Find Multi agent systems Jobs in Dublin, D

Director, Data engineering
Mastercard —Dublin, County Dublin
- Full-time
- Master's degree
- AWS
- Analytics
Senior Solution Architect
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Computer Science
- AWS
Senior Treasury Analyst
Salesforce —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Finance
- Bachelor's degree
8d
Manager, Support Engineering
Wiz, Inc. —Dublin, County Dublin
- Remote
- Azure
- Computer Science
- Engineering
Quick apply
Success Architect, Marketing Cloud
Salesforce —Dublin, County Dublin
- Full-time
- Remote
- Spanish
- Salesforce
- SQL
Director, Global Rewards & People Operations
Afiniti —Dublin, County Dublin
- Microsoft Excel
- Project management
- Communication skills
1d
ASIC Digital Design, Principal Engineer
Synopsys —Dublin, County Dublin
- Computer Science
- Engineering
- Bachelor's degree
14d
Senior Success Architect- Health and life Sciences Industry
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- English
- Communication skills
Partner Technical Architect - Agentforce
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- AI
8d
Associate Director - Environmental Health and Safety
Vantive —Dublin, County Dublin
- Remote
- Engineering
- English
- Master's degree
Senior Core Technologies Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
7d
Principal Engineer, Web Platform – Team Web
Intercom —Dublin, County Dublin
- Hybrid work
- System design
- AWS
- JavaScript
- Annual leave
- Work from home
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Senior AI Security Engineer (R-19324)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
- Annual leave
Quick apply
Lead Engineer - AI Agents
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- AI
- Leadership
2d
Nursing Site Manager
Blackrock Health Hermitage Clinic —Lucan, County Dublin
- Full-time
- Management
- Clinic
- IT
- Annual leave
- Employee assistance program
Quick apply
IT Manager
D|RES Properties —Donnybrook, County Dublin
- Full-time
- Microsoft Access
- Computer Science
- Master's degree
Quick apply
AI Engineer
Version 1 —Dublin, County Dublin
- €45,000–€55,000 a year
- Full-time
- Azure
- Oracle
- English
- Employee assistance program
- Employee discount
Quick apply
3h

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Director, Data engineering

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Law
Spark
Master's degree
AWS
Kafka
Graph databases
Analytics

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, Data engineering

Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realise their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview
The CNPF Data & AI organisation is looking for a Director of Data Engineering to lead the strategy, architecture, and delivery of the data platform powering our analytics products and agentic AI applications across Small & Medium Enterprise (SME), Corporate Solution, Transfer Solution and Commercial Verticals.

This is a senior, hands-on technical leadership role within Data & AI Product Enablement. The Director will own the data backbone that our LLM agents, MCP servers, and analytics products run on — making sure data is reliable, governed, retrievable in real time, and ready for AI consumption at production scale. The role works in close partnership with Applied AI, Product, and Architecture leadership.

Role
Own the data engineering strategy and technical direction for CNPF, with a strong focus on enabling agentic AI and GenAI products in production
Architect and deliver the data foundations for multi-agent systems — including MCP servers exposing data and tools to agents, retrieval pipelines, vector stores, feature stores, and knowledge graphs
Lead the design of context-engineering infrastructure that lets agents reason over Mastercard data safely, with the right grounding, freshness, and access controls
Drive lakehouse, streaming, and event-driven platform design (Databricks, Spark, Kafka, Delta/Iceberg) to support both batch analytics and low-latency AI use cases
Ensure data systems meet Mastercard standards for governance, lineage, data quality, observability, and risk — including the additional requirements that come with AI consumption (PII handling, prompt/response logging, audit trails)
Set technical standards for how data products are exposed to agents and applications, including MCP design patterns, schema contracts, and tool interfaces
Partner with Applied AI on evaluation and runtime data needs — training sets, eval datasets, retrieval quality, and feedback loops
Stay hands-on enough to make sharp architectural calls, review designs, and unblock the team on hard problems
Guide a team of senior data engineers, providing technical direction and growing their capability over time

ALL ABOUT YOU
Significant experience leading the design and delivery of large-scale data platforms in production
Deep expertise in distributed data processing and the modern data stack — Spark, Databricks, Kafka, dbt, Delta/Iceberg, and similar
Strong hands-on background in data architecture, modelling, streaming, and lakehouse design on AWS
Proven track record of taking data systems from concept to secure, scalable production
Solid grasp of data governance, lineage, quality, and observability frameworks
Excellent technical communication — able to align engineers, AI scientists, product managers, and executives
Comfortable operating as a player-coach: setting direction, reviewing designs, and going deep when needed

What Makes You Stand Out
You have personally built data infrastructure that powers agentic AI in production — not just analytics dashboards
Hands-on experience designing and operating MCP (Model Context Protocol) servers, including authentication, tool exposure, schema design, and observability
Direct experience building the data layer for multi-agent systems — retrieval, memory, state management, long-running workflow data, and human-in-the-loop checkpoints
Strong familiarity with vector databases, hybrid retrieval (semantic + structured), and knowledge graph integration with LLMs
Practical understanding of LLMOps data needs — eval datasets, golden traces, prompt/response telemetry, and feedback capture
Experience designing real-time and event-driven systems that support low-latency agent decisioning
Sharp instincts for the trade-offs between batch and streaming, structured and unstructured, accuracy and cost — and how those decisions cascade into agent behaviour
Experience partnering with security and governance teams to ship AI-facing data products responsibly at enterprise scale

Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks come with inherent risk and therefore it is expected that the successful candidate will:
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
Complete all mandatory security trainings in accordance with Mastercard's guidelines

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

multi agent systems jobs in dublin, d

Director, Data engineering

Senior Solution Architect

Senior Treasury Analyst

Manager, Support Engineering

Success Architect, Marketing Cloud

Director, Global Rewards & People Operations

ASIC Digital Design, Principal Engineer

Senior Success Architect- Health and life Sciences Industry

Partner Technical Architect - Agentforce

Associate Director - Environmental Health and Safety

Senior Core Technologies Engineer

Principal Engineer, Web Platform – Team Web

Senior AI Engineer

Senior AI Security Engineer (R-19324)

Lead Engineer - AI Agents

Nursing Site Manager

IT Manager

AI Engineer

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