Production AI Agentic Systems Engineer in London

Production AI Agentic Systems Engineer in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Accenture UK

At a Glance

  • Tasks: Design and implement cutting-edge AI systems for enterprise technology.
  • Company: Accenture UK, a leader in innovative technology solutions.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and client service.
  • Why this job: Join a diverse team and shape the future of AI technology.
  • Qualifications: Experience in software engineering and knowledge of LLMs required.

The predicted salary is between 70000 - 90000 Β£ per year.

Accenture UK is seeking an experienced AI Engineer to design, build, and implement production-grade agentic AI systems across enterprise technology stacks. This role requires extensive software engineering experience, deep knowledge of LLMs, and proven abilities in cloud-native environments.

The ideal candidate will work closely with client teams and create reusable patterns to facilitate scalable solutions. A commitment to inclusivity and diversity is also key, fostering innovation and better client service.

Production AI Agentic Systems Engineer in London 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 Production AI Agentic Systems Engineer in London

AI Engineering
Software Engineering
LLMs (Large Language Models)
Cloud-Native Environments
Scalable Solutions
Reusable Patterns
Client Collaboration