Healthcare AI Implementation Engineer

Trellis AI; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical coverage

Flexible PTO

Office meals

Team offsites

Equity

Job summary

Trellis AI, a Stanford AI Lab spinout, seeks Forward Deployed Engineers in San Francisco to work with healthcare providers, pharma, and diagnostic labs. You will design and deploy AI-powered workflows that reduce pre-service bottlenecks and improve patient access to therapies.

You will partner with our founding team and enterprise customers, owning end-to-end delivery and shaping solutions across sales, marketing, and recruitment.

Qualifications

• Architect and implement AI-driven workflows in healthcare settings.
• Collaborate with clinical teams to translate needs into technical solutions.
• Design and build healthcare data pipelines, focusing on reliability and security.
• Provide end-to-end delivery of high-impact projects in autonomous teams.
• Engage with leadership and customers to drive project success.

Responsibilities

• Architect AI workflows and integrate with EHR systems.
• Own end-to-end delivery of high-impact projects in small teams.
• Collaborate with clinical teams, operations managers, and executives to optimize workflows.
• Develop healthcare data pipelines from clinical notes to guidelines and results.
• Define implementation roadmaps, milestones, and success metrics.

Skills

AI workflows

EHR integration

Data pipelines

Healthcare domain

Customer collaboration

Job description

Trellis AI, a Stanford AI Lab spinout, seeks Forward Deployed Engineers in San Francisco to work with healthcare providers, pharma, and diagnostic labs. You will design and deploy AI-powered workflows that reduce pre-service bottlenecks and improve patient access to therapies.

You will partner with our founding team and enterprise customers, owning end-to-end delivery and shaping solutions across sales, marketing, and recruitment.