Director of AI Engineering (Transformation Team)
- Source: Workday
- Mastercard
- $195,000 to $323,000 /yr
- On-site
- New York City
- Full-Time
- Senior
Job Description
- The Transformation Team leads strategic change initiatives to reimagine how Mastercard works and scales, simplifies, and accelerates business outcomes
- The team partners across leadership, product, technology, and operations to design and implement new organizational models, embed AI across key workflows, drive enterprise-wide transformation programs, improve operating effectiveness, and ensure successful adoption of change
- By combining strategy, AI engineering, organizational design, change management, and program execution, the team helps align people, processes, and priorities to support long-term growth and business performance
- This job develops and executes short-term and medium-term strategic plans for AI Engineering across Mastercard, aligning functional initiatives with organizational objectives by modifying existing methods to make significant improvements to existing processes, programs, and/or policies
- Drives the development and execution of short-term functional strategies for AI/ML teams, translating organizational priorities into actionable plans and deliverables
- Collaborates with product and business leaders to translate organizational needs into scalable AI solutions and operational strategies
- Oversees the ML engineering lifecycle of AI/ML projects, from architecture, design to deployment and monitoring, ensuring timely delivery within scope and budget
- Leads cross-functional teams in optimizing, fine-tuning, and deploying models that meet performance, robustness, and ethical standards, ensuring operational stability, scalability, and compliance of AI/ML systems, including model governance, ethical standards, and risk management
- Provides technical guidance and mentorship to senior technical leads, supporting their professional growth and ensuring technical excellence
- Serves as a key stakeholder and influencer in cross-functional initiatives, working closely with product managers, data scientists, and business units to align AI/ML solutions with strategic objectives
- Defines and refines best practices, standards, and methodologies for AI/ML optimization, deployment, and maintenance, ensuring consistency and high-quality outputs
- Contributes to organizational strategy by identifying emerging trends, evaluating new technologies, and recommending investments in AI/ML capabilities
- Abide by Mastercard’s security policies and practices
- Ensure the confidentiality and integrity of the information being accessed
- Report any suspected information security violation or breach
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines- Experience bridging model development and real-world application, translating AI capabilities into business impact
- Strong hands-on understanding of transformer architectures and generative AI, including fine-tuning, prompting, embeddings, and evaluation
- Comfortable operating in a fast-moving, evolving AI landscape with ambiguity and shifting priorities
- Solid engineering background, with familiarity in Python, ML frameworks (e.g. PyTorch/TensorFlow), and production deployment patterns
- Experience working with data engineering and MLOps practices to support training, evaluation, and inference at scale
- Excellent communication skills, able to articulate complex AI concepts to both technical and non-technical audiences
- Strong stakeholder management skills, with the ability to align technical delivery to business priorities and measurable outcomes
Skills
- mastercard
- Python
- PyTorch
- Tensorflow
- workday
