Find Software engineer — cloud agentic Jobs in Dublin, D

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
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
Forward Deployed Engineer
Salesforce —Dublin, County Dublin
- Full-time
- Computer Science
- Salesforce
- Java
Agentic AI - Senior Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- System design
- Java
- JavaScript
Cybersecurity Engineer
Workday —Dublin, County Dublin
- €70,200–€105,400 a year
- Full-time
- Java
- AWS
- C++
13d
Senior Software Engineer - News Content Platform
Bloomberg —Dublin, County Dublin
- Computer Science
- System design
- Java
Senior Software Engineer
BLP Digital AG —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Computer Science
- System design
7d
Senior Software Development Engineer , AWS Database Migration Service
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
Principal Software Engineer — Cloud Agentic AI Platform
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Java
- Master's degree
21h
Front-End Lead Developer
Accenture —Dublin, County Dublin
- Full-time
- JavaScript
- Agile
- HTML
- Gym membership
Senior AI Architect - Microsoft Technologies (relocation to the Netherlands)
EPAM Systems, Inc. —Dublin, County Dublin
- Hybrid work
- Azure
- AWS
- SharePoint
- Employee stock purchase plan
- Annual leave
9d
Principal Software Engineer, AWS Lambda
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- AWS
- C++
Staff Site Reliability Engineer
Replit —Dublin, County Dublin
- Full-time
- Remote
- Mentoring
- Communication skills
- Python
- Life insurance
Identity & Access Management (IAM) Engineer
Workday —Dublin, County Dublin
- €70,200–€105,400 a year
- Full-time
- Computer Science
- AWS
- Analysis skills
Technical Services Engineer
MongoDB —Dublin, County Dublin
- Every weekend
- Remote
- Azure
- Java
- AWS
AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
Technology Architecture
Accenture —Dublin, County Dublin
- Full-time
- Azure
- Salesforce
- Master's degree
Lead Software Engineer - AI Tooling
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
Machine Learning Engineer
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Master's degree
- SQL
8d
Senior QA Automation Engineer (AI-First)
News Corp —Dublin, County Dublin
- Master's degree
- SQL
- AWS

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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

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Job details

Full-time

Qualifications

CI/CD
Law
Kubernetes
Java
Master's degree
Docker
Terraform
AI
Python
Debugging

Full job description

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme.

Key Responsibilities

Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability

Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable

Set multi-LLM integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models

Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems

Lead client engineering engagements at senior level — facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams

Shape and publish reusable patterns, accelerators, and engineering standards that scale across the practice and reduce ramp-up time on new client engagements

Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme-level AI impact in business terms to senior client stakeholders

Extensive experience in software engineering in production environments

Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable

Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level

Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs

RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering

LLMOps fundamentals: eval harness design, prompt versioning, and production observability

Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)

Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience

Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure

People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations

#LI-EU

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Refine Your Search

software engineer — cloud agentic jobs in dublin, d

AI Native SW Engineer - Manager

Principal Engineer - Product Group Engineering Modernisation & AI Adoption

Forward Deployed Engineer

Agentic AI - Senior Software Engineer

Cybersecurity Engineer

Senior Software Engineer - News Content Platform

Senior Software Engineer

Senior Software Development Engineer , AWS Database Migration Service

Principal Software Engineer — Cloud Agentic AI Platform

Front-End Lead Developer

Senior AI Architect - Microsoft Technologies (relocation to the Netherlands)

Principal Software Engineer, AWS Lambda

Staff Site Reliability Engineer

Identity & Access Management (IAM) Engineer

Technical Services Engineer

AI Architect (R-18541)

Technology Architecture

Lead Software Engineer - AI Tooling

Machine Learning Engineer

Senior QA Automation Engineer (AI-First)

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