AI Agentic Systems Lead (Production-Grade)

AI Agentic Systems Lead (Production-Grade)

Full-Time 81000 - 99000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deploy cutting-edge AI systems while leading client technical sessions.
  • Company: Join Accenture, a leader in innovative technology solutions.
  • Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with endless learning opportunities.
  • Why this job: Be at the forefront of AI technology and make a significant impact.
  • Qualifications: Experience with AI orchestration, LLM APIs, and production environments.

The predicted salary is between 81000 - 99000 Β£ per year.

Accenture is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across enterprise tech stacks.

You will lead technical design sessions with client teams and develop reusable patterns that scale beyond individual engagements.

The role emphasizes hands-on experience with agentic orchestration, LLM APIs, RAG pipelines, and LLMOps in production, working across Open AI, Anthropic, Vertex AI, and open-source models.

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AI Agentic Systems Lead (Production-Grade) employer: Accenture Infrastructure and Capital Projects, LLC

Accenture is an exceptional employer, offering a dynamic work culture in the heart of London where innovation thrives. With a strong emphasis on employee growth, you will have access to ongoing learning opportunities and certifications that empower you to excel in your role as a Senior AI & Data Architect. Join a collaborative team that values leadership and creativity, making a meaningful impact on complex business challenges through cutting-edge cloud solutions.

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Contact Details:

Accenture Infrastructure and Capital Projects, LLC Recruitment Team

We think you need these skills to ace AI Agentic Systems Lead (Production-Grade)

AI Engineering
Agentic Orchestration
LLM APIs
RAG Pipelines
LLMOps
Technical Design
Enterprise Tech Stacks