AI - DevOps Architect
Experience: 12–18 Years
Location: Bangalore

Role Overview
We are looking for an experienced AI-DevOps Architect to lead the modernization of enterprise engineering platforms by combining DevOps best practices with AI-driven engineering capabilities. The ideal candidate will drive CI/CD transformation, establish agent-ready development environments, integrate AI into engineering workflows, and enable teams to adopt scalable, secure, and effective software delivery practices.

Key Responsibilities
CI/CD Modernization
Modernize and migrate legacy Jenkins pipelines to GitHub Actions.
Design and implement reusable workflows, templates, and engineering standards to reduce platform fragmentation.
Enhance observability, monitoring, and traceability across software delivery pipelines.
Standardize CI/CD practices across engineering teams and business units.
AI-Assisted Engineering
Leverage AI technologies to accelerate code migrations, code analysis, testing, and documentation generation.
Build secure,



repeatable AI-driven workflows with strong validation and governance practices.
Identify and implement high-impact AI use cases that improve engineering productivity.
Agent-Ready Repositories
Define repository standards, including metadata, documentation, instructions, templates, and governance controls.
Ensure repositories are structured to support AI-powered tools while maintaining security and compliance.
Establish best practices for repository organization and developer experience.
AI Agent Workflows & Governance
Integrate AI capabilities across GitHub, CI/CD platforms, Jira, and related engineering ecosystems.
Define guardrails for access control, security reviews, code validation, approvals, and compliance.
Implement human-in-the-loop validation mechanisms to ensure safe and reliable AI adoption.
Platform Enablement & Adoption
Drive adoption of standardized DevOps and AI engineering practices across teams.
Develop reusable starter kits, golden paths

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