Director, Full-Stack Engineer

We’re seeking a future team member for the role of Director, Fullsack Engineer to join our Engineering Hub team. This role is located in Pune.

In this role, you’ll make an impact in the following ways:

Lead the design and delivery of scalable, high-performance full-stack solutions for our AI Hub platform serving global business units

Spearhead the development and integration of AI/ML capabilities into core business workflows across the enterprise, driving automation and intelligent decision-making

Provide strategic technical consulting to IT leadership and senior stakeholders across geographies, ensuring alignment with enterprise architecture standards and compliance requirements

Architect and implement cloud-native AI solutions leveraging modern frameworks, microservices, and containerization technologies

Develop and champion best practices for writing clean, testable, and efficient code across frontend and backend systems

Drive automation initiatives including CI/CD pipelines, test automation, and infrastructure-as-code for AI/ML workloads

Establish robust code quality standards through comprehensive reviews, static analysis, and performance optimization

Ensure adherence to security principles, data protection regulations, and industry compliance standards (SOX, regulatory reporting, AI governance)

Build, mentor, and grow a high-performing engineering team, fostering a culture of continuous learning and innovation in AI technologies

Collaborate with global teams across US, EMEA, and APAC time zones to deliver integrated AI solutions

Own the AI modernization roadmap for the AI Hub platform while ensuring zero disruption to client delivery commitments

Balance innovation with operational stability—enabling AI-driven efficiencies without compromising production SLAs

Partner with product managers and business stakeholders to translate complex requirements into scalable technical solutions

Drive platform scalability and resilience to support future growth and evolving AI/ML needs across the enterprise

To be successful in this role, we’re seeking the following:

15 + years of experience in leadership, technology & talent strategy with a track record of improving delivery performance and operational maturity at scale.

Ability to work in a complex and matrix global organizational structure working with non-linear leadership roles and work both with control and influence

Exceptional global stakeholder management and influence skills; ability to align senior leaders and technical teams across functions and geographies.

Understanding of modern software engineering, agile ways of working, platform operating models and pragmatic governance in regulated environments.

Proven expertise in execution metrics and analytics; ability to translate data into insights, decisions, and sustained improvements.

Significant experience designing and operating vendor engagement models, governance, commercial discipline, and outcome-based delivery (pods/product teams).

Bachelor’s degree in Computer Science, Engineering, or equivalent