Find Sr applied Jobs in Kill, Ke

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
8d
Creative Lead - Associate Creative Director, Flex Creative
Salesforce —Dublin, County Dublin
- Full-time
- Bachelor's degree
- AI
- Marketing
5h
Principal AI/ML Scientist & Engineer
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- AWS
- Mentoring
- Relocation assistance
- Annual leave
Quick apply
11d
Mechanical Engineer
Applied Materials —Dublin, County Dublin
- Full-time
- CAD
- Engineering
- System design
AI Engineer
CR2 —Dublin, County Dublin
- Hybrid work
- Computer Science
- Java
- SQL
Quick apply
QC Senior Specialist, Operations (12 month fixed term contract)
AstraZeneca —Dublin, County Dublin
- Weekend availability
- Bachelor's degree
- No degree
- Organisational skills
10d
Senior Full Stack Engineer
ZeroRisk —Dublin, County Dublin
- Full-time
- Remote
- Java
- AWS
9d
Monitoring and Performance Assessment Manager (SEO Grade)
Irish Medical Council —Dublin, County Dublin
- €60,029 a year
- Full-time
- Hybrid work
- Project management
- IT
- Annual leave
- Employee assistance program
Quick apply
14d
Senior Manager of SRE
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Oracle
- Java
14d
Sr Lead Cybersecurity Architect
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Customer service
- Leadership
- Communication skills
13d
Procurement Category Manager – Marketing (12-month FTC, Maternity Cover)
Primark —Dublin, County Dublin
- Contracts
- Marketing
- Negotiation
Technical Migration Delivery Sr Lead - Data 360 or Tableau Cloud
Salesforce —Dublin, County Dublin
- Full-time
- Sales
- Salesforce
- No degree
9d
Technical Migration Delivery Sr Lead - Marketing or Revenue Cloud
Salesforce —Dublin, County Dublin
- Full-time
- Sales
- Salesforce
- No degree
9d
Senior Software Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- JavaScript
- No degree
- Annual leave
- Work from home
Principal Architect - ServiceNow/Cloud - Executive Director
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Java
- AWS
- Leadership
Commercial Manager – NEC4 (Multi‑Project Portfolio)
AtkinsRéalis —Dublin, County Dublin
- Full-time
- Hybrid work
- Analysis skills
- Contracts
Engineering Manager
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Annual leave
- Employee assistance program
Quick apply
Senior Core Technologies Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
Health Care Assistant - Theatre
Beacon Hospital —Dublin, County Dublin
- Full-time
- Nursing
- Clinic
- No degree
Quick apply
HR Director
Circit Limited —Dublin, County Dublin
- Full-time
- Hybrid work
- Bachelor's degree
- Continuous improvement
- Human resources
Quick apply

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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
8 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

Creative Lead - Associate Creative Director, Flex Creative

Principal AI/ML Scientist & Engineer

Mechanical Engineer

AI Engineer

QC Senior Specialist, Operations (12 month fixed term contract)

Senior Full Stack Engineer

Monitoring and Performance Assessment Manager (SEO Grade)

Senior Manager of SRE

Sr Lead Cybersecurity Architect

Procurement Category Manager – Marketing (12-month FTC, Maternity Cover)

Technical Migration Delivery Sr Lead - Data 360 or Tableau Cloud

Technical Migration Delivery Sr Lead - Marketing or Revenue Cloud

Senior Software Engineer

Principal Architect - ServiceNow/Cloud - Executive Director

Commercial Manager – NEC4 (Multi‑Project Portfolio)

Engineering Manager

Senior Core Technologies Engineer

Health Care Assistant - Theatre

HR Director

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