Wanted: Lead GenAI Architect for Enterprise Planning

Wanted: Lead GenAI Architect for Enterprise Planning

Full-Time 81000 - 99000 Β£ / year (est.) No working from home possible
Anaplan Inc

At a Glance

  • Tasks: Design and lead innovative GenAI systems for enterprise planning workflows.
  • Company: Anaplan Inc., a forward-thinking tech company in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on cutting-edge technology.
  • Why this job: Shape the future of AI in enterprise planning and make a significant impact.
  • Qualifications: Experience in AI architecture and strong leadership skills.

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

Anaplan Inc. in London is seeking a Principal AI Architect to design and lead next-generation GenAI and Agentic AI systems for enterprise planning workflows. You will shape architecture patterns, define APIs, and mentor engineering teams building production-grade AI solutions. You will collaborate with data science and product teams to translate forecasting models into scalable, secure architectures, while ensuring observability, performance, and reliability across the platform.

Wanted: Lead GenAI Architect for Enterprise Planning employer: Anaplan Inc

Anaplan Inc is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. As a Customer Success Director in the UKI, you will benefit from a collaborative environment that encourages innovation and provides opportunities for meaningful impact on customer experiences. With a focus on driving adoption and growth, Anaplan supports its employees with comprehensive training and travel opportunities to connect with clients across the region.

Anaplan Inc

Contact Details:

Anaplan Inc Recruitment Team

We think you need these skills to ace Wanted: Lead GenAI Architect for Enterprise Planning

GenAI Architecture
Agentic AI Systems
API Design
Mentoring Engineering Teams
Production-Grade AI Solutions
Collaboration with Data Science Teams
Scalable Architecture