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Serve as an on-site, embedded customer success lead at a health system, driving post-sale implementation, configuration, training, adoption, and measurable clinical and operational outcomes. Build relationships across clinical, operational, and IT teams, manage day-to-day client execution, track success metrics, and collaborate with product, sales, and engineering to improve the solution and scale deployments.

Lead the development of pharmacovigilance infrastructures, safety systems, and processes for AI-driven patient interactions, ensuring compliance and safety.

The Customer Success Executive will implement and scale AI solutions in healthcare, ensuring strong adoption by nursing and clinical teams while managing client relationships and project execution.

The LLM Inference Engineer will optimize large language model infrastructure and implement serving architectures, quantization techniques, and latency optimizations. Responsibilities include designing disaggregated serving solutions, benchmarking system performance, and guaranteeing efficient, scalable LLM systems in production.

As a Customer Success Executive, you will implement AI solutions in healthcare systems, ensuring strong adoption, measurable outcomes, and collaborating closely with clinical and operational teams.

As a Deployment Strategist, you will work with teams to deploy AI solutions in healthcare, engage with clients to understand their needs, and optimize workflows and deployments for improved patient outcomes.