Find Technical program manager iii, data center deployments Jobs in Dublin, D

Lead AI Platform Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
3d
Water Systems Design Engineer, DC Design Engineering
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
2d
Director of Sales Engineering
Tate Europe —Dublin, County Dublin
- Full-time
- Sales
- Engineering
- Master's degree
Quick apply
Electrical Capacity Install Technician , DCEO Capacity Install
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
Senior Architect, Global Engineering Strategy
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- AutoCAD
- Engineering
- Maintenance
Project Design Controls Engineer, Fleet Remediation Engineering
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Bachelor's degree
- Electrical Engineering
Software Development Engineer, Amazon Optics
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- AWS
- Bachelor's degree
Director - Sales
Wesco —Dublin, County Dublin
- Full-time
- Sales
- Engineering
- Bachelor's degree
Mechanical Design Engineer, Data Centre Engineering
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Bachelor's degree
- Construction experience
Senior Data Centre Structural Engineer, DC Design Engineering
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- AWS
- Bachelor's degree
Network Dev Engineer II, AWS Border Network
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior Robotics Software Engineer, Payload Integration
Anduril Industries —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- C++
Quick apply

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Lead AI Platform Engineer

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
3 days ago

Qualifications

CI/CD
Azure
Computer Science
Software Engineering
Kubernetes
DevOps
Engineering
Google Cloud Platform
Master's degree
AWS
Docker
Bachelor's degree
Mentoring
Computer Engineering
AI
Leadership
Communication skills
Python

Full job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead AI Platform Engineer

Overview

As a Lead AI Platform Engineer within Mastercard's AI Center of Excellence, you will lead the design, development, and evolution of the enterprise AI platform that enables teams to build, deploy, and operate AI and Generative AI solutions at scale. You will combine deep technical expertise with engineering leadership, managing a team of AI Engineers while establishing the platform capabilities, standards, and operational practices that accelerate AI adoption across the enterprise

You will partner with Enterprise Architecture, Cloud Engineering, Data Engineering, Security, Product Management, and Data Science teams to deliver a secure, scalable, and reusable AI ecosystem supporting the full AI lifecycle from experimentation through production

Key Responsibilities

Lead the design and evolution of Mastercard's enterprise AI platform, providing reusable services, tools, and frameworks that accelerate AI solution delivery
Manage and mentor a team of AI Engineers, providing technical guidance, coaching, performance feedback, and career development
Define the technical roadmap for AI platform capabilities, ensuring alignment with business priorities and enterprise technology strategy
Build and maintain shared AI services including model serving, inference APIs, feature stores, vector databases, prompt management, AI gateways, model registries, and developer self-service capabilities
Establish enterprise standards for MLOps and LLMOps, including CI/CD, model lifecycle management, observability, evaluation, governance, security, and automated deployment
Design cloud-native AI infrastructure using Kubernetes, containers, infrastructure as code, microservices, and event-driven architectures
Ensure the AI platform delivers high availability, scalability, resilience, performance, and cost optimization for enterprise workloads
Partner with AI Engineers and Data Scientists to productionize AI and Generative AI solutions, reducing time-to-market through standardized platform capabilities
Collaborate with Security, Risk, and Compliance teams to implement Responsible AI, governance, access controls, auditability, and regulatory requirements
Drive platform reliability through monitoring, incident management, capacity planning, disaster recovery, and operational excellence
Evaluate emerging AI technologies and integrate new platform capabilities that improve developer productivity and enterprise AI adoption
Foster engineering excellence by promoting software engineering best practices, automation, documentation, and continuous improvement across the AI engineering organization

Required Qualifications

Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
Extensive experience designing and operating enterprise software platforms, cloud-native applications, or AI/ML platforms.
Experience leading and mentoring engineering teams in an enterprise environment.
Strong software engineering skills using Python
Deep expertise with Kubernetes, Docker, APIs, microservices, Infrastructure as Code, and cloud platforms including AWS, Azure, or Google Cloud Platform
Experience building and operating AI/ML platforms, MLOps, or AgenticOps capabilities supporting production AI workloads
Experience with modern AI technologies including LLMs, RAG, vector databases, model serving frameworks, and AI orchestration platforms
Strong understanding of platform engineering principles, DevOps, CI/CD, observability, reliability engineering, and automation
Experience implementing security, governance, and compliance controls within enterprise technology platforms
Excellent communication, stakeholder management, and leadership skills

What You'll Deliver

A secure, scalable, and enterprise-ready AI platform that enables rapid development and deployment of AI and Generative AI solutions
High-performing AI engineering teams that consistently deliver production-quality solutions using standardized platform capabilities
Enterprise AI engineering practices that improve developer productivity, operational excellence, governance, and platform reliability
Strategic platform capabilities that accelerate AI innovation while ensuring security, compliance, scalability, and long-term maintainability across Mastercard

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

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.

Apply Now

Refine Your Search

technical program manager iii, data center deployments jobs in dublin, d

Lead AI Platform Engineer

Water Systems Design Engineer, DC Design Engineering

Director of Sales Engineering

Electrical Capacity Install Technician , DCEO Capacity Install

Senior Architect, Global Engineering Strategy

Project Design Controls Engineer, Fleet Remediation Engineering

Software Development Engineer, Amazon Optics

Director - Sales

Mechanical Design Engineer, Data Centre Engineering

Senior Data Centre Structural Engineer, DC Design Engineering

Network Dev Engineer II, AWS Border Network

Senior Robotics Software Engineer, Payload Integration

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