3 machine learning solutions architect jobs at 3 companies in Kenosha, WI

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Emerging Technology Solutions Architect – Machine Learning
Chicago or Minneapolis or Cupertino or Charlotte or Cincinnati or Hopkins
$139k-$164k/yr HybridFull Time
U.S. Bank
U.S. BankNYSE: USB: Provider of personal, business, and institutional financial services.
8+ YOEBachelor’s degree or equivalent experience and 8+ years in software engineering, machine learning, data engineering, solution architecture, or related technical roles. Requires cloud ML, MLOps, architecture, and cross-functional leadership expertise.
Azure Machine Learning, AWS SageMaker, Databricks, Snowflake ML, MLflow, Kubeflow, PyTorch, TensorFlow, Scikit-learn, XGBoost
1w
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Senior AI Engineer / AI Solutions Architect
Brookfield, Wisconsin, United States
OnsiteFull Time
MLG Capital
MLG Capital: Private real estate firm managing diversified property investment funds.
5+ YOERequires 5+ years in software, cloud, machine learning, or AI engineering; production application development; scalable cloud architecture; stakeholder collaboration; and modern engineering practices. Experience with Azure AI, RAG, agents, Python, and Microsoft platforms preferred.
Azure OpenAI, Azure AI Foundry, Microsoft Copilot, Copilot Studio, Azure AI Search, RAG, Machine Learning, Prompt Engineering, Azure Machine Learning, MCP (Model Context Protocol), Semantic Kernel, LangGraph, AutoGen, CrewAI, Python, C#, TypeScript, JavaScript, .NET, React, Node.js, REST APIs, SQL, Microsoft 365, Microsoft SharePoint, Microsoft Teams, Microsoft Fabric, OneLake, Microsoft Purview, Microsoft Entra ID, Microsoft Power Platform, Microsoft Power Automate, CI/CD
2w
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Solution Architect - AI & Data
Chicago or Addison
$173k-$271k/yr RemoteFull Time
ServiceNow
ServiceNowNYSE: NOW: Enterprise cloud platform for digital workflow automation.
10+ YOE10+ years in consulting, enterprise architecture, or senior technology advisory roles focused on AI, machine learning, or enterprise digital transformation; requires data architecture, governance, executive advisory, and ServiceNow expertise.
Now Assist, AI Agents, Agentic workflows, AI Control Tower, RAG, knowledge graphs, A2A, MCP, RDF, SPARQL, ITSM, CSM, FSM, HRSD, App Engine, Microsoft Excel