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Learn to design multi-agent workflows that actually hold up in enterprise environments: planning, memory, tool selection, human-in-the-loop checkpoints, and agent collaboration patterns — the design layer that sits between a prompt and a production system.
Each module ends with a working agent artifact reviewed against enterprise design standards.
Agents coordinate sensor data triage, parts lookup, and technician scheduling with human sign-off on high-cost repairs.
Orchestrator agent routes tasks between research, citation-checking, and compliance-review sub-agents.
Specialist agents handle billing, technical, and retention flows with escalation to human agents on low confidence.
Indicative ranges based on current enterprise AI hiring patterns — actual compensation varies by experience, company, and geography.
| Role | India (Annual) | Global (Annual) |
|---|---|---|
| Agentic AI Designer / Architect | ₹22L – ₹65L | $140K – $260K |
| Senior Agentic AI Designer | ₹45L – ₹1.1Cr+ | $220K – $400K |
| Multi-Agent Systems Engineer | ₹18L – ₹55L | $130K – $230K |
Demand is concentrated in AI-native product companies, GenAI consulting practices, and enterprise innovation labs building internal copilots.
Working familiarity with Python and REST APIs is expected. This program focuses on design and architecture decisions rather than teaching programming from scratch.
Foundations teaches you to build your first agent. Agentic AI Designer teaches you to architect multi-agent systems for real enterprise constraints — reliability, cost, governance, and UX.
Yes — this program is a strong on-ramp into the FDE track, and graduates receive priority consideration in FDE admissions.
Get the full syllabus and sample capstone architectures.