Azure Cloud Architect: Lead Infra & AI Initiatives in Oxford

Azure Cloud Architect: Lead Infra & AI Initiatives in Oxford

Oxford Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Harnham

At a Glance

  • Tasks: Lead Azure infrastructure and drive AI initiatives in a consultancy-led environment.
  • Company: Harnham, an innovative tech consultancy based in Oxford.
  • Benefits: Hybrid working model, comprehensive benefits, and strong focus on professional development.
  • Other info: Exciting career growth opportunities in a fast-paced tech landscape.
  • Why this job: Join a dynamic team and work on cutting-edge cloud and AI projects.
  • Qualifications: Experience in Azure architecture and a passion for AI solutions.

The predicted salary is between 60000 - 80000 Β£ per year.

Harnham, based in Oxford, is offering an exciting opportunity to join their consultancy-led technology business focusing on cloud and AI-driven solutions. This role entails taking ownership of Azure infrastructure and contributing towards architectural decisions and long-term platform strategy.

Join a dynamic environment that emphasizes professional development, and work on cutting-edge cloud and AI projects while enjoying a hybrid working model and a comprehensive benefits package.

Azure Cloud Architect: Lead Infra & AI Initiatives in Oxford employer: Harnham

Harnham is an exceptional employer that fosters a dynamic work culture, encouraging innovation and professional growth in the rapidly evolving fields of cloud and AI. With a hybrid working model and a comprehensive benefits package, employees are empowered to thrive while contributing to impactful projects in a supportive environment located in the vibrant city of Oxford.

Harnham

Contact Details:

Harnham Recruitment Team

We think you need these skills to ace Azure Cloud Architect: Lead Infra & AI Initiatives in Oxford

Azure Infrastructure Management
Cloud Architecture
AI Solutions Development
Architectural Decision-Making
Platform Strategy Development
Professional Development
Hybrid Working Model Adaptability