Own end-to-end delivery of multi-agent implementations for enterprise customers, serving as the incubation leader for this capability
Job Summary
Own end-to-end delivery of multi-agent implementations for enterprise customers, serving as the incubation leader for this capability.
Combine hands-on technical execution—configuring Agents, Procedures, and Custom Tools—with consultative delivery and strong stakeholder management.
Partner tightly with K:Agent Product and Engineering to surface platform gaps and influence the evolution of the Data Model (Ontology layer) and Custom Tools.
Matching Summary
Own end-to-end delivery of multi-agent implementations for enterprise customers, serving as the incubation leader for this capability.
Skills & Requirements
Must-have
AI agent implementation
LLM and agentic primitives
API & Integration Mastery
Enterprise platform integration
Technical discovery conversations
Hands-on technical execution
Nice-to-have
Forward-Deployed AI Engineer
Operations Strategy Consultant
Enablement Leader
Executive presence
Builder's mindset
Key Requirements
8-10+ years in technical, customer-facing roles
Sr. Manager/Director equivalent level experience
Experience with senior technical stakeholders
Strong technical foundation in API & Integration Mastery
Deep conceptual understanding of Agentic AI Fundamentals