Forward-Deployed AI Engineer

United States - New York

Sales

Investment Bank

Job Reference #

345262BR

City

New York

Job Type

Full Time

Key responsibilities

Turn front-office problems into governed, production-grade AI solutions that transform sales workflows.

You will own the journey from discovery through implementation: understand how work actually happens, identify where AI can materially improve it, rapidly put solutions in front of users, and partner with senior Global Markets quants and technology teams on governance, productionisation and scale.

This is a role for someone who likes interpreting and doing, not consulting and enabling from the sidelines.

What you will do

• Embed with Distribution desks. Understand how work actually happens, map workflows end to end, identify friction and waste, and prioritise opportunities against the seven pillars of the Global Markets Sales strategy.
• Build quickly. Use the bank's existing AI and low-code capabilities to automate workflows and get useful solutions in front of users in days rather than months. The objective is not to build bespoke software where an existing tool can solve the problem.
• Redesign before you automate. Challenge unnecessary steps, hand-offs and duplication rather than simply using AI to automate an inefficient process.
• Own the dependencies. Identify the APIs, data and entitlements required for your solutions, specify what is needed clearly, and drive those requirements through to delivery.
• Design for compliant AI. Understand the architectural and governance considerations around AI systems and ensure solutions operate within the bank's AI, data, risk and control frameworks.
• Unlock the right data. Recommend how each desk should organise and access its information to enable AI use cases while adhering to the bank's need-to-know framework.
• Know what not to build. Solve problems directly where the available tools allow it. Where a requirement genuinely needs strategic engineering, route it to Quant or Technology with a well-defined problem statement, requirements and expected business outcome.
• Drive adoption, not just delivery. Train users, observe how solutions perform in real workflows, iterate quickly, spread successful patterns across desks, and make sure what you build is still being used a month later.
• Scale what works. Spot recurring problems across products, regions and desks and turn successful local solutions into reusable capabilities.

Your expertise

You bring:

• Financial markets exposure. At least two years of financial-services experience, ideally within Global Markets sales, trading or a closely related front-office environment.
• Real curiosity about AI. You actively use today's AI tools and have a practical understanding of where they are powerful, where they fail, and where human judgement still matters.
• Hands-on building ability. Experience with AI and low-code tooling such as Cowork, Copilot Studio or similar platforms, plus the appetite to master the next tool just as quickly.
• A process engineer's mindset. You can take a workflow apart, identify its constraints and inefficiencies, and redesign it rather than simply automating the existing mess.
• Strong communication skills. You can earn the trust of busy front-office professionals, ask incisive questions and explain technology without hiding behind jargon.
• Exceptional learning velocity. A new desk, asset class, dataset or tool should take you days to begin understanding, not months.
• Technical fluency. You are comfortable working with data, understanding system interactions, scoping an API and building a working prototype. Deep software-engineering experience is welcome, but it is not the purpose of the role.
• Commercial judgement. You can distinguish an interesting problem from a valuable one, prioritise ruthlessly, and say no or redirect work when that is the right answer.

You are

• Practical, focused and biased toward action.
• Comfortable operating on a busy trading floor and communicating with people at every level.
• Curious about how the business works, not simply about the technology.
• A fast learner who is comfortable with ambiguity and incomplete information.
• Able to work independently while thriving in a highly collaborative environment.
• Comfortable balancing speed and innovation with the governance standards of a regulated institution.
• Motivated by seeing something you built change how people actually work.

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

The team

This role sits at the intersection of Global Markets Distribution, Quantitative Engineering and regional Sales, with connectivity to the senior leaders responsible for each.

It is an embedded, front-office role. Success is measured not by recommendations or prototypes alone, but by whether better ways of working make it into the hands of users and stay there.

Your skills and experience

Your expertise

You bring:

• Financial markets exposure. At least two years of financial-services experience, ideally within Global Markets sales, trading or a closely related front-office environment.
• Real curiosity about AI. You actively use today's AI tools and have a practical understanding of where they are powerful, where they fail, and where human judgement still matters.
• Hands-on building ability. Experience with AI and low-code tooling such as Cowork, Copilot Studio or similar platforms, plus the appetite to master the next tool just as quickly.
• A process engineer's mindset. You can take a workflow apart, identify its constraints and inefficiencies, and redesign it rather than simply automating the existing mess.
• Strong communication skills. You can earn the trust of busy front-office professionals, ask incisive questions and explain technology without hiding behind jargon.
• Exceptional learning velocity. A new desk, asset class, dataset or tool should take you days to begin understanding, not months.
• Technical fluency. You are comfortable working with data, understanding system interactions, scoping an API and building a working prototype. Deep software-engineering experience is welcome, but it is not the purpose of the role.
• Commercial judgement. You can distinguish an interesting problem from a valuable one, prioritise ruthlessly, and say no or redirect work when that is the right answer.

You are

• Practical, focused and biased toward action.
• Comfortable operating on a busy trading floor and communicating with people at every level.
• Curious about how the business works, not simply about the technology.
• A fast learner who is comfortable with ambiguity and incomplete information.
• Able to work independently while thriving in a highly collaborative environment.
• Comfortable balancing speed and innovation with the governance standards of a regulated institution.
• Motivated by seeing something you built change how people actually work.

You will know you are succeeding when:

1. Front-office users come to you with problems, not specifications.

2. Useful solutions reach users in days or weeks, not quarters.

3. You eliminate work rather than simply making existing steps faster.

4. The things you build are actually adopted and remain in use.

5. Successful solutions spread from one desk to another.

6. Strategic engineering teams receive better-defined problems because of your work.

7. AI becomes part of how Distribution operates, rather than a separate technology initiative.

8. You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.

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.

Salary information

The indicative gross base salary range as a full-time equivalent role:

• United States - New York - New York min USD 115000 - max USD 137500 /annum

The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.

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.

Forward-Deployed AI Engineer | UBS - Experienced professionals - job boards

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