Director of AI Engineering, Transformation

Mastercard; Missouri; On-site; USD 170,000 - 281,000; Full time

Benefits offered by this job

Competitive compensation

Bonus eligibility

Health, dental, vision

401(k) with match

Paid time off

Tuition reimbursement

On-site fitness facilities

Job summary

Mastercard is seeking a Director, AI Engineering in the Transformation Team, driving strategic AI initiatives across the company and enabling scalable solutions from architecture to deployment.

You will lead cross-functional teams, mentor senior engineers, and shape governance and risk management for AI/ML systems while collaborating with product, data science, and operations. The role offers competitive compensation and comprehensive benefits in the US.

Qualifications

• Strong hands-on understanding of transformer architectures and generative AI.
• Experience bridging model development and business impact.
• Solid engineering background with Python and ML frameworks.
• Experience with data engineering and MLOps practices.
• Strong stakeholder management and communication.
• Ability to navigate fast-moving AI landscape.

Responsibilities

• Develops and executes strategic AI engineering plans.
• Translates priorities into actionable AI plans.
• Collaborates with product and business leaders to translate needs into scalable AI solutions.
• Oversees ML lifecycle from architecture to deployment and monitoring.
• Leads cross-functional teams in optimizing, deploying models with governance and risk management.
• Provides technical guidance and mentorship to senior technical leads.
• Sets best practices for AI optimization, deployment, and maintenance.
• Identifies emerging technologies and recommends investments in AI capabilities.

Skills

Transformer architectures

Generative AI

Python

ML frameworks

MLOps

Stakeholder management

Communication skills

Tools

PyTorch

TensorFlow

Cloud platforms

Job description

Mastercard is seeking a Director, AI Engineering in the Transformation Team, driving strategic AI initiatives across the company and enabling scalable solutions from architecture to deployment.

You will lead cross-functional teams, mentor senior engineers, and shape governance and risk management for AI/ML systems while collaborating with product, data science, and operations. The role offers competitive compensation and comprehensive benefits in the US.