Director, AI Engineering, Transformation Team
$195k - $323k • Purchase, New York • Full-time
Posted 4d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
LLM Engineer
About the job
The Transformation Team at Mastercard leads strategic change initiatives to reimagine how the company operates, scales, and accelerates business outcomes. This role will partner across leadership, product, technology, and operations to design and implement new organizational models, embed AI across key workflows, drive enterprise-wide transformation programs, and improve operating effectiveness. 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.
Responsibilities
- Develop and execute strategic plans for AI Engineering, aligning functional initiatives with organizational objectives.
- Drive the development and execution of functional strategies for AI/ML teams, translating organizational priorities into actionable plans.
- Collaborate with product and business leaders to translate organizational needs into scalable AI solutions and operational strategies.
- Oversee the ML engineering lifecycle of AI/ML projects, from architecture and design to deployment and monitoring.
- Lead cross-functional teams in optimizing, fine-tuning, and deploying models, ensuring operational stability, scalability, and compliance.
- Provide technical guidance and mentorship to senior technical leads.
- Serve as a key stakeholder and influencer in cross-functional initiatives.
- Define and refine best practices, standards, and methodologies for AI/ML optimization, deployment, and maintenance.
- Contribute to organizational strategy by identifying emerging trends and evaluating new technologies.
Requirements
- Strong hands-on understanding of transformer architectures and generative AI, including fine-tuning, prompting, embeddings, and evaluation.
- Experience bridging model development and real-world application, translating AI capabilities into business impact.
- 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 for training, evaluation, and inference at scale.
- Strong stakeholder management skills, with the ability to align technical delivery to business priorities.
- Comfortable operating in a fast-moving, evolving AI landscape with ambiguity and shifting priorities.
- Excellent communication skills, able to articulate complex AI concepts to both technical and non-technical audiences.
Benefits
- Competitive base salary
- Potential for annual bonus or commissions
- Medical insurance
- Prescription drug insurance
- Dental insurance
- Vision insurance
- Disability insurance
- Life insurance
- Flexible spending account
- Health savings account
- 16 weeks of new parent leave
- Up to 20 days of bereavement leave
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time
- 5 personal days