Find Stack ai software engineer Jobs in Dublin, D

AI Infrastructure Architect
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
12h
Senior Full Stack Engineer - Team Web
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- AWS
- Bachelor's degree
- Work from home
Software Engineer III, Infrastructure
Google —Dublin, County Dublin
- €100,000–€102,000 a year
- Full-time
- Doctoral degree
- Computer Science
- System design
12h
Full Stack Engineer
Akara Robotics —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- System design
- Annual leave
Quick apply
1d
Mid-Level Software Engineer – Ruby on Rails
Bizimply —Dublin, County Dublin
- Full-time
- Master's degree
- SQL
- AWS
Quick apply
1d
Staff Backend Engineer
Gong.io —Dublin, County Dublin
- Hybrid work
- Computer Science
- English
- Java
Quick apply
1d
Software Development Engineer, AWS Incident Tooling & Response
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Engineering
- AWS
Principal Engineer - Product Group Engineering Modernisation & AI Adoption
U.S. Bank National Association —DUBLIN 18, County Dublin
- €117,980–€138,800 a year
- Full-time
- Azure
- Computer Science
- Engineering
Sr. Full-Stack Developer (Python & Java)
Broadridge —Dublin, County Dublin
- Full-time
- English
- Java
- AWS
Lead Software Engineer- Backend
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- DevOps
- System design
Data Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- AI
Staff Software Engineer, AI Reliability Engineering
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Bachelor's degree
- AI
- Communication skills
Software Engineer Train AI (Senior)
RWS Group —Dublin, County Dublin
- Full-time
- Microsoft Excel
- No degree
- AI
8d
Senior Software Engineer - Commerce Hub
Fiserv —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AWS
Lead Software Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Oracle
- Java
- SQL
Senior Software Engineer
Equifax —Dublin, County Dublin
- Full-time
- Azure
- Java
- AWS
- Gym membership
- Sick pay
Founding Backend Engineer (Java)
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
Hardware Solutions Engineer
AMAX —Dublin, County Dublin
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
Quick apply
Senior AI Engineer
Workday —Dublin, County Dublin
- €91,300–€136,900 a year
- Full-time
- Computer Science
- System design
- Master's degree
Senior Full Stack Engineer
ZeroRisk —Dublin, County Dublin
- Full-time
- Remote
- Java
- AWS

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AI Infrastructure Architect

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
12 hours ago

Qualifications

CI/CD
Computer Science
Kubernetes
Engineering
Java
C++
Docker
Bachelor's degree
Computer Engineering
Apache
AI
Communication skills
Python

Full job description

YOU ARE

As a hands-on Infrastructure Architect, you are an experienced engineer with several years in infrastructure engineering who now takes on more complex, higher-impact work designing and optimizing the AI and machine learning infrastructure that powers real-world applications. Working alongside senior architects and engineers — and increasingly leading your own workstreams — you apply proven skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and the infrastructure they run on. Day to day, you architect and optimize infrastructure components, write and review code and deployment scripts, design and tune cloud and on-premises compute resources such as GPU clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and independently troubleshoot and resolve complex issues across the stack. You also mentor junior engineers, contribute to architectural decisions, and help establish best practices. This is a hands-on, ownership-driven where you apply and deepen your expertise across modern tools and platforms — including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring — while making meaningful contributions to infrastructure that enables AI-driven business outcomes.

THE WORK

Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling, setting standards for quality across the team.

Architect, configure, and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups, optimizing for performance and utilization.

Design and maintain deployment automation and CI/CD pipelines to support reliable, repeatable releases of AI systems, models, and applications.

Deploy AI systems, models, and data pipelines into production, defining and improving the processes and best practices others follow.

Lead container orchestration and model serving using tools such as Docker, Kubernetes, and model deployment frameworks.

Architect and optimize the computational stack for performance, power, cost, and scalability, balancing trade-offs against business goals.

Evaluate and select tools, frameworks, and platforms, making recommendations that shape the infrastructure roadmap.

Integrate AI models and systems into existing enterprise systems, ensuring interoperability, security, and regulatory compliance.

Own AI monitoring and infrastructure health across InfraOps and MLOps, tracking performance, reliability, and utilization, and driving remediation.

Independently troubleshoot and resolve complex issues across the computational stack — hardware, networking, software, and models — and lead root-cause analysis.

Mentor junior engineers and lead code reviews, providing technical direction and supporting their growth.

Define and document architecture standards, processes, and procedures, and apply security, cost-efficiency, and scalability best practices across the infrastructure.

EDUCATION

- Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field

BASIC (REQUIRED) QUALIFICATION

Practical experience in coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.

Strong understanding of AI and machine learning as a subject.

Strong understanding of computing infrastructure a subject, preferred knowledge of AI infrastructure.

Proficiency in programming languages such as Python, Java, or C++.

Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow).

Strong problem-solving skills and ability to work in a fast-paced environment.

Excellent communication and collaboration skills.

Proven experience in AI/ML infrastructure engineering or related roles on a hyperscaler platform for deploying large scale solutions.

Apply Now

Refine Your Search

stack ai software engineer jobs in dublin, d

AI Infrastructure Architect

Senior Full Stack Engineer - Team Web

Software Engineer III, Infrastructure

Full Stack Engineer

Mid-Level Software Engineer – Ruby on Rails

Staff Backend Engineer

Software Development Engineer, AWS Incident Tooling & Response

Principal Engineer - Product Group Engineering Modernisation & AI Adoption

Sr. Full-Stack Developer (Python & Java)

Lead Software Engineer- Backend

Data Engineer

Staff Software Engineer, AI Reliability Engineering

Software Engineer Train AI (Senior)

Senior Software Engineer - Commerce Hub

Lead Software Engineer

Senior Software Engineer

Founding Backend Engineer (Java)

Hardware Solutions Engineer

Senior AI Engineer

Senior Full Stack Engineer

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