Engineering Manager AI
Core
Manage AI engineering teams building agent-based AI services and conversational/voice AI systems that integrate with digital products.
Role type
Engineering Manager, Applied AI
Builds
Agent-based AI services via APIs and voice/conversational AI experiences
Domain
Digital Transformation, Insurance, Banking, Healthcare, Retail, Manufacturing
Deliverable
production ML models
Required skills
People management, Hiring, Performance management, Technical literacy in LLM agents, Voice/NLP system design, Kubernetes production deployment, Embedded-specialist delivery models, Structured hiring at scale, Formal performance management, AI governance compliance
Preferred skills
Distributed team leadership, Voice/conversational AI at production scale, AI governance frameworks, Regulated industry experience
Technologies
LLMs, Kubernetes, NLU/NLP, Speech pipelines
Responsibilities
Manage and grow AI teams (hiring, onboarding, performance, development), Balance engineering capacity across agent and voice capabilities, Coach technical leads on AI stack, Work with AI governance on compliance, Coordinate AI service rollouts, Balance AI roadmaps, Coordinate with backend/frontend leadership, Run hiring processes and design interview rubrics
Seniority
Senior, hands-on IC (People Management)
