Senior AI Platform Engineer & Architect β€” Hybrid

Senior AI Platform Engineer & Architect β€” Hybrid

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Client Server

At a Glance

  • Tasks: Lead the evolution of AI-enabled software delivery and build core platform capabilities.
  • Company: Client Server, a forward-thinking tech company based in Reigate.
  • Benefits: Competitive salary, comprehensive benefits, and flexible hybrid working model.
  • Other info: Join a dynamic team with opportunities for professional growth.
  • Why this job: Drive innovation in AI tooling and make a significant impact across engineering teams.
  • Qualifications: Experience in AI platforms and strong leadership skills.

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

Client Server is seeking a Principal AI Platform Engineer / Architect based in Reigate with a flexible hybrid working model. The role offers a competitive salary and comprehensive benefits tailored for senior engineers driving AI-enabled software delivery.

You will lead the evolution of the AI-enabled SDLC, build core platform capabilities, and establish practices for scalable, secure AI tooling across engineering teams.

#J-18808-Ljbffr

Senior AI Platform Engineer & Architect β€” Hybrid employer: Client Server

Client Server is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With competitive salaries, comprehensive benefits including life assurance and a wellness package, and the flexibility to work from home, employees are empowered to thrive both personally and professionally. Join a highly profitable Hedge Fund where your skills will be valued, and you will have ample opportunities for career progression in a senior role.

Client Server

Contact Details:

Client Server Recruitment Team

We think you need these skills to ace Senior AI Platform Engineer & Architect β€” Hybrid

AI Platform Engineering
Software Development Life Cycle (SDLC)
Core Platform Capabilities Development
Scalable AI Tooling
Security Practices in AI
Leadership Skills
Cross-Functional Collaboration