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Engineering Manager, AI

Added

3 days ago

Location

Type

Full time

Salary

Salary not provided

Related skills

cloud saas kubernetes distributed systems ai governance

📋 Description

Build, mentor, and lead a team of 15–30 engineers and tech leads.
Drive engineering excellence: reviews, code quality, and operational rigor.
Establish growth plans, coaching frameworks, and performance reviews.
Lead AI governance, security, and enterprise SaaS delivery.
Define technical roadmap for scalable, multi-tenant cloud systems.
Ensure platform reliability, security, and observability.

🎯 Requirements

12+ years software engineering; 4+ years leading teams.
BS/MS in CS, Engineering, AI, or related field.
Enterprise SaaS with cloud-native architectures.
Deep expertise in Generative AI, LLMs, AI agents.
Hands-on AI platforms, APIs, and enterprise workflows.
Kubernetes, microservices, containers, event-driven design.

🎁 Benefits

Great Place to Work certified in India.
Work on AI governance and security platforms.
Collaborative, cross-location teams across India and beyond.
Equal opportunity employer.

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