Find Multi agent systems Jobs in Dublin County Dublin

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
4d
Senior AI Developer
Citco —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- Master's degree
Director, Data engineering
Mastercard —Dublin, County Dublin
- Full-time
- Master's degree
- AWS
- Analytics
Forward Deployed Engineer III, GCC (French, German)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Technical Migration Delivery Sr Lead - Marketing or Revenue Cloud
Salesforce —Dublin, County Dublin
- Full-time
- Sales
- Salesforce
- No degree
5d
Senior Solution Architect
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Computer Science
- AWS
Senior Data Engineer
Keyrock —Dublin, County Dublin
- Full-time
- Remote
- System design
- SQL
- No degree
Fullstack Developer - Python
Citco —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- AWS
Lead Software Engineer - Financial Wellness
Gen Digital Inc. —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- Java
- AWS
Quick apply
Senior Manager, Architecture & Components
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
4d
Transformation Engineer
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Python
- Annual leave
- Sick pay
Quick apply
11d
Lead Engineer - AI Agents
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- AI
- Leadership
12d
Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
Senior Software Engineer - API Platform (Python/Typescript)
Workday —Dublin, County Dublin
- €86,400–€129,600 a year
- Full-time
- AWS
- Mentoring
- AI
Manager, Architecture & Components
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
16h
Partner Technical Architect - Agentforce
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- AI
Staff AI Designer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
AI Software Engineer II (R-19524)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- Master's degree
- Annual leave
Quick apply
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Digital AI Solution Architect
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- DevOps
3d

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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
4 days ago

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

Apply Now

Refine Your Search

multi agent systems jobs in dublin county dublin

AI Native SW Engineer - Manager

Senior AI Developer

Director, Data engineering

Forward Deployed Engineer III, GCC (French, German)

Technical Migration Delivery Sr Lead - Marketing or Revenue Cloud

Senior Solution Architect

Senior Data Engineer

Fullstack Developer - Python

Lead Software Engineer - Financial Wellness

Senior Manager, Architecture & Components

Transformation Engineer

Lead Engineer - AI Agents

Senior Engineer, Applied AI

Senior Software Engineer - API Platform (Python/Typescript)

Manager, Architecture & Components

Partner Technical Architect - Agentforce

Staff AI Designer

AI Software Engineer II (R-19524)

Senior AI Engineer

Digital AI Solution Architect

I want to receive the latest job alerts for multi agent systems in dublin county dublin

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