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Remote role increases reach, but specialized agentic AI and Google ADK skills limit applicant density.
Core AI architecture and multi-agent engineering skills transfer across industries, though healthcare domain knowledge helps.
Multiple specific production AI technologies required create moderately strict technical screening without explicit years.
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Lead the architecture and design of NIVA's AI platform, focusing on intelligent multi-agent systems using Google Agent Development Kit (Google ADK).
Develop reusable AI frameworks and guide the engineering team in transitioning AI solutions from experimentation to production.
Collaborate with engineers, analysts, and leadership to create scalable AI solutions that improve healthcare delivery.
Experience with Google Agent Development Kit (Google ADK) and multi-agent AI architectures.
Proficiency in Python and familiarity with AI tools like Gemini, Vertex AI, RAG, MCP, and Cloud Run.
Demonstrated experience building production-ready AI applications.
Work Experience Required: Not explicitly mentioned in the JD.
Strong systems thinking with a focus on agentic AI that solves real business problems.
Experience in mentoring engineers and elevating technical standards within engineering teams.
Preference for designing foundational AI architectures and building solutions from the ground up rather than maintaining existing systems.