AI Architect for Revenue Growth

AI Architect for Revenue Growth

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Design and implement AI systems to boost revenue and streamline workflows.
  • Company: Dormont Manufacturing Co., a forward-thinking company focused on innovation.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a collaborative environment with significant career advancement potential.
  • Why this job: Join a dynamic team and lead the charge in AI-driven transformation.
  • Qualifications: Experience in AI engineering and a passion for data analytics.

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

Dormont Manufacturing Co. is seeking an AI Architect to partner with the executive team, building production AI systems and commercial analytics to automate workflows and surface insights across Sales, Marketing and Customer Success. You will own the commercial data ecosystem and an AI-first approach to transform how teams operate. This hands-on role combines AI engineering (LLMs, models, automation) with foundational analytics, delivering robust data infrastructure and AI capabilities.

AI Architect for Revenue Growth employer: Dormont Manufacturing Co

Dormont Manufacturing Co is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee growth, the company provides extensive training opportunities and a comprehensive benefits package, all while supporting a flexible hybrid work model that enhances work-life balance. Join us in shaping the future of lottery solutions in a role that promises meaningful impact and professional development.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

We think you need these skills to ace AI Architect for Revenue Growth

AI Engineering
Large Language Models (LLMs)
Automation
Commercial Analytics
Data Ecosystem Management
Data Infrastructure Development
AI Capabilities Implementation