Head of AI Engineering, Commercial in London

FIS processes trillions of dollars in transactions annually for some of the world’s largest banks and financial institutions. That scale generates data assets that almost no other company on earth can match—and we’re just beginning to unlock them with AI. We’re hiring a Head of AI Engineering, Commercial to lead a high-autonomy tiger team of Data Scientists and ML Engineers in London. You will architect and ship production AI systems—from intelligent agents to predictive analytics—that directly reshape how our global commercial organization sells, prices, and serves clients. This is not an advisory role. You will own the roadmap, build the team, and deliver.

What you will be doing:

• Own the AI/ML roadmap for FIS’s global commercial organization—translating strategic priorities into a sequenced delivery plan with measurable outcomes.
• Design, build, and deploy AI Agents at enterprise scale: automated lead‑generation agents, intelligent pricing systems, deal‑scoring models, and next‑generation agentic workflows.
• Develop advanced ML models and agentic systems addressing predictive analytics, optimization, personalization, and intelligent automation across fintech use cases.
• Architect the integration layer for how ~1,500 commercial team members interact with AI—including model governance, tooling, infrastructure, and MLOps frameworks.
• Lead and grow a high‑calibre team of Data Scientists, fostering a culture of rapid experimentation, technical excellence, and continuous learning.
• Drive innovation in Generative AI, Agentic AI, deep learning, and large‑scale ML deployment—staying ahead of the curve on foundational models, LLMs, and autonomous agents.
• Champion MLOps best practices, cloud‑native development (Azure preferred), and scalable production deployment pipelines.
• Collaborate cross‑functionally with Sales, Product, Engineering, and more to embed AI capabilities into workflows, products, and commercial strategies.
• Present AI program outcomes, strategic recommendations, and technical guidance to senior leadership and C‑suite audiences.

What Sets You Apart:

• 8+ years in AI/ML engineering, applied machine learning, or advanced analytics—with a track record of taking models from prototype to production in large, complex environments.
• Deep expertise in ML algorithms, neural networks, large‑scale architectures, and modern frameworks.
• Hands‑on experience with Generative AI, Agentic AI, LLMs, foundation models, and large‑scale inference.
• Proficiency in Python and SQL. Experience building production‑grade ML systems. Familiarity with Azure or another major cloud platform and MLOps pipelines.
• Demonstrated ability to lead through influence across engineering, product, data platform, and business stakeholders—not just within your own team.
• You think in terms of user outcomes and business impact, not just model accuracy.
• Comfort operating without a perfect spec. You run fast discovery cycles, ship MVPs, learn, and iterate—especially in organizations where AI maturity is still evolving.
• Ability to simplify complex technical concepts for business audiences and present confidently to senior leadership.

What we offer you:

• A rare opportunity to shape enterprise AI at one of the world’s most influential fintech companies.
• Direct access to massive, proprietary financial services datasets.
• Hybrid flexibility with a high‑trust, output‑driven culture.
• Competitive total compensation package.
• Inclusive, diverse team environment with professional and personal development support.