AI Automation Developer

Dentons Business Services EMEA is the operational backbone of Dentons, supporting the world's largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. The EMEA business services team drives efficiency, innovation, and collaboration, providing services including finance, IT, human resources, and marketing.

Education:

• Bachelor’s degree, preferably in computer science, IT, or related technical field (or equivalent experience).

Experience:

• Hands-on experience with AI tools and technologies.
• Experience working in tech teams or technical implementations is a plus.

Mandatory technical skills:

• Very good knowledge of AI and experience in engineering AI solutions (workflows, RAGs, prompting, parameters, models, context etc.).
• Experience with any low-code / no-code solutions (Microsoft AI tools preferred; n8n or Zapier is also a plus).
• Analytical thinking.
• Ability to come up with AI-driven solutions to solve business problems.
• Advanced proficiency in Microsoft Office Suite, especially Microsoft Excel.
• Excellent written and verbal communication skills in English with the ability to communicate effectively across tech and business teams and stakeholders.

Nice to have technical skills:

• Experience with PowerBI, ETL, data modelling.
• Experience with coding assistants (e.g. Claude Code, Lovable).
• Data handling and analysis (e.g. PowerQuery).
• Demonstrated experience building process automations (even without AI).

• Supporting the development and deployment lifecycle of DAISY, Dentons' in-house AI system.
• Designing new functionalities through AI workflows, automations, prompt engineering, and iterative testing.
• Collaborating with developers using agile methodologies to deliver AI solutions aligned with business needs.
• Building rapid prototypes and automating processes to address workflow challenges.
• Partnering with lawyers and business professionals to create new functionalities.
• Managing backlog, user stories, and data quality to ensure high-quality feature delivery.