We are looking for a Senior AI Platform Engineer to build AI-powered automation for complex cloud engineering environments. You will combine your platform engineering, software development and cloud expertise with modern Generative AI technologies to automate parts of the software development lifecycle (SDLC). Your work will focus on building reusable AI-assisted workflows that help engineering teams understand large codebases, discover service dependencies, diagnose CI/CD failures, analyze cloud services and generate reliable technical documentation . This is not a traditional data science or machine learning role. We are looking for an engineer who understands how modern software and cloud platforms work and can apply LLMs, RAG and AI agents to real engineering problems. What you'll work on You will design and build AI-powered engineering workflows such as: Analyzing large Git repositories and identifying service boundaries and dependencies Building AI agents that interact with source code, Git platforms, CI/CD systems and engineering tools Diagnosing build and deployment failures using source code, configuration and pipeline logs Creating RAG-based solutions for searching and understanding large codebases and technical documentation Automating the generation of architecture and engineering documentation Connecting LLMs to engineering systems through APIs and tool calling Building controlled agentic workflows with validation, retries, confidence checks and human approval steps Evaluating different LLMs and approaches for software engineering use cases Turning successful prototypes into reusable, maintainable and production-ready engineering solutions You will work closely with cloud, platform and software engineers within the T Cloud Public / Meridian engineering environment .