AI Transformation Engineer for Enterprises

AI Transformation Engineer for Enterprises

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Cititec

At a Glance

  • Tasks: Design workflows and integrate tools to drive AI transformations in enterprises.
  • Company: Join Cititec, a leader in AI engineering consultancy in Greater London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic role with exposure to senior technical leaders and cutting-edge technology.
  • Why this job: Be at the forefront of AI innovation and make a real impact in engineering.
  • Qualifications: Hands-on software engineering experience and problem-solving skills.

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

Cititec is seeking a Forward Deployed Engineer to work with leading AI engineering consultancies in Greater London. In this role, you will engage with senior technical leaders to implement AI-native engineering transformations across enterprise environments.

The ideal candidate should be hands-on in software engineering while addressing broader organizational challenges.

Key responsibilities include:

  • Designing new workflows
  • Integrating tooling
  • Driving the adoption of AI advancements in engineering practices

AI Transformation Engineer for Enterprises employer: Cititec

Cititec is an exceptional employer that fosters a dynamic work culture in the heart of Greater London, where innovation meets collaboration. Employees benefit from continuous professional development opportunities and are encouraged to engage with cutting-edge AI technologies, making a meaningful impact on enterprise transformations. With a focus on employee well-being and a supportive environment, Cititec stands out as a rewarding place to advance your career in AI engineering.

Cititec

Contact Details:

Cititec Recruitment Team

We think you need these skills to ace AI Transformation Engineer for Enterprises

Software Engineering
AI Engineering
Workflow Design
Tool Integration
AI Adoption
Technical Leadership Engagement
Organisational Challenge Addressing