Senior AI Tooling Architect for Enterprise Platforms

Vizient, Inc.; Chicago (IL); On-site; USD 118,000 - 206,000; Full time

Benefits offered by this job

Incentive eligible

Comprehensive benefits plan

Job summary

Vizient, Inc. is seeking a Senior AI Tooling Engineer to provide hands-on engineering, integration, analytics, and lifecycle management for the enterprise AI tooling ecosystem.

You will enable secure, scalable, and measurable use of AI platforms across multiple teams including AI Engineering, Quality, LLMOps/AIOps, Product, and Security. The role extends beyond dashboard development, aiming to own end-to-end delivery from requirements intake to production readiness, adoption, and continuous

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• Strong software/platform/data analytics engineering experience.
• Hands-on experience with enterprise SaaS, analytics, developer‑productivity, or AI tooling platforms.
• Experience with APIs, SDKs, connectors, event streams, data pipelines, integrations, and instrumentation.
• Strong SQL skills and ability to validate data against source systems.

Responsibilities

• Own the implementation, configuration, administration, and production readiness of enterprise AI tooling platforms.
• Design, implement, and support integrations between enterprise source systems and AI tooling platforms.
• Build and maintain APIs, SDKs, connectors, pipelines, event streams, automation, and synchronization workflows.
• Partner with product teams to onboard internal and customer-facing applications.
• Assess application architecture and define integration, instrumentation, data requirements.

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data/Analytics, or a related field

Tools

Jellyfish

Amplitude

Databricks

Power BI

Azure

Job description

Vizient, Inc. is seeking a Senior AI Tooling Engineer to provide hands-on engineering, integration, analytics, and lifecycle management for the enterprise AI tooling ecosystem.

You will enable secure, scalable, and measurable use of AI platforms across multiple teams including AI Engineering, Quality, LLMOps/AIOps, Product, and Security. The role extends beyond dashboard development, aiming to own end-to-end delivery from requirements intake to production readiness, adoption, and continuous