The Opportunity:

As an experienced software engineer, you know how to design, develop, and deliver production AI applications that demonstrate the practical value of generative AI, large language models (LLMs), and autonomous workflows. You combine strong software engineering fundamentals with modern AI development practices to build reliable, scalable, and secure systems that solve real-world problems.

In this role, you'll design AI applications that leverage prompting, retrieval-augmented generation (RAG), agentic workflows, evaluation pipelines, and human-in-the-loop interactions to deliver measurable mission impact. You'll build modular, reusable AI capabilities that integrate multiple model providers and external tools while optimizing for performance, cost, observability, and safety.

You'll rapidly prototype and iterate using AI-assisted development tools, applying eval-driven development and continuous experimentation to validate solutions before deploying them into production.

Working alongside data engineers, data scientists, solution architects, and product owners, you'll help define the architecture and engineering practices behind mission-critical AI applications while collaborating with a multidisciplinary team to deliver impactful mission solutions.

What You’ll Do:

• Design and develop production AI applications that integrate foundation models, retrieval systems, external tools, and enterprise data sources.
• Architect modular and reusable AI components for prompting, retrieval, orchestration, tool execution, memory, and evaluation.
• Build AI applications that leverage structured outputs, embeddings, RAG, long-context reasoning, and agentic workflows where appropriate.
• Develop data pipelines for ingesting, transforming, indexing, and refreshing structured and unstructured data used by AI applications.
• Implement evaluation frameworks to measure correctness, robustness, safety, and mission outcomes using both automated and human evaluation techniques.
• Optimize AI applications for latency, reliability, scalability, and operational cost through experimentation, benchmarking, and continuous improvement.
• Apply asynchronous programming and event-driven design patterns to support long-running workflows and distributed AI applications.
• Incorporate observability, monitoring, guardrails, access controls, and responsible AI practices throughout the application lifecycle.
• Deploy AI services securely on AWS or equivalent cloud platforms using Docker, Kubernetes, serverless, or other cloud-native deployment patterns.
• Apply modern software engineering practices, including automated testing, CI/CD, prompt and workflow versioning, and safe rollout of AI updates.
• Leverage AI-assisted development tools to accelerate implementation while maintaining engineering rigor, maintainability, and code quality.
• Collaborate with clients and cross-functional teams to identify high-value AI opportunities, rapidly prototype solutions, and transition successful concepts into production.
• Present technical solutions to both technical and non-technical stakeholders.

Join us. The world can’t wait. 

You Have: 

• 3 years of experience with software engineering in a professional work environment
• 2 years of experiencedeveloping AI or machine learning solutions in a professional environment
• Experience building production AI applications using programming languages such as Python
• Experience designing and implementing generative AI applications using large language models
• Experience building retrieval-augmented generation (RAG) solutions and integrating AI systems with enterprise data
• Experience with AI orchestration frameworks such as LangChain
• Experiencedeveloping AI applications that interact with external tools, APIs, or enterprise systems, and evaluating and improving AI application quality through testing, experimentation, or benchmarking
• Experience deploying cloud-native applications using cloud platforms such as AWS
• Secret clearance
• Bachelor's degree in Computer Science, Engineering, or a technology field

Nice If You Have: 

• Experience building AI applications that incorporate autonomous or agentic workflows
• Experience with multimodal AI applications involving text, images, audio, or documents
• Experience designing AI evaluation, observability, or safety frameworks
• Experience deploying portable, edge, or offline-capable AI applications
• Experiencedeveloping user interfaces that enable effective interaction with AI applications
• Experience delivering technical solutions in client-facing environments
• Experience using AI-assisted software development tools to improve engineering productivity
• Master's degree in Computer Science, AI, or a related technical field

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

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.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.