AM Technology AI CoE Lead

Full time Data Science Artificial Intelligence Software Engineering Data Warehouse

Job Description

 
Are you a passionate leader in the field of Artificial Intelligence? Are you keen to deliver business value with cutting edge AI solutions?
What you’ll be doing
You will be working in Asset Management CTO organization to create Northstar vision for Standardizing AM AI adoption and practices. You will be leading an exert CoE team in the field of AI to accelerate the AI adoption journey for AM. This will be based on 5 pillars that you will pioneer - Strengthen the Foundation, Value Led AI Use Cases, Scaling AI with Factory, Talent Transformation and Be Responsible By Design. The objectives you will achieve are
  • accelerating innovation and scaling cutting-edge Generative AI (Gen AI) solutions
  • deepening AI integration across various aspects of the bank's operations
  • prioritizing a customer-centric approach by leveraging AI to enhance customer experiences

Your team

You’ll work as part of the AM CTO function who focus on the Asset Management technology enablement and governance, standardization, consultations and collaboration. We are spread across Switzerland, UK and India with architects aligned to AM Streams and Cloud Adoption. You’ll be joining us in Asset Management Technology, a wider, truly diverse and global team of around 1,000 people in all corners of the globe. Our goal in Asset Management Technology is to drive sustainable investments and empower our teams. We are innovative, client focused and imaginative. We’re committed to fostering a culture where our individuals thrive, and our platforms are data-driven, scalable, and aligned with business objectives. We take genuine pleasure in what we do, we’re proud of our deliverables, and enjoy collaborating within an exceptional team.
If you’re excited by this role, but your past experience doesn’t match exactly, we’d still love to hear from you, you might be just the person we’re looking for.

Your expertise

  • establish core principles and infrastructure for a responsible and secure AI platform including:
o defining ethical guidelines for AI development and deployment
o implementing robust security measures to safeguard data and systems
o establishing clear governance structures for AI decision-making
  • experience with LLMs especially Open AI GPT models, Machine learning and data analytics
  • it will be desirable to have experience in the field of Asset Management
  • it will be advantageous to have knowledge on Azure technologies like, Azure Storage, AKS, Azure SQL, Azure Postgres etc.
It is likely that you are educated to an equivalent level of bachelor's or master's degree focusing on a technical subject such as computer science or engineering with a IT experience of 18 years with minimum 5 years with AI.

About us

UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..
We have a presence in all major financial centers in more than 50 countries.

Join us

At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.
From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

Contact Details

UBS Business Solutions SA
UBS Recruiting

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.