Find Stack software engineer team lead, charles river development, assistant vice Jobs in Dublin, D

AI Native SW Engineering Consultant
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Financial Reporting, Off
State Street —Dublin, County Dublin
- Full-time
- Finance
- No degree
- Business
Global Financial Crimes Specialist – Technology Support
Bank of America —Dublin, County Dublin
- Full-time
- Analysis skills
- Project management
- Organisational skills
- Employee assistance program
Assistant Vice President, Client & Product Transformation
Citco —Dublin, County Dublin
- Full-time
- Master's degree
- Business development
- Analysis skills
Engineering Manager
Cylynt —Dublin, County Dublin
- Full-time
- Remote
- Oracle
- Agile
- Python
Quick apply
Technical Product Manager - Investments
Marsh —Dublin, County Dublin
- Full-time
- Management
- Project management
- Organisational skills
Global Financial Crimes Senior Investigator
Bank of America —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Bachelor's degree
- No degree
- Employee assistance program
Engineering Director
Fiserv —Dublin, County Dublin
- Full-time
- Java
- AWS
Mechanical Engineer
Applied Materials —Dublin, County Dublin
- Full-time
- CAD
- Engineering
- System design
Executive Assistant
Johnson Controls —Dublin, County Dublin
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Microsoft Outlook
Senior Engineering Manager, API Hub
Bentley Systems —DUBLIN 2, County Dublin
- Communication skills
Manager, Engineering
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- Java
- AWS
Staff Technical Program Manager, Site Reliability Engineering
MongoDB —Dublin, County Dublin
- Remote
- Azure
- AWS
- SDLC
Director of Business Operations
Horizon Quantum Computing —Dublin, County Dublin
- Full-time
- Doctoral degree
- Bachelor's degree
- Business
10d
Senior Product Manager, Messenger
Intercom —Dublin, County Dublin
- Hybrid work
- Work from home
Partner Technical Architect - Agentforce
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- AI
Automation Engineer DeltaV
Cognizant —Dublin, County Dublin
- Full-time
- Hybrid work
- No degree
International Wealth Investor Relations - Associate / AVP
Kohlberg Kravis Roberts & Co. —Dublin, County Dublin
- English
- No degree
Senior Product Security Engineer, Server
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- AWS
- C++
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply

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AI Native SW Engineering Consultant

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

Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability

Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets

Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management

Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring

Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs

Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster

Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

Software engineering experience 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

#LI-EU

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Refine Your Search

stack software engineer team lead, charles river development, assistant vice jobs in dublin, d

AI Native SW Engineering Consultant

Financial Reporting, Off

Global Financial Crimes Specialist – Technology Support

Assistant Vice President, Client & Product Transformation

Engineering Manager

Technical Product Manager - Investments

Global Financial Crimes Senior Investigator

Engineering Director

Mechanical Engineer

Executive Assistant

Senior Engineering Manager, API Hub

Manager, Engineering

Staff Technical Program Manager, Site Reliability Engineering

Director of Business Operations

Senior Product Manager, Messenger

Partner Technical Architect - Agentforce

Automation Engineer DeltaV

International Wealth Investor Relations - Associate / AVP

Senior Product Security Engineer, Server

Data Engineer

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