AI/ML Architect Healthcare

Role: AI/ML Architect Healthcare

Location: Remote

Duration: 6 Months

1. Define end to end architecture for healthcare AI/ML solutions including data pipelines, model lifecycle, and deployment patterns.

2. Design and govern customization of existing health ML models (e.g., Risk Stratification, Readmission, Care Gap).

3. Establish target state AI/ML platform architecture aligned with enterprise, cloud, and security standards.

4. Define model lifecycle standards covering training, validation, deployment, monitoring, and retraining.

5. Ensure interoperability strategy for healthcare data sources (claims, EHR, labs, SDoH, FHIR aligned where applicable).

6. Embed AI governance, model versioning, lineage, explainability, and auditability into solution design.

7. Ensure HIPAA aligned data handling, access controls, and secure model operations.

8. Define MLOps standards for CI/CD, model registry, performance monitoring, drift and bias detection.

9. Provide technical leadership and architectural oversight across squads, vendors, and stakeholders.

10. Translate business and clinical objectives into scalable, compliant, and reusable AI/ML architectures.

Key skills: AI/ML architect, Healthcare industry, Risk Stratification, MLOps,