Senior AI Tooling & Platform Engineer

Vizient

Edina (MN)

On-site

USD 118,000 - 206,000

Full time

14 days+

Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Benefits plan

Job summary

Vizient is seeking a Senior AI Tooling Engineer to own the deployment and optimization of enterprise AI tooling platforms across the organization. You will design integrations, build APIs, and instrument data flows to enable scalable, secure AI capabilities.

You will partner with Product, Engineering, Data, Security, and Governance teams to ensure adoption, compliance, and ongoing improvement while delivering measurable analytics and lifecycle management for Jellyfish, Amplitude, and related

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.

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.