Engineering Manager, AI

About the role

We are looking for an experienced Engineering Manager, AI to guide a high-impact team building enterprise-grade AI security, governance, and agent management platforms. This role combines engineering leadership with strong technical depth in AI/ML systems, LLMs, distributed systems, cloud-native architectures, and security.

What you'll do

• Build, mentor, and manage a team of 15–30 software engineers, architects, and technical leads
• Foster a culture of innovation, ownership, accountability, continuous learning, and customer focus
• Establish career development plans, coaching frameworks, and performance processes for engineers
• Lead the design, development, and delivery of enterprise-grade AI-native SaaS platforms focused on AI governance, compliance, policy enforcement, MCP security
• Define and execute the technical roadmap for scalable, resilient, multi-tenant cloud-native systems aligned with business priorities and customer needs

What you need

• 12–22 yrs of experience
• AWS
• Microservices
• Kubernetes
• LLMs
• GCP
• Azure
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Machine learning