AI - DevOps Architect

Job description

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 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 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, documentation, and onboarding frameworks. * Gather feedback from engineering teams and continuously improve platform capabilities and developer experience. Required Experience \& Skills DevOps \& Platform Engineering * Strong hands-on experience with **GitHub Actions** and **Jenkins**. * Proven expertise in designing reusable workflows, developer platforms, and automation frameworks. * Strong programming skills in **Python, Bash, TypeScript, or Go**. * Experience with **Docker, Kubernetes**, and cloud-native application delivery. * Deep understanding of GitHub ecosystem components, including Pull Requests, CODEOWNERS, branch protection rules, and repository governance. * Experience leading enterprise-wide CI/CD transformation initiatives. AI \& Agentic Engineering * Hands-on experience with AI-powered development tools such as **GitHub Copilot, Claude, Cursor, or similar platforms**. * Practical experience applying AI to software engineering activities including code analysis, testing, migration, and documentation. * Expertise in managing repository-level AI context, prompts, instructions, and knowledge assets. * Strong understanding of AI risks, including hallucinations, security vulnerabilities, data leakage, and over-automation. * Experience implementing human-in-the-loop validation processes and responsible AI practices. Cloud \& Automation * Experience with cloud platforms such as **Azure, AWS, or GCP**. * Knowledge of Infrastructure as Code (Terraform, CloudFormation, or equivalent). * Familiarity with DevSecOps practices and security automation. Leadership Expectations * **End-to-End Ownership:** Drive platform modernization initiatives from strategy through execution. * **Execution Focus:** Deliver practical tooling, automation, and measurable outcomes. * **Innovation Mindset:** Translate emerging AI capabilities into scalable engineering solutions. * **Strategic Thinking:** Balance enterprise standardization with project-specific needs. * **Influential Leadership:** Lead by example, mentor teams, and drive adoption through tangible results. * **Continuous Improvement:** Foster a culture of automation, innovation, and engineering excellence. Preferred Qualifications * Experience leading large-scale DevOps transformation programs. * Exposure to AI-powered software development lifecycle (SDLC) frameworks. * Experience building Internal Developer Platforms (IDP) and developer self-service capabilities. * Relevant certifications in Cloud, Kubernetes, DevOps, or AI technologies are preferred. **Location:** Bangalore **Experience:** 12--18 Years **Employment Type:** Full-Time