Lead GenAI Full-Stack Engineer

We are seeking a highly skilled Lead GenAI Full Stack Engineer to lead the enterprise-wide rollout and adoption of Generative AI solutions across engineering teams. The ideal candidate will have strong full-stack development expertise, hands-on experience with modern GenAI tools, and a proven ability to integrate AI capabilities into enterprise software development workflows.

This is a hands-on technical leadership role where you will drive AI-powered developer productivity, implement enterprise AI solutions, and collaborate with cross-functional teams to modernize the software development lifecycle., * Lead the end-to-end implementation and enterprise rollout of Generative AI tools such as Devin, Claude Code, Cursor, GitHub Copilot, and similar developer productivity platforms.

• Design and implement scalable AI-enabled development workflows across engineering teams.
• Develop and integrate enterprise applications using Java, Python, React/Angular, and TypeScript.
• Build and integrate AI capabilities into enterprise SDLC processes, including CI/CD pipelines, code repositories, APIs, and automation workflows.
• Define rollout strategies, implementation roadmaps, and onboarding plans for enterprise-wide AI adoption.
• Partner with engineering and business teams to improve software delivery using Generative AI technologies.
• Conduct developer enablement sessions, technical workshops, and training on AI tools, prompt engineering, and best practices.
• Monitor adoption metrics, usage analytics, and platform performance while driving continuous improvement.
• Troubleshoot implementation challenges and optimize AI tool performance at scale.
• Develop reusable playbooks, standards, and governance models for enterprise AI adoption.
• Ensure compliance with enterprise security, governance, and regulatory standards.
• Collaborate with cross-functional stakeholders to translate business requirements into scalable technical solutions.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 10+ years of software engineering experience with strong full-stack development expertise.
• Proven experience leading enterprise software development initiatives.
• Hands-on experience developing applications using:
• Java
• Python
• React or Angular
• TypeScript
• Strong experience with:
• Distributed Systems
• Microservices Architecture
• Event-Driven Architecture
• REST API Development & Integration
• Experience implementing and maintaining:
• CI/CD Pipelines
• Developer Tooling Ecosystems
• Experience with cloud platforms such as:
• Google Cloud Platform (GCP)
• OpenShift (OCP)

Required GenAI Skills

• Hands-on experience with enterprise Generative AI tools such as:
• Devin
• Claude / Anthropic Models
• Cursor
• GitHub Copilot or similar AI coding assistants
• Strong understanding of:
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Agent-Based Workflows
• Multi-Agent Systems
• Model Context Protocol (MCP)
• AI Orchestration & Tool Chaining
• Autonomous Agentic Systems, * Experience driving enterprise-wide AI adoption initiatives.
• Experience working in regulated enterprise environments with governance and compliance requirements.
• Strong leadership and mentoring experience.
• Excellent communication and stakeholder management skills.
• Experience collaborating with cross-functional engineering and business teams.
• Passion for emerging AI technologies and developer productivity improvements.

Required Technical Skills

• Java
• Python
• React
• Angular
• TypeScript
• Microservices
• Distributed Systems
• Event-Driven Architecture
• REST APIs
• CI/CD
• Git
• OpenShift (OCP)
• Google Cloud Platform (GCP)
• Devin
• Claude / Anthropic
• Cursor
• GitHub Copilot
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Model Context Protocol (MCP)
• Agentic AI
• Multi-Agent Systems
• AI Orchestration
• Developer Productivity Tools

Preferred Skills

• Enterprise AI Platform Implementation
• Software Development Lifecycle (SDLC)
• DevOps
• Cloud-Native Applications
• API Integration
• Enterprise Architecture
• Technical Leadership
• AI Governance
• Security & Compliance

• Opportunity to shape the future of AI-powered software development within a global enterprise.