Senior AI Architect

Act as the lead architect for AI initiatives across business domains.

Build Predictive & Real-Time Intelligence

Architect predictive maintenance and IoT-driven data intelligence & anomaly detection systems.

Design event-driven AI workflows integrated into business operations.

Ensure sensitive data is encrypted, masked, and processed with consent-aware controls.

Embed explainability and monitoring into all deployed models.

In addition to the expected base salary, this role is eligible to participate in\u00A0Inogen\u2019s\u00A0annual performance bonus incentive plan,\u00A0highly competitive\u00A0and company-sponsored benefits, and wellbeing programs rooted in our strong culture of excellence. As a valued member of our team, Inogen provides\u00A0health, dental, and vision insurance, 401(k) plan plus employer contribution and match, and\u00A0generous paid leaves such as vacation and sick leave, including paid volunteer time, that can support you and your family through moments that matter.

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Inogen is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

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"hiringOrganization": "Inogen",

"employmentType": "Full-Time",

We are looking for a hands-on senior AI architect who will define how AI operates across our enterprise \u2014 not only to architect individual projects, but as a governed, scalable capability embedded into the way we work. Reporting to the VP, Chief Data and Information Officer, this role will shape and lead our enterprise AI architecture across predictive models, generative AI, and agentic AI systems. You will design the foundation that allows AI to be safely embedded into our commercial, operational, enterprise, and digital platforms \u2014 while remaining secure, compliant, cost-disciplined, and aligned to pragmatic and measurable business outcomes.

Define the Enterprise AI Blueprint

Establish and evolve the company\u2019s AI reference architecture.

Set standards for how AI systems are built, deployed, governed, and monitored.

Design AI service layers that support both real-time and batch decisioning.

Set standards for how AI systems are built, deployed, governed, and monitored.

Design AI service layers that support both real-time and batch decisioning.