Engineering Manager - Artificial Intelligence

About the Company :

We are hiring for a US-based Global IT major for Bangaluru location.

About the Role :

Role : Contract 6 months.

Work from Office Monday to Friday.

Shift : Full-Time (2 PM to 11 PM).

Responsibilities :

- Lead the AI Center of Excellence, driving the development of scalable and enterprise-grade AI solutions.

- Take on a player-coach role, balancing hands-on technical work with team leadership responsibilities.

- Own end-to-end delivery, including planning, execution, and production deployment.

- Guide architecture decisions to ensure systems are scalable, secure, and maintainable.

- Actively participate in code reviews, debugging, and technical problem-solving.

- Build and grow engineering teams through hiring, onboarding, mentoring, and performance management.

- Collaborate with product and agile teams to translate business requirements into actionable delivery plans.

- Ensure disciplined execution with clear ownership, prioritisation, and timely delivery.

- Establish and enforce engineering standards across coding, testing, CI/CD, and release processes.

- Enhance developer productivity through automation, tooling, and DevOps best practices.

- Drive production readiness, including monitoring, incident management, and post-release stability.

- Promote reusability and consistency through shared frameworks and architecture patterns.

- Work with modern AI technologies such as LLMs, RAG, and cloud-based AI platforms.

- Ensure compliance with enterprise standards around security, governance, and data protection.

- Continuously improve engineering processes, delivery efficiency, and system reliability.

Qualifications :

- 12+ years in software engineering, including 4+ years in engineering management with people management responsibilities.

- Strong technical foundation with the ability to review code, debug issues, and guide architecture decisions (hands-on leadership).

- Proven experience leading teams delivering production software (APIs/services, integrations, and/or UI).

- Demonstrated ability to hire, onboard, coach, and grow engineering talent.

- Strong engineering quality mindset: code reviews, testing, CI/CD gates, and operational readiness.