TenCate
Location: Flexible, USA / Global
Job Type: Full-Time
Experience Level: Early Career, 0–3 Years
Travel: Minimal, depending on role requirements
Reports To: Chief Information Officer, through the AI Taskforce
TenCate Grass is a global leader in synthetic turf systems, operating a vertically integrated value chain from polymer production through recycling. As artificial intelligence becomes increasingly important to innovation, operational efficiency, and customer service, TenCate is expanding its enterprise AI capabilities through a dedicated AI Taskforce.
The AI Taskforce develops scalable, governed, and business-aligned AI solutions supporting TenCate operations across EMEA, the United States, and APAC.
TenCate is seeking a Junior AI Solutions Engineer to support the design, development, and deployment of enterprise AI solutions within a governed delivery framework.
This position will collaborate with business stakeholders, product owners, senior engineers, and IT governance teams to deliver secure, compliant, and scalable AI capabilities that create measurable business value.
The role is ideal for an early-career professional seeking to build a strong foundation in enterprise AI engineering through mentorship, structured processes, and exposure to global business operations.
Responsibilities include, but are not limited to:
Support the development of AI solutions across commercial, operational, and marketing functions.
Work within TenCate’s enterprise AI technology stack, including Claude, Azure, Microsoft Fabric, Copilot, and Power BI.
Assist with building AI models, workflows, integrations, and reusable components aligned with business requirements.
Support the testing, deployment, monitoring, and optimization of AI solutions.
Help monitor data quality, model performance, system reliability, and solution adoption.
Assist with maintaining data pipelines, system integrations, and technical components.
Follow established architecture, cybersecurity, data-governance, and compliance standards.
Participate in structured project intake, validation, documentation, and approval processes.
Help translate business requirements and operational challenges into practical technical solutions.
Collaborate with senior engineers and cross-functional teams across global regions.
Assist with user onboarding, training, playbooks, and knowledge materials for new AI solutions.
Gather user feedback and support continuous improvement after implementation.
Research emerging AI capabilities and contribute to internal best practices.
Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Zero to three years of relevant experience, including internships, academic projects, or professional experience.
Foundational knowledge of Python, SQL, and data-processing concepts.
Basic understanding of APIs, data pipelines, and system integration.
Familiarity with the Microsoft ecosystem, including Azure, Power Platform, or Copilot.
Basic understanding of AI and large language model tools, such as Claude or Copilot.
Awareness of data quality, cybersecurity, privacy, and governance principles.
Ability to translate technical concepts into clear, business-focused communication.
Strong analytical, organizational, and problem-solving skills.
Coursework, certifications, or hands-on projects involving AI, data, software development, or automation preferred.
Foundational Python and SQL programming.
Data processing, validation, and quality monitoring.
API and system-integration fundamentals.
Basic AI and large language model application development.
Familiarity with Azure, Microsoft Fabric, Power Platform, Copilot, or Power BI.
Technical documentation and process development.
Structured problem-solving and attention to detail.
Strong written and verbal communication skills.
Cross-functional collaboration and stakeholder engagement.
Curiosity, sound judgment, and a pragmatic understanding of AI capabilities and limitations.
Exposure to enterprise environments or governed technology-delivery models.
Experience with Power BI, Azure Machine Learning, or Microsoft Fabric.
Previous involvement in AI, data, software, or automation projects.
Completed coursework, certifications, or professional-development programs involving AI modeling, data management, or application development.
Data Scraping and Modeling: AI-based agents that identify potential turf sales leads using public information.
Commercial Intelligence: AI-driven Salesforce insights supporting sales teams.
Supply Chain Optimization: Predictive models supporting planning, quality, and logistics.
Circular Economy and Sustainability: AI solutions supporting ONE-DNA™ recyclability and traceability.
Risk and Regulatory Monitoring: Automated compliance and sustainability reporting.
This position offers a development path toward roles such as:
AI Solutions Engineer.
AI Platform Engineer.
AI Architect.
Demonstrated growth in AI engineering and enterprise IT capabilities.
Effective contribution within established governance frameworks.
Strong collaboration with business stakeholders and IT teams.
Delivery of AI solutions that are adopted and used by the business.
Consistent development of reliable documentation and reusable technical components.
This position offers flexible location options based on business and role requirements. The Junior AI Solutions Engineer will collaborate with stakeholders and technical teams across EMEA, the United States, and APAC.
Minimal travel may be required depending on assigned projects and business needs.
Candidates must be authorized to work in the United States without current or future employer sponsorship. TenCate is unable to provide visa sponsorship for this position.
TenCate is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.
