Find Director of ai engineering Jobs in Coolock, D

Director of AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- AI
- Communication skills
- Python
8d
Director of Engineering
CarTrawler —Dublin, County Dublin
- Hybrid work
- AI
- Annual leave
- Employee assistance program
Director of Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
8d
Technical Delivery Director - AI, Agentic Systems & Production AI
EPAM Systems, Inc. —Dublin, County Dublin
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
- Employee stock purchase plan
- Referral programme
9d
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
4d
Director, GenAI Engineering – (Codified Controls)
Citi —Dublin, County Dublin
- €130,000–€230,000 a year
- Full-time
- Hybrid work
- Master's degree
- SQL
- Communication skills
Director of Security Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Software development
- AI
- Leadership
Director, Impact Engineering
ServiceNow —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Engineering
- Master's degree
- AI
Quick apply
Senior Data Director (Hybrid)
Nitro —Dublin, County Dublin
Quick apply
Director, Project Manager
Mastercard —Dublin, County Dublin
- Full-time
- Bachelor's degree
- Agile
- AI
Sr. Director & Head of Architecture
G-P —Dublin, County Dublin
- €160,800–€201,000 a year
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
Quick apply
10d
Senior Product Manager, AI / ML Solutions
Optum —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Data analysis skills
Director, Engineering - Comms Capture
Gong.io —Dublin, County Dublin
- Azure
- AWS
- AI
Quick apply
Software Engineering Manager
Applied Materials —Dublin, County Dublin
- Full-time
- Management
- Computer Science
- Master's degree
Director of Spectrum and Market Framework
ComReg —North Wall, County Dublin
- €183,771.00–€183,771.62 a year
- Full-time
- Hybrid work
- Master's degree
- Continuous improvement
- Business
- Annual leave
- Employee assistance program
Quick apply
1d
Director Data Science
Optum —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
4d
Associate Director, Data Analytics. Healthcare Economics
Optum —Dublin, County Dublin
- Full-time
- Azure
- Research
- Master's degree
Director, Product Management - AI Platform
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- AWS
- Analysis skills
1d
Director, Community Marketing
Bentley Systems —DUBLIN 2, County Dublin
- AI
- Leadership
- Marketing
Senior Data Scientist - Network Analytics & AI Enablement
Optum —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- SQL
11d

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Director of AI Engineering

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
8 days ago

Qualifications

TensorFlow
AI
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

Director of AI Engineering

Overview
Mastercard is seeking a Director of AI Engineering to lead a specialised team of AI engineers focused on foundation model development and the delivery of high‑value AI use cases. This role is responsible for driving the practical application of transformer‑based and generative AI capabilities—ensuring models are effectively developed, adapted, and deployed to solve real business problems.
You will lead a team working at the intersection of model development and use case execution, translating foundational AI capabilities into scalable, production‑ready solutions. The role requires strong technical judgement, delivery leadership, and the ability to balance innovation with enterprise requirements for reliability, security, and governance.

Role
In this role, you will lead a team responsible for developing and applying foundation model capabilities to priority use cases.
Key responsibilities include:

Lead a team of AI engineers focused on foundation model development, fine‑tuning, and optimisation, particularly transformer‑based and generative AI systems
Drive the end‑to‑end delivery of AI use cases, from problem definition through model integration and production deployment
Partner with product and business stakeholders to identify and prioritise high‑impact AI use cases, translating them into clear technical execution plans
Ensure effective use of foundation models across use cases, including prompting strategies, embeddings, fine‑tuning, evaluation, and performance optimisation
Collaborate with data engineering and platform teams to ensure data readiness, model integration, and scalable deployment patterns
Establish best practices for model evaluation, experimentation, and continuous improvement, ensuring solutions are robust and measurable
Embed responsible AI practices, including model validation, bias considerations, and appropriate guardrails
Provide technical guidance and coaching to engineers, ensuring high standards in both AI development and software engineering practices
Track delivery progress, manage risks, and ensure timely, high‑quality execution of use cases aligned to program priorities

All About You

Proven experience leading teams delivering AI/ML solutions in production, particularly in use‑case driven environments
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 to support training, evaluation, and inference at scale
Strong stakeholder management skills, with the ability to align technical delivery to business priorities and measurable outcomes
Demonstrated ability to lead and develop high‑performing teams, providing technical direction, coaching, and delivery oversight
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

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

director of ai engineering jobs in coolock, d

Director of AI Engineering

Director of Engineering

Director of Software Engineering

Technical Delivery Director - AI, Agentic Systems & Production AI

Director of Data Engineering

Director, GenAI Engineering – (Codified Controls)

Director of Security Engineering

Director, Impact Engineering

Senior Data Director (Hybrid)

Director, Project Manager

Sr. Director & Head of Architecture

Senior Product Manager, AI / ML Solutions

Director, Engineering - Comms Capture

Software Engineering Manager

Director of Spectrum and Market Framework

Director Data Science

Associate Director, Data Analytics. Healthcare Economics

Director, Product Management - AI Platform

Director, Community Marketing

Senior Data Scientist - Network Analytics & AI Enablement

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