Job opening Generative AI Architect – Healthcare Domain- Remote

Job Title: Generative AI Architect – Healthcare Domain
Location: [Remote]Experience Required: 10+ years

Job Summary:
We are seeking a highly experienced and innovative Generative AI Architect with a strong background in the healthcare industry. The ideal candidate will have extensive experience in AI/ML solution architecture, particularly with generative models, and a deep understanding of healthcare data systems, interoperability standards (e.g., HL7, FHIR), and regulatory frameworks such as HIPAA. This role will lead the design and deployment of enterprise-grade generative AI solutions to improve clinical workflows, diagnostics, patient engagement, and operational efficiencies.

Key Responsibilities:

• Lead the design, development, and deployment of generative AI solutions tailored for healthcare applications (e.g., clinical summarization, synthetic data generation, patient communication).

• Collaborate with data scientists, engineers, clinicians, and product teams to define use cases and ensure solutions align with clinical and operational goals.

• Architect scalable AI platforms leveraging LLMs, transformers, GANs, or diffusion models for healthcare-specific tasks.

• Ensure compliance with data privacy regulations including HIPAA, HITECH, and GDPR.

• Evaluate and integrate existing healthcare technologies such as EHRs, PACS, RIS, and medical imaging tools.

• Design frameworks for model explainability, bias mitigation, and performance monitoring in healthcare contexts.

• Drive adoption of best practices for prompt engineering, fine-tuning, and model lifecycle management.

• Author technical documentation, architecture diagrams, and solution playbooks for generative AI pipelines.

Required Qualifications:

• 10+ years of professional experience in AI/ML, with at least 3 years focused on generative AI or large language models.

• Proven experience designing and deploying AI solutions in the healthcare industry.

• Proficient in Python, TensorFlow, PyTorch, and cloud-based ML services (AWS SageMaker, Azure ML, or GCP Vertex AI).

• Deep understanding of healthcare interoperability standards (FHIR, HL7, DICOM) and medical terminologies (SNOMED CT, LOINC, ICD-10).

• Experience working with clinical data, including unstructured data from EHRs and imaging systems.

• Strong knowledge of data security, encryption, and patient confidentiality best practices.

• Excellent communication and stakeholder management skills.