Role OverviewWe're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. As a Lead Director - Artificial Intelligence Solutions Engineering and Delivery, you'll lead the development and delivery of Artificial Intelligence and Machine Learning solutions that drive measurable business outcomes across the enterprise. You'll partner with Product, Architecture, Cybersecurity, Infrastructure, Observability, Data, and Business teams to establish delivery frameworks, engineering standards, and reusable implementation patterns that improve speed, quality, and consistency across solution delivery.
What You Will Do
Lead the end-to-end delivery of enterprise Artificial Intelligence and Machine Learning products, from opportunity identification and solution design through proof of concept, production deployment, enterprise adoption, and value realization, while delivering measurable business outcomes aligned to strategic objectives.
Why It Might Be a Fit
This role requires 10+ years of experience developing enterprise software products and platforms utilizing Artificial Intelligence, Machine Learning, and modern software engineering practices. You'll need to have experience delivering enterprise-scale technology solutions within complex, highly regulated environments, and designing, implementing, and operating cloud-native solutions across Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) environments.
Requirements
- 10+ years of experience developing enterprise software products and platforms utilizing Artificial Intelligence, Machine Learning, and modern software engineering practices.
- 10+ years of experience delivering enterprise-scale technology solutions within complex, highly regulated environments.
- 10+ years of experience designing, implementing, and operating cloud-native solutions across Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) environments.
- 7+ years of experience building, leading, and scaling product management, software engineering, or solutions engineering organizations responsible for enterprise technology delivery and transformation.
- 5+ years of experience building and deploying Artificial Intelligence and Machine Learning solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, agentic architectures, observability, model monitoring, and production AI operational practices.
Benefits
- medical, dental, and vision coverage
- paid time off
- retirement savings options
- wellness programs
- other resources, based on eligibility
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