Agentic AI Systems Engineer (Production)

Accenture UK & Ireland

Dublin

On-site

EUR 90,000 - 130,000

Full time

2 days ago
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Job summary

Accenture UK & Ireland is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the enterprise technology stack. You will work with client engineering teams, lead design sessions, and create reusable patterns and accelerators that scale beyond individual engagements.

This role emphasizes hands-on production experience with agentic AI, LLM APIs, and end-to-end lifecycle observability, with opportunities across multiple industry stacks and

Qualifications

  • Extensive experience in software engineering in production environments.
  • Minimum 1 year hands-on experience designing and deploying agentic AI solutions in production.
  • Experience with agentic orchestration frameworks (LangGraph, CrewAI, AutoGen) at production depth.
  • Direct production experience calling LLM APIs (OpenAI, Anthropic, Vertex AI).
  • RAG pipeline ownership: embeddings, chunking, vector databases, context engineering.
  • LLMOps fundamentals: eval harness design, prompt versioning, production observability.

Responsibilities

  • Architect and govern production-grade agentic systems at enterprise scale.
  • Define RAG pipeline standards across engagements.
  • Set multi-LLM integration standards across providers.
  • Own LLMOps at programme scale: eval strategy, prompt governance, observability.
  • Lead client engineering engagements at senior level and drive architecture sessions.
  • Publish reusable patterns and accelerators for the practice.
  • Own the measurement framework for agentic system quality.

Skills

Python
Java
Production debugging
Observability
LLM APIs production
Agentic AI
Kubernetes
Docker
CI/CD
IaC
Pipelines
Cloud-native
Team leadership

Tools

LangGraph
CrewAI
AutoGen
OpenAI
Vertex AI
Kubernetes
Docker
Terraform
Helm

Job description

Accenture UK & Ireland is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the enterprise technology stack. You will work with client engineering teams, lead design sessions, and create reusable patterns and accelerators that scale beyond individual engagements.

This role emphasizes hands-on production experience with agentic AI, LLM APIs, and end-to-end lifecycle observability, with opportunities across multiple industry stacks and

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