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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior AI Solutions Engineer - AI Taskforce - **Company:** Polyloom Corporation Of America - **Location:** Chattanooga, TN, United States - **Experience:** Starter - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Microsoft Online Services, Data Governance, IT Management, Python (Programming Language), Power BI, Azure Machine Learning, Salesforce.Com, Software Engineering, SQL Databases, Systems Integration, Data Processing, Large Language Models, Model Validation, Reliability of Systems, Information Technology, Data Analytics, Data Management, Data Pipelines - **Published:** June 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5a8abcc8406e7f3a ## About the Role Do you have experience in Systems integration?, Do you have a Master's degree?, * 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, * 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, 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. ## Description 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., 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 ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Your Manager Doesn’t Come with a User Manual (But You Can Totally Write One)](https://www.wearedevelopers.com/videos/1495-your-manager-doesn-t-come-with-a-user-manual-but-you-can-totally-write-one) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)