Lead Agentic AI Engineer β€” Production LLMs in Crawley

Lead Agentic AI Engineer β€” Production LLMs in Crawley

Crawley Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Rentokil Initial Group

At a Glance

  • Tasks: Lead the development of agentic AI solutions and mentor a talented team.
  • Company: Join Rentokil Initial Group, a leader in innovative technology.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with excellent career advancement potential.
  • Why this job: Shape the future of AI while making a real impact across regions.
  • Qualifications: Proven experience in AI engineering and strong leadership skills.

The predicted salary is between 80000 - 100000 Β£ per year.

Rentokil Initial Group is hiring a technically hands-on leader for the Group AI Team to architect, build and scale agentic AI solutions.

You will bridge business needs with engineering, mentor a team of AI engineers and data scientists while delivering scalable use cases across regions.

You will drive MVP-to-production transitions, define best practices, and collaborate with enterprise architecture to ensure secure, compliant deployments.

#J-18808-Ljbffr

Lead Agentic AI Engineer β€” Production LLMs in Crawley employer: Rentokil Initial Group

Rentokil Initial Group is an excellent employer, offering a dynamic work culture that prioritises health and safety compliance while fostering professional growth. Located in Harrow, employees benefit from a competitive salary, a comprehensive benefits package including a company vehicle, and ample opportunities for career advancement within a supportive team environment.

Rentokil Initial Group

Contact Details:

Rentokil Initial Group Recruitment Team

We think you need these skills to ace Lead Agentic AI Engineer β€” Production LLMs in Crawley

AI Solutions Architecture
Team Leadership
Mentoring
MVP-to-Production Transition
Best Practices Definition
Collaboration with Enterprise Architecture
Scalable Use Case Development