Hiring: Founding AI Deployment Director

Hiring: Founding AI Deployment Director

Full-Time 81000 - 99000 £ / year (est.) Home office (partial)
PA Consulting

At a Glance

  • Tasks: Lead AI deployment projects and shape innovative service propositions for top clients.
  • Company: Join PA Consulting, a global leader in consulting with a focus on AI.
  • Benefits: Enjoy a hybrid work setup, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with FTSE 100 clients and guide teams through exciting challenges.
  • Why this job: Be at the forefront of AI technology and make a significant impact in a dynamic environment.
  • Qualifications: Experience in AI deployment and strong leadership skills are essential.

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

PA Consulting is seeking a Consulting Director to lead the Forward Deployed Engineers (FDE) unit, building a scalable AI deployment capability within a global firm. You’ll recruit, design, and govern the operating model, stand up model tooling, and drive client outcomes with domain-adapted language models and DALMs. You’ll work in a hybrid setup, collaborating with FTSE 100 clients, shaping new service propositions, and guiding teams through rapid growth and complex engagements.

Hiring: Founding AI Deployment Director employer: PA Consulting

At PA Consulting, we pride ourselves on being an exceptional employer in Greater London, offering a dynamic and collaborative work culture that fosters innovation and strategic growth. Our employees enjoy flexible working arrangements, generous leave policies, and comprehensive health benefits, all while having the opportunity to develop their careers in a supportive environment that values expertise in Google Cloud and industry-specific knowledge.

PA Consulting

Contact Details:

PA Consulting Recruitment Team

We think you need these skills to ace Hiring: Founding AI Deployment Director

Leadership Skills
AI Deployment
Recruitment
Operating Model Design
Model Tooling
Client Engagement
Domain-Adapted Language Models