Find Sr applied Jobs in Kill, Ke

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
7d
Senior Manager of SRE
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Oracle
- Java
13d
Biopharma Production Specialist
Avantor —Dublin, County Dublin
- Full-time
- Manufacturing
13d
Planning Manager
Designer Group —Ballycoolen, County Dublin
- €90,000–€120,000 a year
- Full-time
- Hybrid work
- Engineering
- Analysis skills
- Construction experience
Quick apply
Software Architect
Holafly —Dublin, County Dublin
- Remote
- Spanish
- System design
- English
Senior Software Engineer
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
- Annual leave
- Employee assistance program
Quick apply
14d
Head of Health & Safety
Harris Group —DUBLIN 12, County Dublin
- Leadership
- Annual leave
Quick apply
Senior Product Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- JavaScript
- No degree
- Annual leave
- Work from home
Software Development Manager, ICON
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- Team management
- Mentoring
Senior B2B Software Sales Executive
MaxAccelerate —Dublin, County Dublin
- Hybrid work
- Sales
- AI
- Analytics
Quick apply
Senior Data Engineer
ZoomInfo Technologies LLC —Dublin, County Dublin
- On call
- Remote
- Computer Science
- Master's degree
- SQL
6d
Revenue Operations Manager
Fivetran —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Sales
- SQL
- Annual leave
- Sick pay
Quick apply
13d
AI Software Architect – Dublin, Ireland (Hybrid)
Hadfield Green —DUBLIN 2, County Dublin
- System design
- Master's degree
- AI
Design Coordinator, Rail – Dublin
WSP —Dublin, County Dublin
- Part-time
- Hybrid work
- Engineering
- Analysis skills
- Organisational skills
- Work from home
- Gym membership
10d
Technical Accounting Manager
SumUp —Dublin, County Dublin
- Finance
- Master's degree
- Accounting
- Annual leave
- Referral programme
Quick apply
1d
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
6d
Senior Electrical Estimator
Leo Lynch —Dublin, County Dublin
- Full-time
- Microsoft Office
- Analysis skills
- No degree
Quick apply
Senior Mechanical Estimator
Leo Lynch —Dublin, County Dublin
- Full-time
- Microsoft Office
- Analysis skills
- Organisational skills
Quick apply
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply

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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
7 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

sr applied jobs in kill, ke

AI Native SW Engineer - Manager

Senior Manager of SRE

Biopharma Production Specialist

Planning Manager

Software Architect

Senior Software Engineer

Head of Health & Safety

Senior Product Engineer

Software Development Manager, ICON

Senior B2B Software Sales Executive

Senior Data Engineer

Revenue Operations Manager

AI Software Architect – Dublin, Ireland (Hybrid)

Design Coordinator, Rail – Dublin

Technical Accounting Manager

Director of Software Engineering - Workplace Technology

Senior Electrical Estimator

Senior Mechanical Estimator

Principal Data Scientist

Director, Game Science & Insights

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