AI Staff Engineer (SW Engineer IV+)
HealthVerity · Philadelphia, PA · R&D
About this role
HealthVerity is hiring a staff-level AI Engineer in the machine learning function based in Philadelphia, PA. The posting calls out experience with Python, JavaScript, TypeScript, AWS. Compensation is listed at $170,000–$220,000 per year.
- Role
- AI Engineer
- Function
- machine learning
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Philadelphia, PA
- Department
- R&D
More roles at HealthVerity
Job description
from HealthVerity careersHow you will help
Accelerate customer and partner needs into clear, reliable, and scalable data and AI solutions, while strengthening HealthVerity’s engineering framework through real-world application and feedback.
As an AI Staff Engineer at HealthVerity, you will embed with customers and cross-functional teams to rapidly translate complex business problems into well-designed data flows, AI-enabled capabilities, and production-ready systems. You will help turn fragmented or bespoke customer requirements into smooth, repeatable data processes that align with our platform strategy.
Through hands-on delivery, you will also advance HealthVerity’s engineering and AI frameworks; validating patterns, surfacing gaps, and shaping standards that make it easier for teams to build, deploy, and operate intelligent data products at scale.
What you will do
- Lead technical discovery engagements with customers or internal partners to deeply understand business workflows, constraints, data realities, and success criteria.
- Rapidly prototype and iterate on pragmatic solutions; often using AI/ML, data pipelines, and backend services to validate value early and reduce delivery risk.
- Design and deliver production ready systems, including APIs, data pipelines, ML workflows, and cloud-native services, aligned with HealthVerity’s architecture and security standards.
- Own deployments and scaling efforts, troubleshooting complex issues across data, infrastructure, and application layers in real customer environments.