Role Overview :

We are looking for an Engineering Manager for one of our clients with strong AI/ML exposure and hands-on experience in AI based software delivery. This individual will lead high-impact engineering initiatives, work closely with onshore stakeholders, and drive delivery excellence across offshore teams.

The ideal candidate is a hands-on technical leader, an effective communicator, and a proactive, go-getter personality who takes ownership, drives clarity, and delivers results in a rapid-paced environment.

Key Responsibilities :

- Lead and manage cross-functional engineering teams delivering AI-enabled and data-driven solutions.
- Act as a bridge between onshore business/technology stakeholders and offshore delivery teams, ensuring alignment, transparency, and execution.
- Provide technical leadership in areas such as AI/ML solutions, automation, cloud-native architectures, APIs, and modern SDLC practices.
- Lead end-to-end AI based software delivery, covering design, development, integration, deployment, and ongoing optimization of AI-enabled solutions.
- Own delivery outcomes including planning, execution, risk management, quality, and timelines.
- Translate business requirements into clear technical designs and execution plans.
- Review architecture, code quality, and engineering best practices; ensure scalable and maintainable solutions.
- Drive adoption of AI capabilities (e.g., ML models, GenAI, intelligent automation)



in engineering solutions where applicable.
- Proactively identify risks, dependencies, and bottlenecks; escalate with solutions, not just problems.
- Mentor and grow engineers and leads; foster a high-ownership, high-performance culture.
- Collaborate with Product, Architecture, QA, and DevOps teams to ensure end-to-end delivery.

Leadership & Behavioural Expectations :

- Highly proactive and execution-driven; takes ownership and pushes work forward without waiting for direction.
- Comfortable challenging status quo constructively and driving decisions.
- Strong stakeholder management skills, including senior leadership.
- Collaborative, transparent, and solution-oriented.

Basic Qualifications :

- 12 years of overall engineering experience, with at least 2 years in an Engineering Manager / Technical Manager role.
- Strong hands-on background in software engineering, with exposure to Python, AI/ML, or data engineering.
- Experience working in a global onshore - offshore delivery model.
- Solid understanding of Python, AI/ML concepts, cloud platforms (AWS/Azure), and modern application architectures.
- Excellent communication skills able to clearly articulate technical and delivery topics to business and leadership audiences.
- Robust execution mindset with the ability to drive outcomes independently.
- Proven experience handling ambiguity, competing priorities, and fast-moving programs.

📌 Engineering Manager - AI/ML (India)
🏢 Tidyhire
📍 India