Junior AI Solutions Engineer – AI Taskforce
TenCate | Flexible (USA / Global)
Reports to: CIO (via AI Taskforce)
Experience Level: Early career (0–3 years)
Travel: Minimal (role dependent)
About TenCate
TenCate Grass is the global leader in synthetic turf systems, operating a vertically integrated value chain from polymer to recycling. As AI becomes central to how we innovate, optimize operations, and serve customers worldwide, TenCate is expanding its enterprise AI capabilities through a dedicated AI Taskforce. This team drives scalable, governed, and business-aligned AI solutions across our global operations in EMEA, USA, and APAC.
Position Overview
We are seeking a Junior AI Solutions Engineer to join the TenCate AI Taskforce. In this role, you will support the design, development, and deployment of enterprise AI solutions within a governed delivery framework. You will collaborate with business stakeholders, product owners, and IT governance teams to deliver secure, compliant, and scalable AI capabilities that create measurable business value.
This is an ideal role for early-career professionals looking to build a strong foundation in enterprise AI engineering, with mentorship, structured processes, and exposure to global operations.
Key Responsibilities
AI Solution Development
- Support development of AI solutions across commercial, operational, and marketing domains
- Work within the enterprise AI stack (Claude, Azure, Fabric, Copilot, Power BI)
- Assist in building models, workflows, and integrations aligned with business needs
AI Lifecycle Execution
- Support testing, deployment, and optimization of AI solutions
- Assist with monitoring data quality, model performance, and system reliability
- Help maintain pipelines, integrations, and reusable components
Governance & Compliance (Critical)
- Operate strictly within the AI Taskforce delivery model
- Follow architecture, security, and data governance standards
- Participate in structured intake, validation, and approval processes
Collaboration & Stakeholder Engagement (Critical)
- Work closely with business stakeholders, product owners, and IT governance teams
- Help translate business requirements into technical solutions
- Collaborate with senior engineers and cross-functional teams across regions
Adoption, Training & Documentation
- Assist with user onboarding and training for new AI solutions
- Help create documentation, playbooks, and knowledge materials
- Gather user feedback and support continuous improvement
Continuous Learning & Growth
- Build hands-on experience in enterprise AI delivery
- Develop skills in AI engineering, data pipelines, and system integration
- Contribute to reusable components and internal best practices
Example AI Domains You Will Support
- Data Scraping and Modeling: AI-based agents for locating potential turf sales leads via public information
- Commercial Intelligence: AI-driven insights from Salesforce to support sales teams
- Supply Chain Optimization: Predictive models for planning, quality, and logistics
- Circular Economy & Sustainability: AI supporting ONE-DNA™ recyclability and traceability
- Risk & Regulatory Monitoring: Automated compliance and sustainability reporting
Qualifications
Required
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
- 0–3 years of experience (internships included)
- Foundational knowledge of Python, SQL, and data processing
- Understanding of APIs and system integration
- Familiarity with Microsoft ecosystem (Azure, Power Platform, Copilot)
- Basic understanding of AI/LLM tools (e.g., Claude, Copilot)
- Awareness of data quality, security, and governance principles
Preferred
- Exposure to enterprise environments or governed delivery models
- Experience with Power BI, Azure ML, or Fabric
- Prior involvement in AI, data, or automation projects
- Completed coursework, certifications, or professional development programs in usage of AI modeling for data management or application development.
Behavioral Profile
- Eager to learn and grow within an enterprise environment
- Structured, disciplined, and detail-oriented
- Strong team player with excellent communication skills
- Curious but pragmatic about AI capabilities and limitations
- Open to coaching, feedback, and continuous improvement
Growth Path
This role provides a clear development trajectory toward:
- AI Solutions Engineer
- AI Platform Engineer
- AI Architect
Success Criteria
- Demonstrated learning progression in AI and enterprise IT
- Effective contribution within governance frameworks
- Strong collaboration across business and IT teams
- Delivery of AI solutions that are adopted and used by the business
Equal Employment Opportunity
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.
Work Authorization
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.
