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SummaryIn 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.
- 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.
- 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.
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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.
Skills Required
- Bachelor's degree or equivalent combination of education and relevant experience
- Minimum seven (7) years progressive experience in technology, platform engineering, enterprise tooling, AI platforms, DevOps, engineering enablement, or related disciplines
- Proven ability to lead cross-functional initiatives involving technology strategy, governance, platform operations, vendor management, and stakeholder engagement
- Strong analytical, organizational, communication, and relationship management skills with ability to influence technical and business stakeholders
- Experience operating as a hands-on player-coach in a lean, fast-paced enterprise environment
- Experience within healthcare, payer, provider, clinical, life sciences, or other highly regulated industries
- Experience administering, configuring, or integrating enterprise engineering, DevOps, cloud, data, observability, governance, or productivity platforms
- Experience with platforms such as GitHub Enterprise, Azure DevOps, ServiceNow, Databricks, Microsoft Entra ID, or similar enterprise technologies
- Experience supporting AI delivery platforms, LLMOps, AIOps, AI quality engineering, prompt management, agentic AI tooling, model evaluation, or Responsible AI governance
- Experience with Internal Developer Platforms, developer portals, platform engineering, engineering productivity platforms, or enterprise control plane capabilities
- Experience building automation using APIs, scripting, workflow engines, Infrastructure as Code, CI/CD pipelines, or platform orchestration tools
- Experience enabling developer self-service capabilities and enterprise platform services and operating within hybrid product and delivery organizations
Vizient Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vizient and has not been reviewed or approved by Vizient.
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Leave & Time Off Breadth — Time off allowances are generous, with ample PTO and holidays available from day one. Separate paid volunteer days add additional protected time away.
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Flexible Benefits — Flexibility to work from anywhere for part of the year and hybrid options support work-life balance. Policies enabling remote periods complement the broader PTO structure.
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Retirement Support — Retirement benefits include a competitive 401(k) company match alongside HSA contributions on eligible plans. These elements strengthen long-term financial security within the total rewards package.
Vizient Insights
What We Do
Vizient, Inc., the nation’s largest health care performance improvement company, serves more than 50% of the nation’s acute care providers, which includes 97% of the nation’s academic medical centers, and more than 20% of ambulatory care providers. Vizient provides expertise, analytics and advisory services, as well as a contract portfolio that represents more than $130 billion in annual purchasing volume. Vizient is based in Dallas and has offices in 20 metropolitan areas across the United States. We have 4,000 employees with a breadth of expertise, experience and compassion, who are eager to develop and implement solutions that advance health care for the greater good.
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