Find Lead software engineer python Jobs in Dublin, D

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
AI Infrastructure Architect
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
5d
Lead Site Reliability Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
Network Development Engineer, Network - Core
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Scripting
- Linux
Sr. Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
AI Builder, Emerging Talent Senior Manager
Salesforce —Dublin, County Dublin
- Full-time
- Computer science
- Computer Science
- Salesforce
Business Support Engineer - BizAI
Meta —Dublin, County Dublin
- Weekend availability
- Master's degree
- SQL
- JavaScript
AI Builder Emerging Talent, Manager - Public Sector, NonProfit & Education
Salesforce —Dublin, County Dublin
- Full-time
- Computer science
- Computer Science
- Salesforce
Software Development Manager, Network Capacity Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- Java
- AWS
Senior AI Large Language Model (LLM) Architect
Accenture —Dublin, County Dublin
- Full-time
- Master's degree
- Bachelor's degree
- AI
Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- DevOps
- Java
- AWS
9d
System Development Engineer II, Enterprise Productivity MailBoxCore Team
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- Java
Senior Lead SRE (DSS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Oracle
- Java
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
Linux/Embedded Firmware Engineer
Full Stack Energy —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- English
Quick apply
Principal Engineer, Design Verification Engineering
Analog Devices —Dublin, County Dublin
- Full-time
- Master's degree
- Scripting
- Electrical Engineering
- Relocation assistance
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
Engineering Manager
Cylynt —Dublin, County Dublin
- Full-time
- Remote
- Oracle
- Agile
- Python
Quick apply
Technical Product Manager - Agentforce Service Cloud
Salesforce —Dublin, County Dublin
- Full-time
- DevOps
- Java
- Analysis skills
5d
Sr. Manufacturing Engineer – Test Support , Hardware Engineering - Manufacturing
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- System design
- Java
- AWS

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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

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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 python jobs in dublin, d

AI Native SW Engineer - Manager

AI Infrastructure Architect

Lead Site Reliability Engineer

Network Development Engineer, Network - Core

Sr. Lead Security Engineer

AI Builder, Emerging Talent Senior Manager

Business Support Engineer - BizAI

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

Software Development Manager, Network Capacity Services

Senior AI Large Language Model (LLM) Architect

Lead Security Engineer

System Development Engineer II, Enterprise Productivity MailBoxCore Team

Senior Lead SRE (DSS)

Senior Manager of Data Engineering

Linux/Embedded Firmware Engineer

Principal Engineer, Design Verification Engineering

Senior Applied Scientist, AWS Security

Engineering Manager

Technical Product Manager - Agentforce Service Cloud

Sr. Manufacturing Engineer – Test Support , Hardware Engineering - Manufacturing

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