Job Description

Qatar
Information Technology (IT)
Group Functions

Job Reference #

327972BR

City

Doha

Job Type

Full Time

Your role

Are you an analytic thinker? Do you enjoy creating valuable insights with data? Do you want to play a key role in transforming our firm into an agile and digital organization?




At UBS, we re-imagine the way we work, the way we connect with each other - our colleagues, clients and partners - and the way we deliver value.



As an AI Business Engineer, you will help design, develop, and deploy AI solutions that enhance operational efficiency, improve user experience, and drive innovation. This role involves close collaboration with cross-functional teams to ensure seamless AI implementation and maintenance.



We're looking for an AI Business Engineer to:



work with the crew to AI solution design and development to address business challenges. collaborate with software engineers, and domain experts to identify and clarify use cases suitable for AI. transform data into valuable insights that inform business decisions, making use of our internal.

data platforms and applying appropriate analytical techniques.

partner with the crew to develop, train, and apply machine-learning models to make better predictions, automate.

manual processes, and solve challenging business problems.

ensure the quality, security, reliability, and compliance of our solutions by applying our digital.

principles and implementing both functional and non-functional requirements.

understand, represent, and advocate for client needs.

Your team

In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You'll be working in the AI Transformation crew in Qatar focusing on driving the adoption of artificial intelligence across the bank to enhance efficiency, decision-making, and customer experiences.

Your expertise

working in agile environments with understanding of agile delivery frameworks and DevOps environments. background in data science, machine learning engineering, or applied research is a significant plus. understanding and ability to apply AI engineering techniques. ability to break down complex problems, analyze data, and develop innovative solutions. flexibility to learn new technologies, frameworks, and methodologies as the field evolves. strong communicator, from making presentations to technical writing. willingness to experiment and think outside the box to push boundaries in 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.

How we hire

We may request you to complete one or more assessments during the application process. Learn more

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.

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.