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Chapter Lead for Agentic AI in IB Digital Operations

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Job Description

Your role

Do you want to lead and inspire a team of talented engineers to build next-generation AI-driven business applications Are you passionate about driving innovation and delivering impactful solutions in a fast-paced environment Do you thrive on mentoring and growing technical talent while ensuring high-quality delivery

We're looking for a Chapter Lead to:

Lead and manage a team of engineers within the Agentic AI Pod, fostering a culture of collaboration, innovation, and continuous learning.

Provide technology solutions that solve complex business problems and strengthen our position as digital leaders in financial services.

Collaborate with Product Owners, Business Analysts, and other stakeholders to define and refine requirements, ensuring alignment with business goals.

Oversee the design, development, and delivery of sustainable AI-driven solutions using modern programming languages and frameworks.

Ensure adherence to UBS's SDLC standards, including code reviews, testing, and operational controls for production readiness.

Act as a technical mentor, guiding the team in best practices for software development, architecture, and AI/ML integration.

Drive the adoption of cutting-edge technologies and methodologies to enhance the team's capabilities and deliver measurable business value.

Job Type

Full Time

Job Reference #

325824BR

City

Hyderabad

Your team

You'll be working in the Agentic AI Pod, part of the IB Digital Operations Stream, based in Hyderabad. Our team focuses on leveraging AI and advanced analytics to transform operational processes and deliver exceptional client experiences. As a Chapter Lead, you'll play a pivotal role in shaping the future of AI-driven solutions at UBS, while fostering a collaborative and innovative team culture.

Your expertise

Proven experience as a software engineer or developer, with a focus on AI/ML solutions within the finance sector.

Strong programming skills in Python, Java, or other relevant languages, with experience in Agentic AI frameworks (e.g., Langchain, LangGraph).

Demonstrated ability to lead and mentor technical teams, fostering growth and collaboration.

Expertise in applying SDLC standards, including secure coding practices, code reviews, and operational readiness.

Experience in designing and delivering scalable, enterprise-grade solutions in a large-scale environment.

Familiarity with cloud platforms (Azure) and DevOps practices is a plus.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

About Us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.

We know that great work is never done alone. That's why we place collaboration at the heart of everything we do. Because together, we're more than ourselves. Want to find out more Visit ubs.com/careers.

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We're dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That's why collaboration is at the heart of everything we do. Because together, we're more than ourselves.

We're committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

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Job ID: 136449397