Lead Agentic AI Engineer - Production-Scale Systems

Accenture PLC

Newcastle

On-site

AUD 180,000 - 240,000

Full time

4 days ago
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Job summary

Accenture is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI solutions across the full enterprise tech stack. You will work directly with client engineering teams, lead design sessions, and develop reusable patterns that scale beyond individual engagements.

This role sits at the heart of the AI engineering market, offering breadth across industries and collaborations with major AI providers.

Qualifications

  • Experience shipping multi-agent solutions in production.
  • Ownership of evaluation harness and deployment processes.
  • Experience with production observability and monitoring.
  • Direct experience calling LLM APIs in production code.
  • Strong Python and backend development experience.

Responsibilities

  • Design and build production-grade agentic solutions end-to-end.
  • Lead RAG pipelines and vector search integration.
  • Integrate across LLM providers with cost and latency management.
  • Implement LLMOps, eval harnesses, and prompt versioning.
  • Collaborate with client teams and drive architecture sessions.
  • Develop reusable patterns and playbooks for scale.
  • Define metrics on accuracy, latency, safety, and cost-effectiveness.
  • Maintain cloud-native stack with Kubernetes, Docker, CI/CD, IaC.
  • Produce production-grade observability and debugging.
  • Experience with agentic orchestration frameworks production depth.

Skills

Production-grade AI
Agentic AI
Python
Java or backend
Kubernetes
Docker
LLMOps
LangGraph
CrewAI
AutoGen
OpenAI
Anthropic
Vertex AI
LLM APIs
Production debugging

Tools

LangGraph
CrewAI
AutoGen
OpenAI
Anthropic
Vertex AI

Job description

Accenture is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI solutions across the full enterprise tech stack. You will work directly with client engineering teams, lead design sessions, and develop reusable patterns that scale beyond individual engagements.

This role sits at the heart of the AI engineering market, offering breadth across industries and collaborations with major AI providers.

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