Find Lead software engineer python Jobs in Ballymount, D

AI Infrastructure Architect
Accenture —Dublin, County Dublin
- Full-time
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Manager, Software Engineering
Mastercard —Dublin, County Dublin
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- English
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Google —Dublin, County Dublin
- €150,000–€153,000 a year
- Full-time
- Computer Science
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Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Azure
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Sr. Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
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Lead SRE - Chase UK - Dublin
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
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Lead, Cloud Operations Engineering
MongoDB —Dublin, County Dublin
- On call
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Principal Software Engineer — Cloud Agentic AI Platform
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Java
- Master's degree
11d
AI Builder, Emerging Talent Senior Manager
Salesforce —Dublin, County Dublin
- Full-time
- Computer science
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Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
SRE Tech Lead - Cloud Infrastructure
TikTok —Dublin, County Dublin
- Computer Science
- Master's degree
- Bachelor's degree
Software Engineering Lead - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
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Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- DevOps
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10d
Engineering Lead
Rain Technologies Inc. —Dublin, County Dublin
- Full-time
- Remote
- System design
- SQL
- AWS
Quick apply
Technical Services Engineer
MongoDB —Dublin, County Dublin
- Every weekend
- Remote
- Azure
- Java
- AWS
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
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- Java
Linux/Embedded Firmware Engineer
Full Stack Energy —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- English
Quick apply
Senior AI Large Language Model (LLM) Architect
Accenture —Dublin, County Dublin
- Full-time
- Master's degree
- Bachelor's degree
- AI
Architect, Core Platforms (R-19675)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- English
- Microsoft Office
- Annual leave
Quick apply
16h
Technical Product Manager - Agentforce Service Cloud
Salesforce —Dublin, County Dublin
- Full-time
- DevOps
- Java
- Analysis skills
6d

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AI Infrastructure Architect

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
6 days 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

lead software engineer python jobs in ballymount, d

AI Infrastructure Architect

Manager, Software Engineering

Software Engineering Manager, Site Reliability Engineering, Turnup Org

Staff Machine Learning Engineer

Sr. Lead Security Engineer

Lead SRE - Chase UK - Dublin

Lead, Cloud Operations Engineering

Principal Software Engineer — Cloud Agentic AI Platform

AI Builder, Emerging Talent Senior Manager

Senior Applied Scientist, AWS Security

SRE Tech Lead - Cloud Infrastructure

Software Engineering Lead - Infrastructure Platforms

Lead Security Engineer

Engineering Lead

Technical Services Engineer

Staff Machine Learning Engineer

Linux/Embedded Firmware Engineer

Senior AI Large Language Model (LLM) Architect

Architect, Core Platforms (R-19675)

Technical Product Manager - Agentforce Service Cloud

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