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Strong employer brand and metro location increase applicant density, but role is specialized.
Role requires deep ML/LLM and healthcare compliance expertise, limiting cross-industry transferability.
Multiple explicit high-experience and technical requirements make shortlisting highly selective.
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Lead development and architecture of scalable AI platforms handling healthcare-specific language, regulatory, and ethical requirements.
Design and implement AI frameworks to process structured and unstructured healthcare data including FHIR, HL7, clinical notes, and claims data.
Provide technical leadership on AI platform development, mentoring team members and ensuring compliance with healthcare privacy and data security standards.
Master’s degree in Computer Science, AI, Machine Learning, or related field with 10+ years experience developing AI/ML platforms on cloud and on-prem OR 15+ years software engineering background in AI/ML with 10+ years building AI/ML platforms.
Proficiency in Python, R, and ML libraries; experience with Generative AI, LLMs, and transformer architectures.
Experience with AI development frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems) and autonomous AI agents.
Strong healthcare or life sciences AI application experience; knowledge of cloud platforms, on-prem infrastructure, MLOps/LLMOps, Kubernetes, and Terraform.
Experienced AI architect with deep expertise in healthcare-focused AI platform design and integration of advanced AI into mission-critical products.
Proven ability to take concepts from architecture/design to production with strong operational understanding (observability, logging, scalability).
Technical leadership style emphasizing mentoring, knowledge sharing, and compliance with healthcare privacy and data security regulations.