Agentic ai trainer

We are seeking an experienced Learning Consultant in Agentic AI and Enterprise AI to design and deliver advanced corporate training programs for enterprise professionals, architects, technical leads, and AI transformation teams.

Key Responsibilities

Deliver enterprise workshops on Agentic AI, MCP, A2 A, RAG, AI orchestration, AI governance, and enterprise Gen AI. Design hands-on labs, simulations, capstones, architecture exercises, and enterprise AI workshops. Create e-learning assets including recorded videos, assignments, assessments, facilitator guides, and learning content. Customize programs for enterprise clients across BFSI, Manufacturing, Retail, Healthcare, GCCs, and IT Services. Support capability-building initiatives, client workshops, and AI transformation programs.

Required Experience

10+ years of experience in Agentic AI, ML, data engineering, cloud, or enterprise architecture domains. Agentic AI experience like A2 A, MCP, & RAG is mandatory Strong B2 B corporate training experience for mid-level and senior professionals. Experience designing enterprise learning journeys and workshop-led learning programs. Should not be limited to fresher/B2 C-only training experience. Should not be limited to data science and Machine learning training. Skills with stacks like matplotlib, scikit learn, pandas, numpy would not qualify. We are looking for Agentic AI skills.

Technical Skills

Hands-on expertise in MCP, A2 A, multi-agent systems, RAG, AI orchestration, and enterprise AI workflows. (mandatory) Experience with Lang Chain, Lang Graph, Llama Index, Crew AI, Auto Gen, Semantic Kernel, and vector databases. (mandatory) Strong knowledge of AWS, Azure, or GCP AI ecosystems and cloud-native AI architectures. (Any one) Experience with MLOps / LLMOps, observability, governance, APIs, microservices, and scalable enterprise systems. (good to have)

Preferred Profile

Excellent communication, facilitation, and instructional design skills. Experience with blended learning models (ILT, VILT, self-paced). Ability to engage architects, managers, delivery leaders, and enterprise stakeholders. Experience with hackathons, innovation labs, or enterprise AI capability programs is preferred. (Optional)