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About the role
Design end‑to‑end AI / GenAI solution architectures covering data ingestion, feature engineering, model development, deployment, and monitoring. Lead solutioning for healthcare use cases such as: Prior Authorization & Utilization Management Claims processing & Payment Integrity Care Management & Population Health Clinical document processing and summarization Provider & member analytics
Architect agentic AI and RAG‑based solutions using LLMs for unstructured healthcare data (clinical notes, policies, contracts, medical records). Translate business problems into AI‑driven architectures , ensuring alignment with ROI, scalability, and regulatory requirements. Define reference architectures , NFRs, and technology standards for AI platforms. Collaborate with data science teams on: Model selection and evaluation Prompt engineering and orchestration strategies Human‑in‑the‑loop (HITL) workflows
Ensure solutions comply with HIPAA, PHI/PII, security, governance, and AI risk frameworks . Provide technical leadership during pre‑sales, client workshops, proposals, and solution walkthroughs . Mentor engineers and junior architects; review designs and ensure architectural best practices. Stay current with emerging trends in GenAI, agentic workflows, healthcare AI regulations, and cloud AI services .
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