AI Transformation Architect (PDLC)

We are seeking an AI Transformation Architect / Implementation Specialist responsible for driving AI adoption across the Product Development Lifecycle (PDLC). This role will work closely with engineering, product, QA, DevOps, and platform teams to implement AI-driven development practices, improve developer productivity, and establish scalable AI enablement frameworks across enterprise environments., * Drive AI adoption across software development and engineering workflows

• Embed with engineering and product teams to implement AI-assisted development practices
• Evaluate and integrate generative AI tools into existing SDLC/PDLC processes
• Define AI usage standards, governance models, and best practices
• Create reusable playbooks, templates, prompt libraries, and reference architectures
• Integrate AI capabilities into IDEs, CI/CD pipelines, testing frameworks, and developer platforms
• Conduct workshops, enablement sessions, and hands-on coaching for engineering teams
• Collaborate with DevOps, security, compliance, and platform teams to implement responsible AI practices
• Define and track metrics related to developer productivity, cycle time, test coverage, and operational efficiency
• Support AI-driven automation initiatives across development, testing, deployment, and operations
• Drive change management and enterprise-wide AI transformation initiatives
• Prototype and demonstrate AI use cases that improve software delivery outcomes
• Ensure AI adoption aligns with governance, security, compliance, and risk management standards

Do you have experience in Terraform?, * Software Development Lifecycle (SDLC/PDLC)

• Generative AI tools and developer assistants
• GitHub Copilot / Claude Code / AI coding assistants
• AI adoption and engineering transformation
• DevOps and CI/CD practices
• Jenkins / GitHub Actions
• Kubernetes and Docker
• Terraform and Infrastructure as Code (IaC)
• Azure / AWS / GCP cloud platforms
• GitOps methodologies
• Monitoring, logging, and observability platforms
• AI governance, security, and compliance
• Prompt engineering and AI workflow optimization
• Developer productivity and platform engineering
• Agile and enterprise delivery methodologies
• Change management and cross-functional collaboration

Preferred Background

• Experience working in large enterprise or regulated environments
• Prior experience leading AI enablement or digital transformation initiatives
• Strong consulting, coaching, or internal transformation experience
• Experience building reusable frameworks, standards, and enablement assets
• Strong communication and stakeholder management skills