AI Engineer, Healthcare

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United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Customer relationship building","Technical execution","Adaptability","Ownership"]

Join the healthcare team as an AI Engineer, owning end-to-end customer engagements—from initial feasibility and scoping through implementation, delivery, and post-launch support. Partner with healthcare and platform teams to build integrations, data transformations, and applications for regulated environments involving PHI. Manage multiple concurrent engagements, translate ambiguous needs into technical plans, and identify repeatable opportunities to turn bespoke work into reusable platform capabilities.

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FursaFursa
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2 days ago

AI Engineer, Healthcare

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Join the healthcare team as an AI Engineer, owning end-to-end customer engagements—from initial feasibility and scoping through implementation, delivery, and post-launch support. Partner with healthcare and platform teams to build integrations, data transformations, and applications for regulated environments involving PHI. Manage multiple concurrent engagements, translate ambiguous needs into technical plans, and identify repeatable opportunities to turn bespoke work into reusable platform capabilities.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own healthcare customer engagements end-to-end, leading technical work from initial scoping through delivery and post-delivery support.
  • •Serve as the primary technical partner for assigned healthcare customers and build trusted relationships with customer engineering teams.
  • •Develop and deploy integrations, data transformations, and applications that address complex customer needs.
  • •Manage multiple concurrent healthcare engagements while maintaining delivery quality and customer confidence.
  • •Identify repeatable product opportunities, surface product feedback, and convert bespoke implementations into reusable platform capabilities where appropriate.

Key Requirements

  • •Experience in software engineering, solution architecture, forward deployed engineering, technical implementation, or a similar customer-facing technical role.
  • •Ability to own customer engagements from scoping through delivery and support.
  • •Strong technical execution across custom solutions, integrations, data transformations, and/or applications.
  • •Comfort operating in healthcare data environments, including sensitivity to PHI and regulatory considerations.
  • •Strong customer-facing communication and ability to build trust with technical stakeholders.
Experience:HealthcareAICustomer-facing
Skills:CommunicationCustomer relationship buildingTechnical executionAdaptabilityOwnership

Company Brief

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Provides a privacy‑first platform that connects data holders with vetted AI developers to license and deliver high‑quality, multimodal training and evaluation datasets across healthcare, media, audio, and motion capture.
Industry: Data Infrastructure
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York City, United States
Founded: 2024
WebsiteLinkedIn