AI SDLC Architect (Agentic AI / AI-Native Engineering)
Role details
Job location
Tech stack
Job description
We are looking for a senior AI SDLC Architect to lead enterprise-scale AI-native software engineering transformation initiatives. Key expertise required: Agentic AI & Multi-Agent Systems (LangChain, LangGraph, CrewAI) AI-powered SDLC Transformation LLM Architectures, RAG Pipelines & Prompt Engineering DevOps, CI/CD & Platform Engineering Kubernetes, Cloud Platforms (AWS/Azure/Google Cloud Platform) AI Governance, Security & Responsible AI AI-driven QA, Release Automation & AIOps
Requirements
10 15 years in software engineering/architecture Hands-on experience architecting enterprise AI systems Strong background in SDLC modernization & automation Experience integrating AI into real engineering workflows Leadership experience working with CIO/CTO and engineering teams Key focus areas include: AI-assisted development Autonomous testing frameworks Predictive release intelligence AI-powered requirement-to-code automation Context-aware coding assistants Self-healing and AI-driven operations Looking for architects who can operate strategically and hands-on while driving large-scale AI transformation.