Experience working with federal clients Strong communication skills Secret clearance

Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation: At Booz Allen, we celebrate your contributions, provide opportunities 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. The projected salary range for this position is $86,800 to $198,000 annually. 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 flexibility and collaboration, whether in person or remotely. If listed as remote or hybrid, you'll periodically work from a Booz Allen or client site. If onsite, you'll work with colleagues and clients in person as needed. Commitment to Non-Discrimination: All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other protected status by law. #J-18808-Ljbffr