Production AI Engineering Lead - Agentic Systems

Accenture

Newcastle

On-site

GBP 90,000 - 140,000

Full time

14 days+
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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 collaborate with client teams, lead design sessions, and develop scalable patterns and accelerators for broader adoption.

You will govern SDLC processes for agentic AI, manage LLM integrations, and drive measurable business impact with safety and cost controls across multiple projects in production environments.

Qualifications

  • Production experience in enterprise AI deployments.
  • Shipped multi-agent production systems.
  • Experience with agentic orchestration frameworks.
  • Experience with LLM APIs in production.
  • Knowledge of SDLC for AI projects.

Responsibilities

  • Architect and govern production-grade agentic solutions at enterprise scale.
  • Define RAG pipelines, embedding strategies, quality benchmarks.
  • Set multi-LLM integration standards across providers.
  • Own LLMOps, including evaluation, governance, observability.
  • Lead client engineering engagements at senior level.
  • Publish reusable patterns and engineering standards.
  • Define programme-level AI impact metrics.
  • Collaborate with client teams to align tech leadership.

Skills

Production-grade software
Agentic AI systems
LLMOps & governance
RAG pipelines
LLM API integration
Python
Java

Tools

Kubernetes
Docker
Terraform
OpenAI API
Anthropic API

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 collaborate with client teams, lead design sessions, and develop scalable patterns and accelerators for broader adoption.

You will govern SDLC processes for agentic AI, manage LLM integrations, and drive measurable business impact with safety and cost controls across multiple projects in production environments.

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