AI - DevOps Architect

Experience: 1218 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 efficient 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 robust 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

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