AI Transformation Leader

About the Role

This is a high-visibility high-impact role at the intersection of AI strategy engineering excellence and organizational transformation. You will be the primary catalyst for accelerating AI adoption improving engineering KPIs enabling cutting-edge AI tooling and serving as the key bridge between our India teams and the Global AI Center of Excellence.

If you are a hands-on technologist who thrives on building culture coaching talent and driving measurable change at scale this role was built for you.

Key Responsibilities

• Define and own the India site AI transformation roadmap aligned with companys global AI-First strategy with clear OKRs milestones and quarterly reporting to senior leadership

• Evaluate pilot and drive adoption of AI-powered developer tools (e.g. GitHub Copilot Cursor Claude Code LLM-assisted code review AI test generation) integrated into existing engineering workflows

• Track and improve engineering KPIs including DORA metrics AI adoption rates developer productivity and defect escape rates through data-driven insights and rapid experimentation

• Design and deliver AI upskilling programs workshops hackathons context engineering clinics and structured learning curricula across all engineering levels

• Act as the primary India representative in Global AI COE forums bringing global initiatives to local teams and amplifying India-led innovations to the global organization

• Launch and lead innovation programs including AI hackathons research sprints and GenAI proof-of-concept incubators relevant to identity security and cybersecurity domains

• Break down silos across engineering product and security teams by embedding AI-first thinking into planning execution and delivery

• Build and chair an AI Transformation Council with representatives across engineering domains to sustain momentum and ownership across the site

Core Skills & Qualifications

• 12 years in software engineering with 3 years in a senior technical leadership principal or staff-level role

• Demonstrable hands-on experience with GenAI tools and LLM APIs (OpenAI Anthropic Azure OpenAI) and AI-assisted development workflows

• Strong grounding in software engineering quality practices: CI/CD DORA metrics test automation and code review culture

• Proven experience driving large-scale technology adoption and change management programs across 100 engineers

• Excellent communication and executive stakeholder management skills comfortable presenting to VP and C-level leadership

• Strong coaching and mentoring track record with genuine passion for engineering talent development

• Experience operating in a global matrixed organization with cross-timezone collaboration

• Data-driven mindset skilled at defining instrumenting and tracking engineering and AI adoption KPIs

#LI-HK01

Qualifications :

Preferred Qualifications

• Experience building or leading an AI Center of Excellence AI Guild or internal AI community of practice

• Published thought leadership: conference talks blog posts patents or open-source contributions in AI/ML or developer productivity

• Advocacy for diversity in tech particularly Women in Technology and early-career talent programs

• Familiarity with cloud-native AI/ML platforms (AWS Bedrock AWS SageMaker Azure ML Google Vertex AI)

• Hands-on exposure to agentic AI frameworks and retrieval-augmented generation (RAG) pipelines

• Background in cybersecurity identity & access management or enterprise security product development

Ideal Candidate Profile

You are a practitioner first you lead by doing not just directing. You are a natural bridge-builder who earns credibility with both engineers and executives. You simplify complexity without losing depth and you anchor every initiative to measurable outcomes. Most importantly you are energized by building culture you see complacency as a solvable problem and treat every engineer as a talent worth investing in.

You thrive in ambiguity move fast and leave teams more capable than you found them.

Remote Work :

No

Employment Type :

Full-time