Director, AI Engineering, Transformation Team

Mastercard

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Purchase, NYArlington, VAO'Fallon, MO
Salary
$195,000–$323,000 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $241k
This role $259k
$170k most similar roles pay here $339k

This role pays more than 60% of similar roles. Most pay $194,775–$288,150 — the shaded band above. At the midpoint, this role pays about $259k versus about $241k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 128 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 114 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Director, AI Engineering, Transformation Team

The Director, AI Engineering, Transformation Team leads strategic initiatives to embed AI across key workflows and improve operating effectiveness. This role involves developing and executing short-term and medium-term strategic plans for AI engineering while overseeing the full machine learning lifecycle from architecture and design to deployment and monitoring. The individual will lead cross-functional teams to optimize, fine-tune, and deploy models that meet performance, robustness, and ethical standards. Key responsibilities include providing technical mentorship, defining best practices for model governance, and translating organizational needs into scalable AI solutions. Required expertise includes a hands-on understanding of transformer architectures, generative AI, Python, PyTorch, and TensorFlow. The role requires proficiency in MLOps practices to support training and inference at scale while bridging the gap between complex model development and real-world business impact within an evolving landscape.

What you'll do

  • Develop and execute short-term and medium-term strategic plans for AI Engineering across the organization.
  • Translate organizational priorities into actionable technical roadmaps and deliverables for AI/ML teams.
  • Oversee the full ML engineering lifecycle, including architecture design, deployment, and performance monitoring.
  • Lead cross-functional teams to optimize, fine-tune, and deploy models that meet ethical and safety standards.
  • Define best practices and methodologies for AI/ML optimization, deployment, and maintenance.
  • Provide technical guidance and mentorship to senior technical leads to ensure excellence in engineering.
  • Identify emerging trends and evaluate new technologies to recommend strategic investments in AI capabilities.

What we're looking for

  • 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 to translate AI capabilities into business impact.
  • Solid engineering background with familiarity in Python and ML frameworks like PyTorch or TensorFlow.
  • Experience with data engineering and MLOps practices to support training, evaluation, and inference at scale.
  • Proven ability to manage stakeholders and align technical delivery with business priorities and measurable outcomes.
  • Ability to communicate complex AI concepts effectively to both technical and non-technical audiences.
  • Capability to operate in a fast-moving environment with ambiguity and shifting priorities.

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