Hybrid AI Solutions Engineer - No-Code & Adoption

Protolabs; Telford; Hybrid; GBP 55,000 - 85,000; Full time

Job summary

Protolabs in the United Kingdom (Telford) is seeking an AI Customer Success Engineer for a hybrid role with weekly onsite presence. You will bridge technology and business, helping users adopt AI tooling, configuring no-code solutions, and collaborating with stakeholders across domains.

The role emphasizes hands-on delivery and deriving business value from AI platforms, requiring strong communication and the ability to translate needs into practical no-code/low-code use cases.

Qualifications

• Bachelor's degree in a relevant field.
• 3–5 years in customer success engineering or AI/digital consulting.
• Hands-on experience building no-code/low-code AI solutions.
• Experience across manufacturing, engineering, finance, HR and procurement.
• Strong API, integration, and SaaS architecture knowledge.
• Excellent verbal and written communication.
• Ability to elicit, document and validate requirements via interviews.

Responsibilities

• Collaborate with business users to map workflows for AI tooling.
• Create agents, apps, and automations for AI tooling.
• Analyze user feedback and close gaps between expectations and capabilities.
• Develop onboarding materials and guide users through adoption.
• Define platform requirements based on user needs.
• Oversee support channels and respond to user questions.
• Translate business challenges into no-code/low-code solutions from concept to implementation.

Skills

No-code/low-code AI platforms

LLM-based assistants

Prompt engineering

APIs & integrations

Enterprise systems knowledge

Cross-domain understanding

Verbal and written communication

Education

Bachelor's degree in a relevant field

Job description

Protolabs in the United Kingdom (Telford) is seeking an AI Customer Success Engineer for a hybrid role with weekly onsite presence. You will bridge technology and business, helping users adopt AI tooling, configuring no-code solutions, and collaborating with stakeholders across domains.

The role emphasizes hands-on delivery and deriving business value from AI platforms, requiring strong communication and the ability to translate needs into practical no-code/low-code use cases.