Director of AI/ML Platforms

Global Payments Inc. • Cincinnati, OH

3d • Hybrid

About The Position

The Director of AI/ML Platforms will 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 outcomes. The role leads delivery and reliable operation of a broad AI platform portfolio, including AI gateway capabilities, foundation model access, Databricks AI services, development workbenches, MLflow model lifecycle capabilities, MLOps and LLMOps, evaluation, observability, synthetic data, and agentic AI infrastructure.

The Director will operate AI platform capabilities as internal products, with clear service offerings, secure self-service journeys, architecture and engineering standards, service-level objectives, support models, adoption measures, showback or chargeback transparency, and continuous improvement practices. The role embeds security, model governance, responsible AI, privacy, risk, legal, compliance, and audit requirements into development, deployment, evaluation, and monitoring workflows.

The Director will build and lead a high-performing organization of AI platform engineers, MLOps engineers, technical product leaders, and partner resources. Responsibilities include managing delivery commitments, vendor relationships, budgets, talent development, and executive stakeholder communications. The position is hybrid, requiring three days per week in the Alpharetta, Georgia, or Cincinnati, Ohio office. It is not eligible for visa sponsorship; candidates must be U.S. citizens or valid Green Card holders.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 10+ years of progressive experience in software engineering, cloud platforms, data platforms, AI/ML platforms, MLOps, or related technology disciplines.
• 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, including 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.
• Strong executive communication, financial and vendor management, and stakeholder influence.
• Must be a U.S. citizen or valid Green Card holder; visa sponsorship is not available.
• Must work hybrid three days per week at the Alpharetta, Georgia, or Cincinnati, Ohio office.

Nice To Haves

• Experience in payments, fintech, banking, or another highly regulated financial services environment, including support for model risk management, regulatory reviews, or audits.
• Experience with 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 certifications in cloud architecture, AI engineering, machine learning, platform engineering, or security.
• Experience building an AI platform adoption program or center of enablement.

Responsibilities

• 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, providing 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.
• Embed security, model governance, responsible AI, privacy, risk, legal, compliance, and audit requirements into development, deployment, evaluation, and monitoring workflows through automated controls.
• 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.
• Simplify platform journeys for data scientists, AI engineers, application teams, governance partners, and business stakeholders without compromising enterprise controls.
• Take accountability for platform outcomes, reliability, cost, risk, and adoption; make clear decisions and improve the platform using data and feedback.
• Build strong connections across Data, AI, Engineering, Security, Architecture, Risk, Legal, Compliance, Infrastructure, and business teams to deliver shared outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Director