Enterprise AI Solution Engineer – Onsite Contract in London

Enterprise AI Solution Engineer – Onsite Contract in London

London Full-Time 156000 - 164000 Β£ / year (est.) No working from home possible
SJIT

At a Glance

  • Tasks: Build AI-enabled enterprise applications and mentor junior developers.
  • Company: SJIT, a leading tech firm in London with a focus on innovation.
  • Benefits: Competitive day rate, hands-on experience, and opportunity to work with cutting-edge AI technology.
  • Other info: Fully onsite role with a vibrant work culture and growth potential.
  • Why this job: Join a dynamic team and make an impact in the AI space while developing your skills.
  • Qualifications: Experience in Python and JavaScript, plus a passion for AI solutions.

The predicted salary is between 156000 - 164000 Β£ per year.

SJIT in London is hiring a Solutions Engineer for Enterprise AI on a 6-month contract. The role is fully onsite five days a week, with a day rate of Β£650–£700 inside IR35.

You will build AI-enabled enterprise applications using Python and JavaScript, run technical demos, perform training for clients, and mentor junior developers while feeding customer insights back to the core platform.

Enterprise AI Solution Engineer – Onsite Contract in London employer: SJIT

Join a leading insurance organisation in Macclesfield as a D365 CE Functional Consultant, where you will thrive in a hybrid work environment that promotes collaboration and innovation. The company values employee growth, offering opportunities to lead impactful projects while bridging the gap between business and technology. With a strong focus on work-life balance and a supportive culture, this role provides a meaningful chance to contribute to customer journeys and service operations in a dynamic sector.

SJIT

Contact Details:

SJIT Recruitment Team

We think you need these skills to ace Enterprise AI Solution Engineer – Onsite Contract in London

Python
JavaScript
AI-enabled application development
Technical Demos
Client Training
Mentoring
Customer Insights Analysis