Find Lead software engineer python Jobs in Dublin 2, D

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Senior Network Engineer
Salesforce —Dublin, County Dublin
- Full-time
- Engineering
- Analysis skills
- No degree
Enterprise Operations Engineer II
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- SQL
19h
Principal Software Engineering Manager - Identity
Microsoft —Dublin, County Dublin
- €99,800–€172,400 a year
- Full-time
- Microsoft Access
- Azure
- Computer Science
Lead Software Engineer - Financial Wellness
Gen Digital Inc. —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- Java
- AWS
Quick apply
Lead Software Engineer (DevOps)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
Hardware Solutions Engineer
AMAX —Dublin, County Dublin
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
Quick apply
Lead Cloud Engineer
Sprinklr —Dublin, County Dublin
- Full-time
- Azure
- Management
- Social media management
- Annual leave
Senior Backend Engineer
Rain Technologies Inc. —Dublin, County Dublin
- Full-time
- Remote
- Azure
- SQL
- AWS
Quick apply
Senior Software Engineer (Innovation & Prototyping)
Bentley Systems —DUBLIN 2, County Dublin
- Azure
- Computer Science
- Java
Defect Analysis Systems Engineer
Intel —Leixlip, County Kildare
- €59,200–€111,300 a year
- Full-time
- Customer service
- Engineering
- Data analysis skills
3d
Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
Manager, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- English
- Java
Technical Support Engineer
Sprinklr —Dublin, County Dublin
- Full-time
- Spanish
- Microsoft Excel
- Management
- Annual leave
Principal Software Engineer — Cloud Agentic AI Platform
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Java
- Master's degree
7d
Lead AI Platform Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
10d
Director of Software Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Java
- C++
- Mentoring
Application Support Engineer
Millennium Management —Dublin, County Dublin
- Computer Science
- Java
- AWS
Senior Data Engineer
ZoomInfo Technologies LLC —Dublin, County Dublin
- On call
- Remote
- Computer Science
- Master's degree
- SQL
Sr Lead Infrastructure Engineer (Workplace Solutions)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Windows
- Java

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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 python jobs in dublin 2, d

AI Native SW Engineer - Manager

Senior Network Engineer

Enterprise Operations Engineer II

Principal Software Engineering Manager - Identity

Lead Software Engineer - Financial Wellness

Lead Software Engineer (DevOps)

Hardware Solutions Engineer

Lead Cloud Engineer

Senior Backend Engineer

Senior Software Engineer (Innovation & Prototyping)

Defect Analysis Systems Engineer

Applied Scientist, AI Ops Integration

Manager, Software Engineering

Technical Support Engineer

Principal Software Engineer — Cloud Agentic AI Platform

Lead AI Platform Engineer

Director of Software Engineering

Application Support Engineer

Senior Data Engineer

Sr Lead Infrastructure Engineer (Workplace Solutions)

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