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 repeatabilityAI 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 programsSolutioning & 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 capabilitiesCapability 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 (CoE)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 complianceCollaboration & 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 skillsGreat 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
