Senior AI Tooling Engineer

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

Job summary

Vizient is seeking a Senior AI Tooling Engineer to own the end-to-end lifecycle of enterprise AI tooling platforms. You will implement, integrate, instrument, and produce analytics across Jellyfish, Amplitude, and future tools, partnering with product, engineering, data, and security teams.

The role emphasizes production readiness, data quality, cost awareness, and adoption metrics, with scope expanding beyond a single product as priorities evolve.

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• Strong background in software, platform, or analytics engineering.
• Hands-on with enterprise SaaS, integrations, and tooling platforms.
• Experience with APIs, SDKs, event streams, data pipelines, and instrumentation.
• Strong SQL proficiency and data validation against source systems.
• Experience diagnosing complex platform and data-flow issues.
• Experience building metrics, dashboards, and analytics views.
• Ability to translate stakeholder needs into technical requirements.
• Experience working in a large-enterprise, cross-functional setting.

Responsibilities

• Own implementation, configuration, administration, and production readiness of enterprise AI tooling platforms.
• Design, implement, and support integrations between source systems and AI tooling platforms.
• Build and maintain APIs, SDKs, connectors, pipelines, event streams, automation, and synchronization workflows.
• Partner with product and engineering teams to onboard internal and customer-facing applications.
• Assess architecture and define integration, instrumentation, data, and event requirements.
• Develop event-tracking plans, taxonomies, properties, and instrumentation specs.
• Validate integrations, data completeness, and schema consistency.
• Troubleshoot platform, authentication, data-flow, and performance issues; perform root cause analysis.
• Translate objectives into measurable events, dashboards, analytics, and decision-support views.
• Develop analytics on engineering productivity, delivery flow, and usage metrics.
• Monitor platform usage, license utilization, data volume, cost, and health.

Skills

Software engineering

Platform engineering

Data engineering

Analytics engineering

APIs & integrations

SQL

Root cause analysis

Dashboard analytics

Cross-functional collaboration

Education

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

Tools

Jellyfish

Amplitude

Power BI

Databricks

Azure

Job description

Summary

In this role, you will provide hands-on engineering, integration, adoption, analytics, operations, and lifecycle management for Vizient’s enterprise AI tooling ecosystem. You will help enable secure, scalable, reliable, and measurable use of platforms supporting AI Engineering, AI Quality Engineering, LLMOps/AIOps, Product, Engineering, Data, Architecture, Security, Governance, and Delivery teams. The Senior AI Tooling Engineer will initially support platforms such as Jellyfish and Amplitude while applying reusable engineering practices across platform implementation, source-to-platform data flows, application onboarding, analytics, measurement, and lifecycle operations. This role extends beyond dashboard development or administration of a single product and will expand to additional AI tooling as organizational priorities evolve. The engineer will own technical work from requirements intake and architecture assessment through implementation, integration, instrumentation, validation, production readiness, analytics, adoption, operational support, optimization, and lifecycle change.

Responsibilities

• Own the implementation, configuration, administration, and production readiness of assigned enterprise AI tooling platforms.
• Design, implement, and support integrations between enterprise source systems and AI tooling platforms.
• Build and maintain APIs, SDK integrations, connectors, pipelines, event streams, automation, and synchronization workflows.
• Partner with application and product teams to onboard internal and customer-facing applications.
• Assess application architecture and define integration, instrumentation, identity, schema, event, and data requirements.
• Develop and maintain event-tracking plans, taxonomies, naming conventions, properties, and instrumentation specifications.
• Validate integrations, instrumentation, data completeness, accuracy, timeliness, lineage, sequencing, identity resolution, and schema consistency.
• Troubleshoot complex platform, authentication, integration, performance, data-flow, and data-quality issues; perform root cause analysis and implement corrective actions.
• Translate business, product, engineering, and AI-tooling objectives into measurable events, metrics, dashboards, analytics, and decision-support views.
• Develop analytics related to engineering productivity, delivery flow, quality, investment allocation, application usage, feature adoption, engagement, retention, conversion, and user journeys.
• Monitor platform usage, adoption, license utilization, data volume, cost, performance, operational health, and lifecycle risks.
• Partner with Product, Engineering, Data, Architecture, Security, Governance, Privacy, Procurement, and business teams to support adoption, compliance, documentation, enablement, and continuous improvement.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data/Analytics, or a related field, or equivalent practical experience.
• Strong experience in software engineering, platform engineering, data engineering, analytics engineering, product analytics, or a closely related technical discipline.
• Hands-on experience implementing, integrating, configuring, or operating enterprise SaaS, engineering, analytics, developer-productivity, or AI tooling platforms.
• Experience with APIs, SDKs, connectors, event streams, data pipelines, integrations, and application instrumentation.
• Strong proficiency with SQL and the ability to validate platform and analytics data against source systems.
• Experience troubleshooting complex platform and data-flow issues using structured root cause analysis and corrective action.
• Experience developing metrics, dashboards, and analytical views that support product, engineering, operational, or business decisions.
• Ability to assess application architecture and translate stakeholder needs into technical integration, instrumentation, data, and analytics requirements.
• Experience working cross-functionally with Product, Engineering, Data, Architecture, Security, Governance, and business teams in a large-enterprise environment.
• Strong documentation, communication, stakeholder-management, prioritization, and problem-solving skills.
• Ability to independently manage work from requirements intake through implementation, validation, documentation, handoff, and ongoing support.
• Ability to identify adoption barriers, workflow friction, data-quality issues, lifecycle risks, cost inefficiencies, and optimization opportunities.

Preferred Qualifications

• Hands-on experience with Jellyfish, Amplitude, or comparable engineering intelligence and product analytics platforms.
• Advanced experience with product analytics, experimentation, session replay, customer-data platforms, feature-management tools, or developer-productivity platforms.
• Experience with JavaScript, TypeScript, Python, Java, or another enterprise programming language.
• Experience with Azure and enterprise identity, authentication, and access-management patterns.
• Experience with Databricks, Power BI, or comparable data and analytics technologies.
• Experience supporting AI applications, conversational products, internal developer tools, copilots, or enterprise AI platforms.
• Familiarity with LLM applications, prompt workflows, AI observability, model telemetry, latency, reliability, token consumption, and AI cost measurement.
• Experience in healthcare, regulated industries, or complex large-enterprise environments.

Estimated Hiring Range

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.