- Bengaluru, Karnataka, India
- On-site
- Manager
- 10–14 years
Client‑embedded builder‑advisor converting high‑value enterprise AI opportunities into secure, reliable and production‑ready agentic systems.
Responsibilities
- Diagnose and prioritize workflows where agentic AI can materially improve cost‑to‑serve, cycle time, throughput, revenue leakage or total cost of ownership
- Partner with CEOs, COOs, CDOs, CTOs, CISOs, CFOs and business leaders to shape the value case, delivery scope, adoption model and measurable outcomes
- Build working 0→1 prototypes rapidly and convert validated concepts into production systems rather than presentation‑only deliverables
- Design and implement multi‑agent architectures, including planner–executor patterns, agent handoffs, durable state, checkpointing, retries, cancellation and human‑in‑the‑loop escalation
- Implement Model Context Protocol (MCP), agent‑to‑agent interoperability, model routing, fallback and hybrid pipelines across LLMs, SLMs and traditional ML components
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or another quantitative discipline
- BE/BTech/MTech/MCA or equivalent qualifications
- Nice to have: Knowledge graph
- Nice to have: ontology
- Nice to have: semantic‑layer experience using Neo4j