Role Overview:

The AI Expert at Regenesys School of AI (SAI) India is a high-impact, deeply technical role at the intersection of AI research, enterprise consulting, and next-generation skilling.

You will work directly with India's leading enterprises across BFSI, Healthcare, Manufacturing, GCCs, and IT/ITeS - designing and deploying real-world AI solutions while simultaneously shaping the learning journeys of the next generation of AI practitioners and leaders.

We are looking for practitioners who have built things - run PoCs, deployed production AI systems, designed GenAI architectures, and stood in front of CXOs to make the case for AI transformation.

Key Responsibilities:

1. AI Consulting & Enterprise Engagements:

- Lead and support enterprise AI consulting engagements - from discovery and use-case identification through PoC design, production deployment, and adoption.

- Engage with CXO, business, and technology stakeholders to define AI strategy, use-case portfolios, GenAI adoption roadmaps, and ROI frameworks.

- Conduct AI maturity diagnostics, architecture reviews, and readiness assessments across client organizations.

- Create reusable consulting assets: industry playbooks, reference architectures, evaluation rubrics, governance templates, and implementation toolkits.

2. PoC Development & Accelerator Building:

- Design, prototype, and deliver enterprise-grade AI PoCs with clearly defined success metrics, evaluation criteria, and production-readiness checklists.

- Build and maintain a library of repeatable GenAI accelerators - RAG starter kits, agent templates, workflow copilots, and domain-specific demo packs.

- Apply best practices for hallucination mitigation, prompt engineering, guardrails, security review, and responsible AI governance.

- Contribute to the SAI PoC engine - defining standards for use-case selection, cost/latency/accuracy targets, and PoC-to-production transition playbooks.

3. AI Training Design & Delivery:

- Design and deliver high-impact AI learning programs - from CXO executive immersions and functional tracks to technical practitioner bootcamps and role-based journeys.

- Develop hands-on lab guides, capstone projects, case studies, and real-world simulations that drive measurable learner outcomes.

- Translate complex AI/ML concepts into clear, compelling narratives for diverse audiences - from the boardroom to the engineering floor.

- Contribute to certification standards, competency frameworks, assessment rubrics, and quality assurance processes for SAI training products.

4. AI Platform & Labs Contribution:

- Contribute to the SAI AI Enablement Platform - building sandbox environments, lab exercises, auto-evaluation harnesses, and prompt/agent pattern libraries.

- Align platform components with consulting accelerators and training modules to create a seamless practitioner experience.

- Participate in model evaluation, LLMOps tooling, and responsible AI toolchain design.

5. Thought Leadership & Community:

- Publish POVs, white papers, blogs, and research on applied AI - establishing SAI India's intellectual authority in the market.

- Represent SAI at industry conferences, webinars, university events, and partner forums.

- Mentor junior AI practitioners, researchers, and interns within the SAI ecosystem.