Director of AI/ML Platforms

Location: Hybrid, three days per week in Alpharetta, Georgia or Cincinnati, Ohio. Candidates must be US citizens or valid Green Card holders; the position is not eligible for visa sponsorship.

Company

hirify.global provides payment and commerce technology through global Data & AI Platforms capabilities.

What you will do

• Execute the enterprise AI/ML platform strategy and multi-year roadmap, translating priorities into funded, sequenced, measurable outcomes.
• Lead delivery and reliable operation of AI platform capabilities, including the AI gateway, foundation model access, Databricks AI services, development workbenches, MLflow, MLOps, LLMOps, evaluation, observability, synthetic data, and agentic AI infrastructure.
• Run AI platform capabilities as internal products with service offerings, secure self-service journeys, engineering standards, SLAs/SLOs, support models, adoption measures, cost transparency, and continuous improvement.
• Embed security, model governance, responsible AI, privacy, risk, legal, compliance, and audit controls into development, deployment, evaluation, and monitoring workflows.
• Build and lead teams of AI platform engineers, MLOps engineers, technical product leaders, and partner resources while managing delivery, vendors, budgets, talent development, and executive communications.

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, 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, including model and prompt versioning, evaluation gates, observability, drift and quality monitoring, resiliency, access controls, audit trails, and consumption or cost management.
• Ability to lead platform products and teams in a regulated, matrixed environment, with strong executive communication, financial and vendor management, and stakeholder influence.
• US citizenship or a valid Green Card is required; visa sponsorship is not available now or in the future.

Nice to have

• Experience in payments, fintech, banking, or another highly regulated financial services environment, including 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 certification in cloud architecture, AI engineering, machine learning, platform engineering, or security.
• Experience building an AI platform adoption program or center of enablement.

Culture & Benefits

• Inclusive, global teams working across borders.
• Collaboration across Data, AI, Engineering, Security, Architecture, Risk, Legal, Compliance, Infrastructure, and business teams.
• Emphasis on client-focused decisions, ownership of platform outcomes, innovation, reliability, cost, risk, and adoption.
• Opportunities to learn, grow, and contribute to measurable business outcomes.