Director of AI/ML Platforms

Make your mark at one of the biggest names in payments. We’re looking for a Director of AI/ML Platforms to join our ever-evolving Data & AI Platforms team and help shape the future of global commerce

What you’ll own

• Execute the enterprise AI/ML platform strategy and multi-year roadmap, translating priorities established by the Head of Data & AI Platforms into funded, sequenced, measurable platform outcomes.
• Lead delivery and reliable operation of the AI platform portfolio, including the AI gateway, foundation model access, Databricks AI services, development workbenches, MLflow model lifecycle capabilities, MLOps and LLMOps, evaluation, observability, synthetic data, and agentic AI infrastructure.
• Run AI platform capabilities as internal products with clear service offerings, secure self-service journeys, architecture and engineering standards, SLAs and SLOs, support models, adoption measures, showback or chargeback transparency, and continuous improvement practices.
• Operationalize security, model governance, responsible AI, privacy, risk, legal, compliance, and audit requirements through automated controls embedded in development, deployment, evaluation, and monitoring workflows.
• Build and lead a high-performing organization of AI platform engineers, MLOps engineers, technical product leaders, and partner resources; manage delivery commitments, vendor relationships, budgets, talent development, and executive stakeholder communications., * Think like a client: Start with the needs of data scientists, AI engineers, application teams, governance partners, and business stakeholders; simplify their journeys without compromising enterprise controls.
• Act like an owner: Take accountability for platform outcomes, reliability, cost, risk, and adoption; make clear decisions and improve the platform through data and feedback.
• Win as one team: Create strong connections across Data, AI, Engineering, Security, Architecture, Risk, Legal, Compliance, Infrastructure, and business teams; bring clarity and deliver shared outcomes.

About the team

Our inclusive and global teams win together every day. We are proud to have some of the best minds in the industry, with opportunities to learn, grow, and work across borders. The Data & AI Platforms organization provides reusable enterprise capabilities that help product and technology teams turn trusted data and AI into measurable business outcomes.

This position is not eligible for visa sponsorship, now or in the future. Candidates must be a US Citizen or valid Green Card Holder., * Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field with 10+ years of progressive experience in software engineering, cloud platforms, data platforms, AI/ML platforms, MLOps, or related technology disciplines, including 3+ years leading managers or senior engineering teams in a complex enterprise.

• Proven delivery and operational experience with enterprise AI/ML platforms supporting predictive machine learning and generative AI, including model development, deployment, serving, registry, evaluation, monitoring, and lifecycle governance.
• Deep technical judgment across Databricks, MLflow, cloud-native AI services, Kubernetes and containers, APIs, CI/CD, infrastructure automation, distributed systems, and secure model access patterns such as an enterprise AI gateway.
• Experience implementing LLMOps and model operations controls such as model and prompt versioning, evaluation gates, observability, drift and quality monitoring, resiliency, access controls, audit trails, and consumption or cost management.
• Demonstrated ability to lead platform products and teams in a regulated, matrixed environment, with strong executive communication, financial and vendor management, stakeholder influence

It’s a bonus if you have

• Experience in payments, fintech, banking, or another highly regulated financial services environment, including support for model risk management, regulatory reviews, or audits.
• Experience with technologies such as Amazon SageMaker, Google Vertex AI, LiteLLM, Kubeflow, Fiddler, LangChain, LangGraph, OpenAI, Anthropic, Google Gemini, Tonic.ai, feature stores, retrieval-augmented generation, or AI agent orchestration.
• An advanced technical degree or relevant certification(s) in cloud architecture, AI engineering, machine learning, platform engineering, or security, plus experience building an AI platform adoption program or center of enablement.

Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative - always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.