Technical Trainer - Agentic AI
Aim · Bengaluru · onsite · Posted 34d ago
Not disclosed8–10 yrsfulltimeSourced from
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About this role
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, A2A, RAG, AI orchestration, AI governance, and enterprise GenAI.
- 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
- 8+ years of experience in Agentic AI, ML, data engineering, cloud, or enterprise architecture domains. Agentic AI experience like A2A, MCP, & RAG is mandatory
- Strong B2B 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/B2C-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, A2A, multi-agent systems, RAG, AI orchestration, and enterprise AI workflows. (mandatory)
- Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, 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)
Sourced from foundit
Skills
AutoGenCrewaigoogle cloud platformamazon web servicesSemantic KernelMCPvector databasesA2Aenterprise AI workflowsRAG AI orchestrationMicrosoft AzureLanggraphLangchainAgentic AiLlamaindex
About Aim
Aim
Redmond
United States
About
AIM = AI autonomy platform for heavy machinery Scalable earthmoving is not optional. It’s required for our civilization to flourish. Critical materials like copper, iron ore, lithium are in short supply and dangerous to mine. One billion people live less than 10 meters above rising oceans, 1 in 6 people live in areas with significant wildfire risk, 43% of critical infrastructure is in disrepair and will cost $2.6T to fix, and pollution from the Manhattan Project is still being cleaned up with a $300B invoice, food production must increase 60% to feed 2050 population, it will take 757 years to remove mines in Ukraine with traditional methods. What do these problems have in common? One, our civilization does not have a feasible way to address challenges of this magnitude. Two, earthmoving is a key part of the solution. Our commercially deployed autonomy product runs a wide range of existing earthmoving machinery (new, older, large, small, any brand). As a result, our customers run their operations at maximum throughput and safety. The AIM platform unlocks tremendous value across mining, construction, and defense. AIM has been built by world-class engineers who developed cutting-edge products Google, Waymo, Tesla & SpaceX. We bring deep expertise in autonomy, robotics, hardware, and advanced AI deployed at scale.
Industries
Artificial Intelligence (AI)ConstructionIndustrial AutomationInfrastructureMachine LearningMining Technology