Find Google architect Jobs in Dublin, D

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
15h
Head of Architecture and Engineering Operations
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Customer & Consumer Data Product Owner
Glanbia Foods —DUBLIN 24, County Dublin
- Hybrid work
- Azure
- Master's degree
- SQL
Senior Site Reliability Engineer
Replit —Dublin, County Dublin
- Full-time
- Remote
- Communication skills
- Python
- Life insurance
Principle Android Engineer
Elwood Roberts —Dublin, County Dublin
- €60,000–€70,000 a month
- Full-time
- System design
- English
- AWS
Quick apply
Senior Branding Account Manager, Large Customer Sales, Benelux Retail (English)
Google —Dublin, County Dublin
- €96,000–€98,500 a year
- Full-time
- Sales
- English
- Business development
4d
Senior API Engineer
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Azure
- Management
- Computer Science
Forward Deployed Engineer III, GCC (French, German)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Senior Manager Data Architecture and AI
Aptiv plc —Dublin, County Dublin
- Azure
- Computer Science
- Java
- Gym membership
Lead Security Architect - Flutter Functions
Flutter Entertainment —Dublin, County Dublin
- Full-time
- AWS
- Agile
- AI
Web Engineer, Marketing
Supermetrics —Dublin, County Dublin
- JavaScript
- AI
- Analytics
Quick apply
Principal Sales Strategy & Operations Manager
Intercom —Dublin, County Dublin
- Hybrid work
- Microsoft Excel
- Sales
- SQL
- Annual leave
- Work from home
Principal Cloud & Kubernetes Engineer
InterSystems —Dublin, County Dublin
- Azure
- DevOps
- AWS
13d
Strategic Operations Manager, Egregious Harms, Service Delivery, Trust and Safety
Google —Dublin, County Dublin
- €138,000–€142,000 a year
- Full-time
- Bachelor's degree
- No degree
- AI
3d
Vice President, Solutions Architecture - EMEA
MongoDB —Dublin, County Dublin
- Azure
- English
- AWS
9d
Cloud Platform Manager
Elwood Roberts —Dublin, County Dublin
- €500–€600 a day
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Digital Experience Engineer (Marketing)
Supermetrics —Dublin, County Dublin
- JavaScript
- AI
- Analytics
Quick apply
Senior Cloud & Kubernetes Engineer
InterSystems —Dublin, County Dublin
- Azure
- DevOps
- AWS
13d
Senior Lead Software Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
6d
GTM Automation Specialist
Supermetrics —Dublin, County Dublin
- Sales
- AI
Quick apply

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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
15 hours 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

google architect jobs in dublin, d

AI Native SW Engineer - Manager

Head of Architecture and Engineering Operations

Customer & Consumer Data Product Owner

Senior Site Reliability Engineer

Principle Android Engineer

Senior Branding Account Manager, Large Customer Sales, Benelux Retail (English)

Senior API Engineer

Forward Deployed Engineer III, GCC (French, German)

Senior Manager Data Architecture and AI

Lead Security Architect - Flutter Functions

Web Engineer, Marketing

Principal Sales Strategy & Operations Manager

Principal Cloud & Kubernetes Engineer

Strategic Operations Manager, Egregious Harms, Service Delivery, Trust and Safety

Vice President, Solutions Architecture - EMEA

Cloud Platform Manager

Digital Experience Engineer (Marketing)

Senior Cloud & Kubernetes Engineer

Senior Lead Software Engineer

GTM Automation Specialist

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