Find Lead software engineer (java/ai) Jobs in Dublin 18, D

AI Native SW Engineering Consultant
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
Software Development Engineer, AWS Database Migration Service
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Java
Principal Software Engineering Manager - W+D
Microsoft —Dublin, County Dublin
- €99,800–€172,400 a year
- Full-time
- Computer Science
- Windows
- Java
7d
AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Senior Software Engineer (Innovation & Prototyping)
Bentley Systems —DUBLIN 2, County Dublin
- Azure
- Computer Science
- Java
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- System design
- Java
- Mentoring
Principal Software Engineering Manager - SXG
Microsoft —Dublin, County Dublin
- €99,800–€172,400 a year
- Full-time
- Azure
- Computer Science
- Java
Senior Software Engineering Manager
Microsoft —Dublin, County Dublin
- €77,400–€130,000 a year
- Full-time
- Computer Science
- Windows
- Java
Director of Software Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Java
- C++
- Mentoring
Lead Software Engineer (Backend, AWS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
Lead Software Engineer - AWS
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Oracle
- Java
- SQL
Lead Software Engineer- Backend
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- DevOps
- System design
Lead Software Engineer - AI Tooling
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
Lead Infrastructure Engineer (Workplace Solutions)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Windows
- Java
9d
Software Engineering Lead - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Lead Software Engineer - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
System Development Engineer II, Enterprise Productivity MailBoxCore Team
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- Java
AI Builder Emerging Talent, Manager - Public Sector, NonProfit & Education
Salesforce —Dublin, County Dublin
- Full-time
- Computer science
- Computer Science
- Salesforce

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AI Native SW Engineering Consultant

Accenture -
Dublin, County Dublin

Apply Now

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

Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability

Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets

Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management

Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring

Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs

Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster

Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

Software engineering experience 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

#LI-EU

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Refine Your Search

lead software engineer (java/ai) jobs in dublin 18, d

AI Native SW Engineering Consultant

Principal Engineer - Product Group Engineering Modernisation & AI Adoption

Software Development Engineer, AWS Database Migration Service

Principal Software Engineering Manager - W+D

AI Native SW Engineer - Manager

Senior Software Engineer (Innovation & Prototyping)

Lead Software Engineer

Principal Software Engineering Manager - SXG

Senior Software Engineering Manager

Director of Software Engineering

Lead Software Engineer (Backend, AWS)

Lead Software Engineer - AWS

Lead Software Engineer- Backend

Lead Software Engineer - AI Tooling

Lead Infrastructure Engineer (Workplace Solutions)

Software Engineering Lead - Infrastructure Platforms

Director of Software Engineering - Workplace Technology

Lead Software Engineer - Infrastructure Platforms

System Development Engineer II, Enterprise Productivity MailBoxCore Team

AI Builder Emerging Talent, Manager - Public Sector, NonProfit & Education

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