Lead Production AI Engineer β€” Agentic Systems

Lead Production AI Engineer β€” Agentic Systems

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Accenture UK

At a Glance

  • Tasks: Design and deploy cutting-edge AI systems while leading engineering teams.
  • Company: Join Accenture UK, a leader in innovative technology solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on collaboration and innovation.
  • Why this job: Be at the forefront of AI technology and make a significant impact.
  • Qualifications: Experience with AI frameworks, LLM APIs, and cloud technologies required.

The predicted salary is between 80000 - 100000 Β£ per year.

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

You will work with client engineering teams, lead design sessions, and develop reusable patterns that scale beyond engagements.

The role requires hands-on experience with agentic orchestration frameworks, LLM APIs in production, and cloud-native tech (Kubernetes, Docker).

Leadership within engineering teams is valued. #J-18808-Ljbffr

Lead Production AI Engineer β€” Agentic Systems employer: Accenture UK

As a leading employer in the AI technology sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities, mentorship programmes, and the chance to work alongside industry leaders on cutting-edge projects. Located in a vibrant tech hub, we provide a unique blend of competitive benefits, a supportive culture, and the opportunity to make a significant impact in the rapidly evolving field of AI.

Accenture UK

Contact Details:

Accenture UK Recruitment Team

We think you need these skills to ace Lead Production AI Engineer β€” Agentic Systems

Agentic Orchestration Frameworks
LLM APIs
Cloud-Native Technologies
Kubernetes
Docker
Design Skills
Development of Reusable Patterns