AI ML Engineering Lead - Vice President - AI for Payments

What you'll do

• Lead architecture and end-to-end delivery of AI/ML solutions, partnering with stakeholders to set success metrics and roadmaps.
• Deploy and operate AI/ML services and data pipelines on AWS; establish MLOps, governance, monitoring, and responsible AI practices.
• Set engineering standards, mentor engineers, and lead code and design reviews.

What they ask for

• Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• 6 years of professional software engineering experience delivering production systems.
• 4 years of advanced Python development in production environments, including AI-assisted coding tools; 4 years designing and deploying production machine learning systems on AWS.
• Experience delivering AI/ML solutions at scale, building LLM applications, and production NLP, computer vision, OCR, or document AI solutions.

Nice to have

• Experience in wholesale payments, transaction banking, or financial services.
• Experience with model risk management, Kubernetes, infrastructure-as-code, or real-time/streaming inference.

Pay

USD 171,000.00-$260,000.00 base salary

Tools

Python, Amazon Web Services (AWS), SageMaker, Lambda, ECS/EKS, S3, GitHub Copilot, Claude Code

AI focus

Builds and deploys production AI/ML systems, including LLM applications with retrieval-augmented generation and fine-tuning, NLP, OCR, document AI, and workflow automation.