Find Lead software engineer (java/ai) Jobs in County Dublin

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Lead Software Engineer - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
Application Support Engineer
Millennium Management —Dublin, County Dublin
- Computer Science
- Java
- AWS
Technical Lead
RWS Group —Dublin, County Dublin
- Full-time
- Microsoft Excel
- DevOps
- Java
Software Engineer 3, Atlas Growth 2
MongoDB —Dublin, County Dublin
- On call
- Azure
- Java
- AWS
Software Engineer - Traffic team
Snowflake —Dublin, County Dublin
- On call
- Azure
- Computer Science
- Java
Senior Product Engineer - Supply Team
WeTravel —Dublin, County Dublin
- Full-time
- Remote
- English
- Java
- Master's degree
- Annual leave
- Work from home
Staff Cloud Backend Engineer (Database)
Sonatus —Dublin, County Dublin
- Computer Science
- Java
- Master's degree
Quick apply
13d
AI Native SW Engineering Consultant
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
AI Builder Emerging Talent, Manager - Public Sector, NonProfit & Education
Salesforce —Dublin, County Dublin
- Full-time
- Computer science
- Computer Science
- Salesforce
Senior Software Developer - Authentication Team
Workday —Dublin, County Dublin
- €86,400–€129,600 a year
- Full-time
- Java
- Bachelor's degree
- Software development
Software Engineering Lead - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
Technical Lead
Fiserv —Dublin, County Dublin
- Full-time
- DevOps
- Java
- AWS
Senior Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- Engineering
Lead Infrastructure Engineer (Workplace Solutions)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Windows
- Java
13d
Lead Security Engineer - Application Security
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Java
- SQL
- AWS
1d
Sr. Software Development Engineer, AWS DMS
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Java
Lead Software Engineer - Financial Wellness
Gen Digital Inc. —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- Java
- AWS
Quick apply
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

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AI Native SW Engineer - Manager

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

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

lead software engineer (java/ai) jobs in county dublin

AI Native SW Engineer - Manager

Lead Software Engineer - Infrastructure Platforms

Application Support Engineer

Technical Lead

Software Engineer 3, Atlas Growth 2

Software Engineer - Traffic team

Senior Product Engineer - Supply Team

Staff Cloud Backend Engineer (Database)

AI Native SW Engineering Consultant

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

Senior Software Developer - Authentication Team

Software Engineering Lead - Infrastructure Platforms

Applied Scientist, AI Ops Integration

Technical Lead

Senior Software Engineer

Lead Infrastructure Engineer (Workplace Solutions)

Lead Security Engineer - Application Security

Sr. Software Development Engineer, AWS DMS

Lead Software Engineer - Financial Wellness

Principal Engineer - Product Group Engineering Modernisation & AI Adoption

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