Azure AI Solution Architect β€” Lead GenAI & Enterprise Deployments

Azure AI Solution Architect β€” Lead GenAI & Enterprise Deployments

Full-Time 81000 - 99000 Β£ / year (est.) Home office (partial)
Shareforce

At a Glance

  • Tasks: Lead Azure AI architectural design and mentor AI engineers in innovative projects.
  • Company: Shareforce, a forward-thinking UK-based tech firm.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a dynamic team in a hybrid work environment with exciting challenges.
  • Why this job: Shape the future of AI while making a real impact in enterprise and public sectors.
  • Qualifications: Experience in Azure AI architecture and strong leadership skills.

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

Shareforce, a UK-based firm, is recruiting an experienced Solution Architect to lead Azure AI architectural design across enterprise and public sector programmes.

You will guide discovery through production, advising on Generative AI usage, agentic AI and ML while ensuring security, supportability and cost control.

Role involves mentoring AI engineers, shaping reusable Azure AI patterns, and providing technical leadership across delivery teams in a hybrid UK setting.

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Azure AI Solution Architect β€” Lead GenAI & Enterprise Deployments employer: Shareforce

At ShareForce, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Budock Water. Our commitment to employee growth is evident through tailored development programmes and the chance to engage with significant national projects, ensuring that our team members not only excel in their roles but also advance their careers in meaningful ways.

Shareforce

Contact Details:

Shareforce Recruitment Team

We think you need these skills to ace Azure AI Solution Architect β€” Lead GenAI & Enterprise Deployments

Azure AI Architectural Design
Generative AI
Agentic AI
Machine Learning (ML)
Security Best Practices
Supportability
Cost Control