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VI
Vizient

Senior AI Tooling Engineer

Salary$118k – $206k
LocationChicago, IL 60607; Edina, MN 55435
Typefull-time
SenioritySenior
Company size1,001–5,000 people
First seenOct 7, 2026 · 4d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have12
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
Nice to have8
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
Eligibility1
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
Skills
SQL
APIs
SDKs
event streams
data pipelines
Jellyfish
Amplitude
JavaScript
TypeScript
Python
Java
Azure
Databricks
Power BI
Benefits
Health insurance
401(k)
Incentive eligibility
About the company
When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
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.
Benefits
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.
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