Build and scale the AI technology and solutions capability, transforming AI from an emerging technology capability into a repeatable, commercially viable set of industry solutions that can be sold and delivered to clients.
Key responsibilities
1. Build the AI capability
Define the AI vision, strategy, roadmap and capability-building plan
Establish the AI operating model, including architecture, engineering, data science, product and consulting capabilities.
Build and lead a team of AI architects, engineers, data scientists, consultants and solution leaders.
Develop AI talent through hiring, training, certifications and internal enablement.
Create reusable methodologies, frameworks, accelerators and reference architectures.
2. Develop industry-specific AI solutions
Identify high-value AI use cases specific to the ISUs clients and industry.
Convert emerging technologies such as GenAI, agentic AI, RAG and intelligent automation into practical enterprise solutions.
Develop packaged offerings that can be taken to market repeatedly rather than creating every solution from scratch.
Establish AI solution roadmaps from strategy and business case through implementation and managed services.
3. Drive client-facing consulting
Act as a senior AI advisor to CIOs, CTOs, business executives and other client stakeholders.
Lead AI strategy, transformation and solution-architecture engagements.
Participate in executive workshops, discovery sessions, RFPs and client presentations.
Help account teams identify AI opportunities within existing accounts.
4. Partner with sales and account leadership
Build the AI pipeline jointly with ISU sales/account leaders.
Create proposals, solution concepts, estimates and SOWs.
Support opportunity qualification and solution selling.
Develop relationships with strategic technology partners such as hyperscalers, model providers and AI platforms.
Establish measurable AI revenue, pipeline and bookings targets.
5. Build the delivery capability
Create standardized delivery approaches and governance for AI programs.
Ensure solutions are scalable, secure, responsible and production-ready.
Establish practices around AI governance, model evaluation, security, privacy and responsible AI.
Ensure successful transition from prototype/POC to production and ongoing operations.
6. Create an AI innovation engine
Continuously evaluate emerging AI technologies and determine their relevance to the ISU.
Build prototypes and accelerators to demonstrate value to clients.
Create reusable IP, frameworks, demos and solution assets.
Establish relationships with startups, universities, hyperscalers and AI ecosystem partners.
Salary Range: 187700-254000 a year
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