Sr Principal AI Architect

5 days ago


Bengaluru, Karnataka, India Oracle Full time

This role will work closely with customers, to design, develop, and deploy AI applications on our AI Health Data Platform that address critical healthcare challenges across entire health systems. You will rapidly build data pipelines, tools, analytics and data applications across the domains of Population Health, Life Sciences and Research. You will rapidly feedback requirements to our product and engineering leaders to build back into the platform. The ideal candidate will have a strong technical background, experience in healthcare IT, and a passion for improving healthcare delivery. Join us and create the future.

  • Collaborate with healthcare providers and stakeholders to understand their needs and develop tailored solutions.
  • Design and implement healthcare technology solutions, AI-driven analytics tools and applications.
  • Build and iterate data products and applications on a cloud data platform
  • Confidently present complex topics to CTO and executive audiences
  • Able to continuously learn, work independently and autonomously across product & engineering teams, with the ability to make decisions with minimal supervision.

Required Experience

  • 10 years of experience in Engineering, Analytics and Data Science in health care
  • Bachelor's degree in computer science or related field or equivalent relevant experience
  • Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.
  • Proficient in programming languages such as Python, Java, or JavaScript.
  • Familiarity with EHR systems (Epic, Cerner, Meditech), healthcare interoperability standards and national health data sets
  • Familiarity with parallel health care industries such as Pharma, Life Sciences, Population Health, Payer, National Health Systems, or State based health programs
  • Drive tangible outcomes through hands-on implementation
  • Build transformative AI solutions
  • Engineer bespoke agentic AI solutions
  • Own the entire data configuration & integration lifecycle
  • Proactively remove technical blockers
  • Drive Agentic innovation
  • Become a trusted strategic partner
  • Conduct deep-dive technical debugging and root cause analysis
  • Lead rapid prototyping and iteration
  • Implement and enforce best practices


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