Forward-Deployed AI Engineer

UBS • New York, NY

20h • $145,000 - $172,500

About The Position

This embedded, front-office role sits at the intersection of Global Markets Distribution, Quantitative Engineering and regional Sales, with connectivity to the senior leaders responsible for each. The role turns front-office problems into governed, production-grade AI solutions that transform sales workflows. It owns work from discovery through implementation: understanding how work happens, identifying where AI can improve it, quickly delivering solutions to users, and partnering with senior Global Markets quants and technology teams on governance, productionisation and scale. Success is measured by whether improved ways of working reach users and remain in use, not by recommendations or prototypes alone.

The role uses existing AI and low-code capabilities to deliver useful solutions quickly, redesigns inefficient processes before automating them, and drives required APIs, data and entitlements through to delivery. It also ensures solutions follow the bank's AI, data, risk and control frameworks; advises desks on organizing and accessing information within the need-to-know framework; and routes needs requiring strategic engineering to Quant or Technology with clearly defined requirements and business outcomes. The engineer trains users, observes solutions in real workflows, iterates, supports adoption, and scales successful patterns across desks, products and regions.

UBS describes itself as a leading global wealth manager and the leading universal bank in Switzerland, with diversified asset management solutions and focused investment banking capabilities. It is headquartered in Zurich and present in more than 50 markets. The company emphasizes collaboration, inclusion, employee support, growth opportunities and flexible working options when possible. Applications from career returners are welcome.

Requirements

• At least two years of financial-services experience; ideally in Global Markets sales, trading or a closely related front-office environment.
• Practical understanding of current AI tools, including their strengths, limitations and the continued importance of human judgment.
• Experience with AI and low-code tools such as Cowork, Copilot Studio or similar platforms, and willingness to learn new tools quickly.
• Ability to analyze workflows, identify constraints and inefficiencies, and redesign processes rather than merely automate them.
• Strong communication skills, including the ability to build trust with front-office professionals, ask incisive questions and explain technology without jargon.
• Ability to learn new desks, asset classes, datasets and tools quickly.
• Technical fluency working with data, understanding system interactions, scoping APIs and building working prototypes.
• Commercial judgment to distinguish valuable problems from merely interesting ones, prioritize, and decline or redirect work when appropriate.
• Practical, focused and action-oriented approach.
• Comfort operating on a busy trading floor and communicating with people at every level.
• Curiosity about how the business works, not only about technology.
• Ability to work with ambiguity and incomplete information and learn quickly.
• Ability to work independently and collaboratively.
• Ability to balance speed and innovation with the governance standards of a regulated institution.
• Motivation to deliver solutions that change how users work.

Nice To Haves

• Deep software-engineering experience is welcome but is not the purpose of the role.
• Experience within Global Markets sales, trading or a closely related front-office environment.

Responsibilities

• Embed with Distribution desks to understand end-to-end workflows, identify friction and waste, and prioritize opportunities against the seven pillars of the Global Markets Sales strategy.
• Use existing AI and low-code capabilities to automate workflows and deliver useful solutions to users quickly, avoiding bespoke software when existing tools are suitable.
• Redesign inefficient workflows by challenging unnecessary steps, hand-offs and duplication before automating.
• Identify required APIs, data and entitlements, specify requirements clearly, and drive them through to delivery.
• Design AI solutions to meet the bank's AI, data, risk and control governance frameworks.
• Recommend how desks should organize and access information to enable AI use cases while adhering to the bank's need-to-know framework.
• Solve problems directly with available tools, and route requirements needing strategic engineering to Quant or Technology with defined problem statements, requirements and expected business outcomes.
• Train users, observe solutions in real workflows, iterate quickly, spread successful patterns across desks, and support sustained adoption.
• Identify recurring problems across products, regions and desks and turn successful local solutions into reusable capabilities.
• Validate AI outputs and align AI use with policies, risk standards and ethical-use expectations.

Benefits

• Competitive benefits are offered; further details are available at ubs.com/employee-benefits.
• Flexible working options when possible.
• Opportunities to grow.
• Supportive team.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed