Chief Healthcare AI Architect

1 week ago

Bengaluru, Karnataka, India beBeeArtificial Full time ₹ 60,00,000 - ₹ 82,50,000
Job Title: Artificial Intelligence Strategist

As an Artificial Intelligence Strategist, you will play a pivotal role in driving the development and deployment of cutting-edge AI models in the healthcare Electronic Medical Record (EMR)/Electronic Health Record (EHR) domain. Your expertise will be instrumental in building innovative AI/ML solutions to address complex use cases and integrate them with agentic frameworks and workflows.

  • Develop and deliver high-impact data science projects that solve real-world problems and drive business outcomes.
  • Design, develop, and fine-tune generative AI models tailored for healthcare-specific tasks and applications.
  • Apply and adapt leading AI models like OpenAI GPT, Gemini, Claude, and open-source tools such as LLaMA to meet the unique needs of the healthcare industry.
  • Develop and deploy Machine Learning/Statistical models to build novel products and services.
  • Design and implement agentic AI systems to automate workflows and enhance user interactions within EMR/EHR platforms.
  • Integrate generative AI into agentic frameworks to create intelligent, autonomous solutions that optimize efficiency in healthcare processes.
  • Deploy AI solutions in complex healthcare environments, ensuring seamless integration with EMR/EHR systems, scalability, and reliability.
  • Align AI systems with interoperability standards such as HL7, FHIR, and healthcare data formats.
  • Analyze unstructured healthcare data, including clinical notes, audio transcriptions, and diagnostic imaging, to build models addressing specific clinical needs.
  • Ensure all AI models and workflows comply with healthcare data privacy regulations, including HIPAA and similar standards.
  • Develop secure AI systems maintaining the confidentiality and integrity of sensitive patient data.
  • Collaborate with engineers, product managers, clinicians, and other stakeholders to translate clinical needs into AI-driven solutions.
  • Communicate complex technical concepts to non-technical stakeholders to drive alignment and innovation.
  • Stay updated on the latest advancements in generative AI and apply them to improve existing healthcare processes.
  • Experiment with open-source and commercial GenAI models to explore their applicability in healthcare use cases.
Requirements:

A bachelor's degree or advanced degree in Computer Science, Data Science, AI, Physics, Mathematics, Statistics, Informatics, Electrical/Mechanical/Biomedical Engineering, or related fields is required.

Extensive experience in developing and deploying AI/ML models, with a strong focus on generative AI techniques is essential.

Experience with GenAI platforms like OpenAI, Gemini, Claude, and open-source tools such as LLaMA is highly desirable.

Strong understanding of EMR/EHR systems, healthcare workflows, and interoperability standards such as HL7 and FHIR is necessary.

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