Mastercard Director - AI Development Engineer

lwtsquad; O’Fallon (MO); On-site; USD 165,000 - 264,000; Full time

Benefits offered by this job

Comprehensive health insurance

401(k) with company match

Generous paid leave policies

Tuition reimbursement

Job summary

A leading technology firm is seeking a Director - AI Development Engineer to lead the delivery of AI use cases within their Center of Excellence in O’Fallon, Missouri. The role involves managing engineering teams, ensuring scalability and reliability of solutions, and integrating AI systems with enterprise data platforms. Ideal candidates have significant leadership experience and hands-on expertise in both low-code and pro-code environments. This position offers a competitive salary and a range of benefits.

Qualifications

• Proven leadership in delivering enterprise-scale AI/ML solutions.
• Hands-on experience with low-code tools and pro-code environments.
• Deep expertise in MLOps/LLMOps and enterprise architecture.

Responsibilities

• Own and execute multi-quarter roadmap for AI capabilities.
• Lead engineering teams delivering AI solutions.
• Act as technical liaison with business sponsors.

Skills

Leadership in AI/ML solutions

Experience with low-code tools

Cloud infrastructure skills

Understanding of enterprise architecture

Effective communication

Experience in regulated environments

Education

Bachelor’s or Master’s in Computer Science or Engineering

Tools

Databricks

Azure

AWS

Docker

Kubernetes

Power Platform

Job description

Director - AI Development Engineer

Overview

The Director – AI Development Engineering leads the end-to-end delivery of AI use cases within the AI Center of Excellence. Acting as the technical face of each initiative, this role partners with business stakeholders, data and platform teams, and compliance functions to translate strategy into scalable, secure solutions. The Director builds and manages a high‑performing engineering team, delivering AI systems using both low‑code and pro‑code platforms. Success is measured by business value realization, solution adoption, quality, and speed to market.

The Role

• Own and execute a multi‑quarter roadmap for AI capabilities across diverse use cases.
• Lead engineering teams delivering AI solutions using low‑code (Copilot Studio, Power Platform) and pro‑code (Databricks, Azure, AWS) platforms.
• Act as technical liaison with business sponsors; drive discovery, requirements, and solution design.
• Provide executive‑level updates on progress, risks, and value, influence decisions with data.
• Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components.
• Implement enterprise‑grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control.
• Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications.
• Integrate AI systems with enterprise data platforms, APIs, identity, and security controls.
• Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low‑code and pro‑code approaches.
• Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle.
• Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture.
• Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates.

All About You

• Bachelor’s or Master’s in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred.
• Proven leadership in delivering enterprise‑scale AI/ML solutions across software, data, and platform engineering.
• Hands‑on experience with low‑code tools (Power Platform, Copilot Studio) and pro‑code environments (Databricks, AWS, Azure).
• Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails.
• Strong understanding of enterprise architecture (APIs, microservices, event‑driven systems) and data platforms (Delta Lake, feature stores).
• Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing).
• Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps.
• Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development.

Benefits

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job‑related knowledge, skills, and experience. Mastercard benefits for full‑time employees generally include: insurance (medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new‑parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro‑rated based on date of hire; 10 annual paid U.S. observed holidays; 401(k) with a best‑in‑class company match; deferred compensation for eligible roles; fitness reimbursement or on‑site fitness facilities; eligibility for tuition reimbursement; and many more.

Pay Ranges

O'Fallon, Missouri: $165,000 - $264,000 USD

Atlanta, Georgia: $165,000 - $264,000 USD

Austin, Texas: $165,000 - $264,000 USD

Corporate Security Responsibility

• 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, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Equal Employment Opportunity Statement

Mastercard is a merit‑based, inclusive, equal‑opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [e-mail] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.