Shine Vijayan

About Shine Vijayan

Enterprise AI Executive with 22+ years of experience owning AI strategy, platforms, governance and value realization across regulated global enterprises.I help enterprises deploy AI at scale without blowing up risk, compliance or capital while ensuring measurable business impact.Proven leader in defining enterprise AI operating models, capital allocation, and risk governance for Generative AI, Predictive AI, and agentic systems at scale. Accountable for translating AI investment into measurable business outcomes while ensuring regulatory compliance, model risk control, and long-term platform sustainability.I lead customer-embedded engineering squads delivering large-scale GenAI and ML solutions across Pharmaceutical, FMCG and Technology sectors.I work at the intersection of AI strategy, platform economics, regulatory compliance, and enterprise risk, partnering closely with Finance, Legal, Compliance, Privacy, Security, HR, and Business leadership.Key strengths include:Designing and scaling enterprise GenAI platforms with end-to-end LLM lifecycle managementPioneering AI governance frameworks ensuring transparency, compliance, and ethical impactBuilding multi-cloud, SaaS, and edge AI ecosystems aligned with business and regulatory goalsLeading AI product roadmaps, agile development, and AI-driven digital transformation initiatives

Experience

1. Director, Ai Platforms and Strategy

   Novartis

   Jul 2025 — Present · Hyderabad, IN

   Architected a multi-mode enterprise AI platform spanning sovereign, hosted, and rented AI deployment patterns for regulated and non-sensitive workloads.Built portfolio-level AI investment and ROI frameworks spanning platform spend, tooling, infrastructure, and custom applications.Improved pilot-to-production discipline across AI initiatives by reducing low-value experimentation and increasing deployment rigor.Defined the enterprise AI control-plane blueprint across model abstraction, orchestration runtime, semantic retrieval, observability, and policy-as-code governance.Drove pilot-to-production discipline, materially reducing low-value experimentation.Advocating for ethical AI governance and accelerating enterprise-wide adoption of cutting-edge GenAI solutions in Pharma.Leading multidisciplinary teams (AI, ML, LLMOps, product engineering, platform engineering) to build scalable and compliant AI and GenAI capabilities.Partner with business leads, data owners, legal, and compliance teams to translate ambiguous business needs into robust engineering solutions.

Education

• Cochin University of Science and Technology

  B.Tech, Electronics Engineering

• Indian Institute of Management Bangalore

  Executive MBA, Strategy & Analytics

• Institute of Product Leadership

  Advanced Product Management & Marketing Professional

• Birla Institute of Technology and Science, Pilani

  Master of Technology - MTech, Artificial Intelligence & Machine Learning

Skills

• Software Development
• Scrum
• Software Project Management
• Performance Management
• Operating Systems
• Architectural Patterns
• Cuda
• Business Intelligence
• Software Engineering
• Debugging
• Rtos
• Program Management
• System Architecture
• Software Design
• Linux
• Team Management
• Software Development Life Cycle (Sdlc)
• Iot
• Test Automation
• Project Management
• Cloud Printing
• Devops
• Uml
• Cross-Functional Team Leadership
• Solution Architecture
• Embedded Linux
• Requirements Analysis
• Arm
• Heterogeneous System Architecture
• Agile Methodologies
• Team Building
• Databases
• Clearcase
• Strategic Planning
• Agile Project Management
• Product Management
• Business Strategy
• Strategy
• Distributed Systems
• Team Leadership