AI Platform Engineer

Insight Global

Bloomington, MN, United States

2 months ago

Role details

Contract type

Franchise

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

dejobs.org

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure C Sharp (Programming Language) Cloud Computing Computer Programming Continuous Integration DevOps Python (Programming Language) NoSQL

+22 more

Role-Based Access Control Azure Machine Learning Search Technologies Microsoft SharePoint SQL Databases Management of Software Versions Chatbots Microsoft Power Automate Large Language Models Git AI Platforms Infrastructure Automation Frameworks Information Technology Bicep Microsoft Dynamics 365 Finance & Operations Machine Learning Operations Virtual Agents Restful APIs Terraform Key Vault Databricks Microservices

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 cloud-based 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 hands-on engineer who builds cloud-native APIs, microservices, and event-driven 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.

Requirements

7-10+ years building production software.
3-5+ 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.