Enterprise AI Architect
Cognizant · Chennai · hybrid · Posted today
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About this role
Job Location : Chennai
Experience: 12-18+ Years
We are seeking an experienced Enterprise AI Architect to lead AI-driven Software Development Lifecycle (SDLC) transformation across engineering organizations. The role will drive adoption of GitHub Copilot, AI Coding Assistants, Agentic SDLC, DevSecOps, CI/CD, Developer Productivity, Engineering Excellence, and AI Governance frameworks while ensuring secure, scalable, and high-quality software delivery.
Key Responsibilities
- Define and implement AI-enabled SDLC strategy, governance, and best practices.
- Drive adoption of GitHub Copilot, AI Code Review, AI Test Automation, and Generative AI tools.
- Establish standards for source control, branching strategies, PR governance, code quality, and release management.
- Lead DevSecOps, CI/CD, Secure SDLC, Automation, and Platform Engineering initiatives.
- Improve engineering performance using DORA Metrics, Developer Productivity KPIs, AI Adoption Metrics, MTTR, Lead Time, and Deployment Frequency.
- Partner with Architecture, Engineering, Product, and Delivery leaders to drive enterprise-wide transformation.
Required Skills
- 12+ years in Software Engineering with leadership experience.
- Strong expertise in AI for Software Engineering, SDLC, Agile, DevSecOps, CI/CD, Engineering Excellence, and Software Architecture.
- Hands-on experience with GitHub, GitLab, Azure DevOps, GitHub Actions, Jenkins, Terraform, Kubernetes, Azure/AWS/GCP.
- Experience with SonarQube, CodeQL, Checkmarx, Snyk, SAST, DAST, Secure Coding, and Security by Design.
- Knowledge of Agentic AI, Prompt Engineering, AI Governance, AI-Assisted Development, and Developer Experience (DevEx).
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About Cognizant

Cognizant
IT Services & Consulting
241.5k+
employees
1994
32 years old
Teaneck. New Jersey.
United States (USA)
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