Entrepreneur in Residence

We are seeking a visionary Entrepreneur in Residence (EIR)-AI Platform & Business to incubate, launch, and scale a new enterprise AI product and platform business based out of Chennai for a Global IT organisation. This role is designed for a true builder—someone who thrives in ambiguity, bridges deep technology with commercial opportunity, and has the leadership maturity to operate a startup within a global enterprise. The EIR will assume end-to-end ownership of strategy, product, engineering execution, go-to-market, customer adoption, P&L, and market expansion . This leader will build and lead high-performing, cross-functional teams spanning Product, Engineering, Sales, Foundational Model Experts (FDEs), and Enterprise Services , fostering a high-velocity innovation culture with enterprise-grade quality, governance, and trust. Key Responsibilities Vision, Strategy & Business Ownership Define and own the long-term vision for an enterprise AI platform and solutions portfolio. Develop a multi-year business strategy encompassing investment planning, market positioning, revenue models, and a clear scale roadmap. Own P&L accountability, platform monetisation, growth outcomes, and investor-style business metrics. Identify whitespace opportunities, new product lines, and sustainable differentiation in a rapidly evolving AI landscape. Product & Platform Leadership Lead the design and development of an enterprise-ready AI platform with a multi-use-case foundation, modular architecture, and built-in governance, observability, and security-by-design. Own product roadmap definition, feature prioritisation, value articulation, and customer-backed solution frameworks. Drive platform capabilities across generative AI, multi-model orchestration, LLMOps, vector stores, domain-specific AI accelerators, and API-first ecosystem design. Ensure platforms are scalable, cost-efficient, measurable, and seamlessly integrable within complex global enterprise environments. Engineering & Technical Execution Build and lead high-trust engineering teams across product engineering, MLOps, data engineering, and platform reliability. Accelerate execution across the full lifecycle: PoC → MVP → enterprise rollout → market-scale adoption. Enforce strong standards around quality, security, responsible AI, compliance, and governance. Champion a culture of experimentation while balancing enterprise-grade rigor and delivery discipline. Go-to-Market, Sales & Ecosystem Growth Own the go-to-market architecture, including ICP definition, pricing, packaging, commercial models, and partner strategies. Hire, mentor, and scale sales teams, solution architects, customer success leaders, and forward deployment engineers (FDEs). Build and convert enterprise pipelines, lead strategic customer engagements, and influence C-suite stakeholders to drive recurring revenue. Establish and grow strategic alliances with hyperscalers, AI model providers, SaaS platforms, system integrators, and industry partners. Leadership, Talent & Culture Build a startup-within-the-enterprise culture that is bold, fast-moving, experimentation-driven, and learning-oriented. Recruit, mentor, and develop product leaders, engineering managers, solution leaders, and GTM owners. Drive strong alignment and execution velocity across Product, Sales, FDE, and Services organizations. Lead by example—remaining hands-on when needed, from customer conversations and sprint reviews to investor-style strategy formulation. Required Qualifications & Experience 12–15 years of experience in senior product, engineering, or business leadership roles. Demonstrated track record of launching and scaling technology businesses, preferably in AI/ML, platform software, or SaaS . Strong understanding of LLMs, Generative AI, vector databases, RAG architectures, security, cloud platforms, and enterprise-grade system design . Prior experience with P&L ownership, fundraising or board exposure , or high-growth incubation within startups or large organizations. Ability to operate with high autonomy, make bold decisions, and lead multi-disciplinary teams at scale. Strong technical education in Computer Science, AI/ML, or Software Engineering from IITs, IISc, or equivalent elite global institutions (e.g., MIT, Stanford, Berkeley, CMU). Experience building and scaling businesses; ex-startup founders are strongly encouraged to apply . Deep curiosity and passion for AI and its transformative impact on enterprise businesses.