Role Overview:

We are looking for a Technical 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 fast-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 8 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.

- Strong execution mindset with the ability to drive outcomes independently.

- Proven experience handling ambiguity, competing priorities, and fast-moving programs.

Preferred Qualifications:

- Experience delivering AI/ML or GenAI solutions in enterprise environments.

- Exposure to regulated or large-scale enterprise systems.

- Experience with Agile / Scrum at scale.

- Healthcare domain exposure is an add-on.