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Mid-level AI role, metro locations, and reputable parent brand increase applicant competition.
AI engineering skills transfer broadly, but healthcare compliance and PII requirements add domain specificity.
Explicit 4-year AI experience requirement plus many mandatory ML/LLM productionization skills increases strictness.
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Lead design and delivery of cloud-native data platforms and AI-enabled solutions on AWS focused on healthcare-grade systems.
Own technical direction for Python services, Snowflake data warehousing, and production-grade AI/ML engineering.
Accountable for full product lifecycle of AI-powered products/services, including architecture, engineering excellence, and operational monitoring.
Bachelor’s degree in any Engineering stream (Computer Science/Engineering preferred).
Minimum 4 years of relevant AI engineering experience with production GenAI delivery.
Strong Python engineering skills and AWS cloud deployment experience required.
Work Experience Required: Minimum 4 years in AI engineering.
Experienced in production deployment and operation of AI/LLM-enabled solutions, especially integrating large language models and retrieval-augmented generation.
Hands-on expertise with AI system evaluation, responsible AI practices, and MLOps/LLMOps processes for scalable, secure AI services.
Able to lead technical design decisions, mentor team members, and collaborate across Product, Security, and Legal to balance trade-offs in AI system delivery.