is responsible for providing strategic and operational leadership across both the Engineering and ACES functions. The role oversees end-to-end engineering delivery and product group management, ensuring seamless collaboration between Engineering and ACES to deliver high-quality, customer-centric solutions aligned with business objectives.
This role is accountable not only for delivery, quality, and customer outcomes, but also for driving measurable improvements in productivity, speed, and operational excellence through AI-enabled practices across both Engineering and ACES. Success in this role requires translating AI capabilities into practical, scalable workflows that deliver tangible business value, moving beyond isolated experiments or proof-of-concepts to organization-wide adoption.
Location:
Calicut
Reporting To:
COO
Job Level: M3
Team Scope
- Direct reports: Engineering Managers / Engineering Leads / Tech Leads (6–8)/ACES leads
- Total org ownership:
Engineering teams (50–60 engineers)
Key Responsibilities:
1. Engineering Strategy & AI-Led Transformation
- Define and execute an engineering strategy that embeds AI into daily engineering workflows.
- Identify high-impact opportunities for AI adoption across:
- Code generation and refactoring
- Test case creation and maintenance
- Test automation acceleration
- Defect analysis and root-cause identification
- Release validation and regression reduction
- Ensure AI adoption directly supports delivery speed, quality, and predictability.
2. Delivery, Execution & Productivity Outcomes
- Own delivery commitments across multiple engineering teams.
- Use AI-driven tooling and practices to:
Reduce cycle time and rework
Improve sprint predictability
Increase engineer productivity without increasing burnout
- Establish and track engineering and AI adoption metrics, such as: