AI Software Engineer, Senior

Booz Allen Hamilton; Honolulu (HI); On-site; USD 140,000 - 180,000; Full time

Job summary

Booz Allen Hamilton is seeking a Senior AI Software Engineer in Honolulu to design, develop, and deliver production AI applications that demonstrate the practical value of generative AI, LLMs, and autonomous workflows. You will work with data engineers, data scientists, solution architects, and product owners to define architecture and engineering practices for mission-critical AI systems.

You will prototype and iterate using AI-assisted development tools, apply eval-driven development, and

Qualifications

• 3+ years of experience with software engineering in a

Responsibilities

• Design and develop production AI apps integrating foundation models, retrieval systems, tools, and enterprise data.
• Architect modular AI components for prompting, retrieval, orchestration, tool execution, memory, and evaluation.
• Build AI apps using embeddings, RAG, long-context reasoning, and agentic workflows.
• Develop data pipelines for ingesting, transforming, indexing, and refreshing data used by AI apps.
• Implement evaluation frameworks to measure correctness, robustness, safety, and mission outcomes.
• Optimize AI apps for latency, reliability, scalability, and cost via benchmarking and experimentation.
• Apply asynchronous programming and event-driven design to support long-running workflows.
• Incorporate observability, guardrails, access controls, and responsible AI practices.
• Deploy AI services securely on cloud platforms using Docker/Kubernetes/serverless.
• Apply modern software engineering practices like automated testing, CI/CD, and safe rollout of AI updates.
• Leverage AI-assisted tools to accelerate implementation while maintaining code quality.
• Collaborate with clients and teams to identify AI opportunities and prototype solutions.
• Present technical solutions to both technical and non-technical stakeholders.

Job description

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.

Job Number: R0248104
AI Software Engineer, Senior

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