VP- AI Leader

About the role:

As VP / Senior Director of AI & Digital Transformation, you will be the execution engine for our AI-led growth agenda. Unlike a traditional CTO role, this position is delivery-centric you will own AI solution delivery across customer accounts, embed AI into engineering workflows, and support business growth through hands-on solutioning and innovation. You will translate AI strategy into scalable, measurable impact.

KEY RESPONSIBILITIES :

AI Delivery & Cloud-Native Execution

•Own end-to-end delivery of AI/ML and GenAI solutions on AWS, Azure, and GCP hyperscaler platforms

•Design and implement cloud-native AI architectures leveraging SageMaker, Bedrock, Azure OpenAI, Vertex AI, and related services

•Ensure scalable, secure, and cost-optimised production deployments

•Drive MLOps and LLMOps practices across all AI programs for reliability and repeatability

AI Adoption Across Accounts

•Identify and implement high-value AI use cases within existing and new customer accounts

•Enable delivery teams to adopt AI-first and cloud-first approaches in day-to-day execution

•Drive adoption of hyperscaler-native AI capabilities and accelerators across active programs

Solutioning & Pre-Sales Support

•Partner with sales teams to build compelling AI-on-cloud value propositions for prospects and clients

•Lead architecture reviews, technical deep-dives, and RFP / proposal responses

•Participate in client workshops and executive briefings to showcase our AI capabilities Capability Building

•Upskill delivery teams on AI cloud platforms, GenAI frameworks, and MLOps best practices

•Build and maintain a library of reusable AI accelerators and cloud-native frameworks

•Contribute to and help lead the AI Centre of Excellence (Co

E)Governance & Responsible AI

•Ensure adherence to cloud security standards, AI governance frameworks, and regulatory compliance

•Monitor model performance, cloud costs, and infrastructure optimisation opportunities

•Champion responsible AI practices including bias detection, explainability, and compliance

Collaboration & Ecosystem Alignment

•Build and nurture strategic relationships with AWS, Azure, and GCP partner teams

•Collaborate closely with Engineering, Data, Product, and Delivery functions

•Align with partner ecosystems for joint go-to-market (GTM) and capability initiatives

Qualifications:

•20+ years in technology with 5+ years in an AI/ML leadership role

•Bachelor’s / Master’s in Computer Science, AI, Data Science, or a related field

•Deep understanding of LLMs, ML model architecture, and production-grade AI solution design

•Proven delivery experience on AWS (SageMaker, Bedrock), Azure (OpenAI, ML Studio, Fabric), GCP (Vertex AI, Generative AI Studio).

•Proven Expertise in Claude/ Cursor / Copilot usage for Agentic SDLC Lifecycle.

•Strong hands-on proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)

•Hands-on experience with MLOps / LLMOps pipelines and tooling

•Strong stakeholder management and executive communication

Skills Great to Have:

•Expertise in Generative AI, prompt engineering, RAG-based architectures, and agentic workflows

•Exposure to AI governance, responsible AI principles, and regulatory compliance frameworks

•Experience building or scaling an AI Centre of Excellence (CoE) or practice

•Certifications in AWS, Azure, or GCP AI & Data platforms

•Track record contributing to pre-sales and winning AI-led engagements