AI Software Engineer, Senior

AI Software Engineer, Senior The Opportunity:

As an experience d sof tware 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 sof tware engineering fundamentals with modern AI develop ment 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 develop ment tools, applying eval-driven develop ment 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 sof tware engineering practices, including automated testing, CI / CD, prompt and workflow versioning, and safe rollout of AI updates.

Leverage AI-assisted develop ment 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 sof tware engineering in a professional work environment

2+ years of experience develop ing 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

Experience develop ing 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

Experience develop ing user interfaces that enable effective interaction with AI applications

Experience delivering technical solutions in client-facing environments

Experience using AI-assisted sof tware develop ment 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.


Skills Assessment
As part of Booz Allen’s skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process.


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 $86,900.00 to $198,000.00 (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 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