Forward Deployed Engineer-Healthcare AI

You will work directly with healthcare customers, understand complex data challenges, build the solution, deploy it, and help turn successful customer implementations into scalable platform capabilities.

What You'll Work With

Python

SQL Data Pipelines Batch Processing Structured & Unstructured Data HL7/FHIR PHI/HIPAA AWS/GCP/Azure REST APIs Data Integrations****

What You'll Do

• Own customer engagements from scoping through delivery
• Translate ambiguous requirements into working production solutions
• Build large-scale pipelines for EHR, claims, imaging, genomics, and other healthcare data
• Work directly with customer engineering teams and data partners
• Build last-mile solutions when the platform doesn't fully meet customer needs
• Identify repeatable patterns and help turn them into scalable product capabilities
• Work across the stack with a strong spike in data engineering

What We're Looking For

Strong data engineering experience at scale

Experience building batch data pipelines for large volumes of structured and unstructured data

Strong SQL and ETL skills

Customer-facing technical experience

Ability to own projects end-to-end

Experience as a founding engineer, early startup engineer, FDE, or similar high-ownership role

Working understanding of AI/ML training workflows

Healthcare data experience, especially PHI/HIPAA, HL7/FHIR, is a strong plus

Comfortable adapting quickly when customer requirements change

Ideal Background

We're especially interested in engineers coming from:

VC-backed FDE companies

Early-stage/high-growth startups

Big Tech with broad technical ownership

Data-heavy or healthcare technology environments

The strongest candidates are technical generalists who can go deep in data engineering and are comfortable talking directly with customers.

This Role Is For You If..