Senior Software Engineer II - (AI Core Platform)

Deep AWS + infrastructure experience.

Networking and distributed systems knowledge.

Auth/authz experience (IAM, OAuth, API gateways, service-to-service auth, etc.).

Experience working with enterprise security/compliance requirements.

Some familiarity with LLM/agent ecosystems (Bedrock, LangGraph, LiteLLM, MCP, OpenAI APIs, Claude Code, etc.).

Improve AI/ML infrastructure for model development, training, and deployment, with a focus on large language models and other generative AI architectures.

Design multi-year vision, shaping the direction of crucial generative AI areas - text generation, image synthesis, multimodal models, and personalized content creation.

Architect systems to enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable.

Design and implement prompt engineering strategies to effectively guide generative AI models.

Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify and prioritize applied AI use cases within the organization.

Analyze product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications.

Maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI.

Contribute to the development of APIs and interfaces for integrating generative AI capabilities into existing healthcare systems and applications.