Find Stack lead software engineer Jobs in Clontarf, D

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
5d
Senior Manager, Global Delivery Engineering
Dolby —Dublin, County Dublin
- Engineering
- Java
- Leadership
Manager, Security Engineering, Differentiated Security Team
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
6d
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
4d
Senior Data Engineer
ZoomInfo Technologies LLC —Dublin, County Dublin
- On call
- Remote
- Computer Science
- Master's degree
- SQL
4d
Engineering Manager
Cylynt —Dublin, County Dublin
- Full-time
- Remote
- Oracle
- Agile
- Python
Quick apply
Principal Engineer, Web Platform – Team Web
Intercom —Dublin, County Dublin
- Hybrid work
- System design
- AWS
- JavaScript
- Annual leave
- Work from home
Business Development Executive
Learnosity —Dublin, County Dublin
- €45,000–€50,000 a year
- Full-time
- Hybrid work
- Computer Science
- Sales
- Salesforce
Quick apply
Senior Manager, Architecture & Components
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
5d
Partner Technical Architect - Agentforce
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- AI
Senior Engineer, Infrastructure Platform
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- Annual leave
- Work from home
Staff Engineer
Solance —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- Java
- AWS
Quick apply
Senior Manager, Platform Engineering
Prove —Dublin, County Dublin
- €120,000–€140,000 a year
- Remote
- Computer Science
- System design
- Java
- Employee assistance program
13h
Senior Engineering Manager, API Hub
Bentley Systems —DUBLIN 2, County Dublin
- Communication skills
Principal Engineer - Commerce Hub
Fiserv —Dublin, County Dublin
- Full-time
- Java
- AWS
- AI
8d
Senior Product Marketing Manager
Intercom —Dublin, County Dublin
- Hybrid work
- Research
- Marketing
- Annual leave
- Work from home
Staff Engineer
Seapoint —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- AWS
Quick apply
Automation Engineer DeltaV
Cognizant —Dublin, County Dublin
- Full-time
- Hybrid work
- No degree
6d
Senior Azure Integration Engineer
Codec —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- DevOps
Quick apply
5d

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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
5 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

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Refine Your Search

stack lead software engineer jobs in clontarf, d

AI Native SW Engineer - Manager

Senior Manager, Global Delivery Engineering

Manager, Security Engineering, Differentiated Security Team

Director of Data Engineering

Director of Software Engineering - Workplace Technology

Senior Data Engineer

Engineering Manager

Principal Engineer, Web Platform – Team Web

Business Development Executive

Senior Manager, Architecture & Components

Partner Technical Architect - Agentforce

Senior Engineer, Infrastructure Platform

Staff Engineer

Senior Manager, Platform Engineering

Senior Engineering Manager, API Hub

Principal Engineer - Commerce Hub

Senior Product Marketing Manager

Staff Engineer

Automation Engineer DeltaV

Senior Azure Integration Engineer

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