Job Description Insight Global is seeking an AI Platform Engineer/Architect to join the team of a local, franchise client. In this role, you will design, build, and operate cloudbased AI solutions that support various products and operations. Partnering closely with engineering, data, product, and business teams, this role focuses on translating business needs into scalable, secure, and responsible AI capabilities. You will be a handson engineer who builds cloudnative APIs, microservices, and eventdriven components to integrate AI models with platforms, data, and products, while evaluating and recommending AI platforms and tools. This is a hybrid role working onsite in Bloomington, MN 3x a week. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC Know Your Rights Poster is available here. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements 710+ years building production software. 35+ years in ML/AI engineering (AI Agent, chatbot, LLM creation). Strong programming skills in Python (preferred) plus C#, Java, or JavaScript; experience with REST APIs. Experience with Cloud AI services (Azure ML, Azure OpenAI, Azure AI Search/vector, Cognitive Services, Functions, Event Hub/Service Bus, Key Vault). Solid SQL and NoSQL database experience. Proven MLOps/LLMOps experience: pipelines, model/package registries, versioning, evaluation, and drift/quality monitoring. Effective communicator and collaborator, able to partner with business stakeholders and vendors; demonstrates leadership, problem-solving, and influence. Bachelor's degree in computer science, Engineering, Data Science, or related field. DevOps expertise: Git, Azure DevOps, CI/CD, and infrastructure as code (Bicep/Terraform). Experience with security and governance: AI threat modeling, RBAC, secret management, network isolation, compliance, and secure integrations. Experience with Power Platform (Power Automate, Copilot Studio/agents), D365, SharePoint, Databricks/Synapse/Fabric; Azure AI Engineer or Solutions Architect certifications.

The role requires 7-10 years of experience in building production software and 3-5 years in ML/AI engineering, including AI Agent, chatbot, and LLM creation. Strong programming skills in Python are preferred, along with C#, Java, or JavaScript, and experience with REST APIs. Solid SQL and NoSQL database experience, along with proven MLOps/LLMOps experience covering pipelines, model/package registries, versioning, evaluation, and drift/quality monitoring, are necessary. The position also requires DevOps expertise with Git, Azure DevOps, CI/CD, and infrastructure as code (Bicep/Terraform), as well as experience with security and governance aspects of AI. A Bachelor's degree in computer science, Engineering, Data Science, or a related field is required. Experience with Power Platform, D365, SharePoint, Databricks/Synapse/Fabric, and relevant Azure AI certifications are also mentioned.