Director, Principal Engineer - Applied AI

Barclays · Pune, Gera Commerzone SEZ · India

Lead AI/ML innovation as Director, Principal Engineer in Pune, driving scalable solutions and mentoring engineering teams. Shape AI strategy and architect production‑grade LLM systems for banking & finance.

Job Description

Purpose of the role

To drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives. 

Accountabilities

Director Expectations

All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Overview:

Are you looking to redefine customer experience by bending the curve of innovation in one of the most coveted domains, Banking & Financial Services Industry? Join our innovative team to build and deliver elevated customer experiences and streamline business operations with cutting-edge AI-driven solutions.

As a Principal Engineer of Advanced Technologies, you will collaborate with multiple high stakeholders, senior leaders, talented engineers, and scientists, leveraging your deep expertise to shape AI/ML strategy on complex technical projects. You will serve as the deep technical expert and hands-on architect responsible for defining technology roadmaps, best practices, and standards that equip LLMs with domain-specific knowledge and execution capabilities.

Key Responsibilities:

Required Qualifications:

Preferred Qualifications:

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