Staff AI Enablement Engineer

2 нед. назад

250k–350k USD / yearUSALead

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Technical role focused on accelerating AI-powered capabilities adoption across the organization within a global payment company.

О компании

At , we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.
Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like.
is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays.

Обязанности

As a Staff AI Enablement Engineer, you'll be one of the most technically influential individual contributors at — part of the special forces team bringing agentic workflows and the productivity gains they unlock to every function in the company. Your users aren't just engineers: they're teammates in finance, legal, operations, sales, and beyond, all trying to figure out how to actually work with AI. You'll design and build the internal platforms, evaluation frameworks, and tooling that make it easier and faster for any team at to adopt agentic ways of working. This is a high-autonomy, high-ownership role for an experienced engineer who loves being in the weeds on hard technical problems and then scaling their solutions across an entire organization.
Design, build, and maintain 's core AI platform — including LLM integration infrastructure, prompt management systems, evaluation pipelines, and agentic workflow tooling.
Partner with product and engineering teams across to embed AI capabilities into core products: payments, risk decisioning, fraud detection, developer tooling, and customer-facing surfaces.
Establish and own evaluation standards for AI systems — building robust testing frameworks that assess quality, safety, latency, cost, and reliability at scale.
Lead technical discovery and prototyping on high-ambiguity problems: evaluate new foundation models, agentic architectures, and toolchains; produce clear recommendations grounded in data.
Drive internal AI adoption by creating reusable libraries, patterns, documentation, and enablement resources that reduce the barrier for engineering teams to build with AI.
Collaborate with the VP of AI Enablement and cross-functional stakeholders to influence the technical roadmap and represent engineering constraints and opportunities in strategic conversations.

Требования

8+ years of software engineering experience, with at least 3 years focused on AI/ML systems, LLM infrastructure, or applied ML in production environments.
Deep hands-on experience building with LLMs and modern AI stacks — including RAG, fine-tuning, prompt engineering, function calling, and multi-step agentic workflows.
Strong software engineering fundamentals: you write clean, production-grade code and design systems that are observable, testable, and maintainable.
Experience operating at Staff+ scope — driving technical decisions that span multiple teams, mentoring other engineers, and leading by influence rather than authority.
Track record of taking AI capabilities from prototype to production in a high-reliability environment — understanding the gap between a demo and something that runs at scale.
Comfortable with ambiguity: you can scope and execute on poorly-defined problems, communicate tradeoffs clearly, and move quickly without sacrificing quality.
Applications for this role are accepted on an ongoing basis.

Условия

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only and do not include other perks and benefits.
At , you’ll have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we’re shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You'll be challenged and empowered to grow, making a real impact every step of the way.
Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At , we foster a workplace where everyone feels they belong—a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way.
We offer innovative perks and benefits packages that include:
- Flexible paid time off & generous PTO accrual plans
- Comprehensive medical, dental, vision, and other insurances
- FSA & HSA plans for medical and dependent care
- Home office set-up allowance
- Internet stipend
- Retirement plan match for 401k and RRSP
- Gender-neutral paid parental leave, and more!
(The benefits and total compensation packages outlined above are for full-time employees; some exclusions apply for temporary positions.)
At , we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.

Другое

The AI Enablement team sits at the intersection of technology, product, and people — responsible for accelerating 's capacity to build and scale AI-powered capabilities across the organization. The team partners deeply with Engineering, Product, Data, and Operations to identify high-leverage opportunities, drive adoption of AI tooling, and establish the frameworks that let move faster and smarter.