> Markdown version of [/jobs/ext/612273-ai-platform-engineer-senior](https://www.wearedevelopers.com/jobs/ext/612273-ai-platform-engineer-senior). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer, Senior - **Company:** Booz Allen Hamilton Inc. - **Location:** Laurel, MD, United States - **Experience:** Expert - **Salary:** $86,800.0 - $198,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Encodings, Distributed Systems, Python (Programming Language), Prometheus, Software Engineering, Systems Integration, High Performance Computing, Grafana, AI Platforms, Kubernetes, BIG-IP Access Policy Manager (APM) - **Published:** June 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5430165eb2659572 ## About the Role Do you have experience in Systems integration?, Do you have a Bachelor's degree?, * Experience designing, building, and operating large-scale production systems * Experience in systems integration across various technologies and platforms * Experience with cloud engineering in AWS * Experience programming in Python * Experience with Kubernetes administration and deployment patterns * Experience implementing and scaling observability solutions, including APM, OpenTelemetry, Grafana, or Prometheus * Experience leading technical initiatives and influencing organizational change * Experience assisting with developing technical policies and governance frameworks * TS/SCI clearance with a polygraph * Bachelor's degree and 12+ years of experience in software engineering, or 16+ years of experience in software engineering in lieu of a degree Nice If You Have: * Experience with AI inference technologies, including vLLM or LiteLLM * Experience with agentic frameworks, including LangChain * Experience with vector databases and embedding systems * Experience with high-performance computing or distributed systems ## Related Videos - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Data binning and understanding histograms](https://www.wearedevelopers.com/videos/2086-data-binning-and-understanding-histograms) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) - [Keycloak case study: Making users happy with service level indicators and observability](https://www.wearedevelopers.com/videos/1599-keycloak-case-study-making-users-happy-with-service-level-indicators-and-observability) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)