Top Artificial Intelligence Jobs in Madison, WI

Provide third-tier, customer-facing technical support: diagnose and reproduce issues, perform source-code analysis and packet captures, collaborate with Engineering and Sales, produce knowledge-base content, and offer limited on-call support to ensure timely resolution.

The Client Partner will drive sales by prospecting new business, managing client relationships, and support growth initiatives within 10Pearls, particularly in technology services for financial and healthcare clients.

Administer and optimize Genesys Cloud CX and WFM/dialer systems for a high-volume blended contact center. Manage campaigns, forecasting, scheduling, real-time adherence, compliance, UAT, data imports, and cross-team improvements to drive KPI performance and regulatory compliance.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

Manage and enhance cybersecurity alerting strategies, develop AI models for threat detection, and identify new cybersecurity opportunities at Dataminr.

As an Account Manager for AI Products, you'll manage client relationships, ensure successful project execution, and collaborate with internal teams to drive client satisfaction and value realization.

Build production-grade AI-powered data tooling: extract data from Snowflake, generate and store embeddings, enable semantic search, design enrichment pipelines using LLM APIs, optimize AWS infrastructure, and create reusable services and SDKs for scalable, observable data and AI workflows.

The role involves generating new business as a Snowflake Client Executive, focusing on building relationships within the Snowflake ecosystem, running sales calls, and collaborating with marketing and solution teams to drive growth.

The Enterprise Account Executive will drive revenue growth, manage relationships with insurance agencies, and oversee the sales process from prospecting to closing.

Lead and grow two teams (SRE/Infrastructure and Cloud Control Plane), own cloud platform reliability and infrastructure, drive technical direction, recruit and develop engineers, partner on roadmap, ensure operability and participate in on-call rotations.