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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Developer - **Company:** Booz Allen Hamilton Inc. - **Location:** San Diego, CA, United States - **Experience:** Expert - **Salary:** $86,900.0 - $198,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Application Integration Architecture, Microsoft Azure, Cloud Computing, Code Review, Cyber Security, Information Systems, Computer Engineering, Data Infrastructure, Data Stores, Software Debugging, Python (Programming Language), NoSQL, Search Technologies, Software Engineering, Systems Architecture, Workflow Management Systems, Enterprise Data Management, Google Cloud, Large Language Models, Model Validation, Git, SC Clearance, Containerization, Information Technology, HuggingFace, Machine Learning Operations, Software Version Control, Databricks - **Published:** August 10, 2026 - **Apply:** https://www.dice.com/job-detail/83946517-c58a-4cf8-9af1-0bbb3d8f83f0 ## About the Role * 4+ years of experience in a role that includes software development, integration, or automation in a professional environment * Experience in Python for developing, testing, and debugging components others rely on services, automation, and data or integration utilities * Experience integrating APIs and working with relational, document, or NoSQL stores, and tracing failures across components * Experience delivering in small teams with Agile, Kanban, or structured collaboration, and with Git and code review norms * Experience with cloud or enterprise deployment patterns or on-prem integration environments * Ability to translate mission or security requirements into concrete technical tasks and explain tradeoffs to stakeholders * Secret clearance * Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, Information Systems, or a STEM field * DoD 8570 / 8140 IAT Level II certification, * Experience designing AI/ML or LLM-enabled architectures, including model selection, workflow design, orchestration, and integration into mission workflows * Experience with AI/ML or LLM-enabled patterns, including RAG, embeddings, vector search, prompt or tool orchestration, or frameworks such as OpenAI Agents SDK, Google ADK, LangChain, or comparable * Experience with enterprise data and analytics platforms the team may leverage including DoD's Advana or War Data Platform (WDP), Databricks, and Palantir Foundry * Experience implementing AI/ML or LLM solutions and model deployment locally or through cloud-based technologies * Experience conducting process transformation analyses, mapping as-is and to-be workflows, and developing solution blueprints * Experience with LLM model registries, such as Hugging Face, embedding models, and vector databases * Experience with cloud-based technologies, such as AWS, Azure, or Google Cloud Platform, and software version control and containerization * Knowledge of networking, security, and system architecture * TS/SCI clearance * Master's degree in Computer Science, Computer Engineering, Information Systems ora related technology field ## Description Are you looking to bring strong hands-on technical skills , including sof tware and integration, to cybersecurity and mission challenges affecting Navy efforts in the San Diego region? Our team is a skilled group that partners deeply with clients and mission stakeholders: we clarify the problem, shape technical approaches, and deliver practical outcomes in secure, compliant settings. This is not a typical role on a large sof tware product team. It is a multidisciplinary environment where you may move between advisory conversations, solution and implementation planning, and focused integration and implementation, including AI-enabled automation and analytics where they reduce risk and improve speed and quality of cyber and mission workflows. You will work with cybersecurity spe cia lists, engineers, and partners supporting Navy customers and warfare center s. Success requires curiosity, ownership, and comfort learning in classified or controlled environments. We value clear communication, sound judgment, and the ability to translate between mission language and technical reality, always with security, RMF, and operational constraints in view. With mentorship and hands-on problem-solving, we deliver outcomes that reduce cyber risk and support the fleet and ashore enterprise. Work with us to modernize Navy cyber missions through responsible use of data, automation, and AI. What You'll Do: * Understand the client and the problem: participate in discussions with mission and technical partners to clarify objectives, constraints, and security or compliance boun dari es. * Shape solutions: contribute to technical approaches, tradeoff analysis, and implementation plans such as what to build or integrate, how to phase work, and what evidence or controls matter. * Deliver hands-on technical work: design, implement, test, and troubleshoot scripts, services, APIs, or automation, including AI / LLM-assisted workflows where appropriate, so recommendations are credible and deployable, not slide-only. * Integrate systems and data: work with REST / HTTP APIs, data stores, and enterprise or cloud patterns to connect capabilities safely and repeatably. * Document and communicate: produce clear artifacts for technical and non-technical audiences such as design notes, limitations, operational implications, or security- relevant behaviors. * Respect the cyber context: align work with RMF, control expectations, and secure engineering practices, and partner with cybersecurity and authorization stakeholders. * Improve how we work: use version control, review practices, and lightweight testing appropriate to the e nga gement, and stay current on responsible AI expectations in government settings. ## Related Videos - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [AI Driven Development](https://www.wearedevelopers.com/videos/100340-ai-driven-development) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)