Top Artificial Intelligence Jobs in Milwaukee, WI

As a Sales Development Representative, you'll focus on generating sales opportunities, managing pipelines, and articulating the Onehouse value proposition within Enterprise and Commercial accounts.

The role involves managing the ML lifecycle, developing scalable ML systems, and collaborating on AI-first product solutions focusing on Large Quantitative Models.

As a Senior Infrastructure Engineer, you'll shape architecture and strategy for managing unstructured data, design cloud-based deployment systems, and mentor teams while enhancing infrastructure best practices.

The role involves designing data ingestion and processing systems, writing scalable backend applications, and optimizing performance of business-critical endpoints.

The Enterprise Account Executive will source new clients, manage complex relationships, drive sales strategies, and meet ARR targets in a fast-paced technical environment.

The Principal Software Engineer, Cloud will lead the Cloud Platform team to define technical strategy and architectural direction, ensuring robust cloud systems for robotics and AI applications.

Execute fashion design briefs using Raspberry AI to produce flats, tech packs, colorways, prints, mood boards, and concept visuals. Translate creative direction into precise prompts, iterate on feedback, maintain brand-consistent quality, document workflows, flag platform issues, and partner with US Customer Success for intake and delivery under tight turnarounds.

Provide end-to-end commercial legal support: draft and negotiate revenue-critical agreements, handle complex deals, build legal templates and AI-enabled tooling, support corporate governance, compliance (privacy, export), IP, employment, vendor matters, and assist with fundraising and M&A as needed. Partner closely with sales, finance, product, and operations.

Design, build, and maintain secure Azure infrastructure using IaC (Bicep/ARM), private networking, CI/CD (Azure DevOps/GitHub Actions), and Azure services (Key Vault, Entra ID, Managed Identities, PostgreSQL, Blob Storage). Implement observability and security monitoring with Azure Monitor, Log Analytics, and Microsoft Sentinel, collaborate with security and application teams, participate in design/code reviews, and mentor teammates while adopting AI tools to improve workflows.

Lead design and build of AI-driven enterprise contact center and CX solutions in pre-sales: translate workflows into prototype architectures, architect retrieval/orchestration/validation systems, run technical discovery, partner with account teams, and deliver production-grade proofs of concept that handle real-world constraints and KPIs.