PwC is a leading advisory services firm that focuses on leveraging advanced technologies in data and analytics. The Applied AI Health System Engineer – Senior Manager will lead the development of innovative AI solutions for healthcare systems, acting as a strategic advisor to enhance project outcomes and foster effective teams in tackling complex healthcare challenges.
Responsibilities:
- Lead the creation of innovative AI solutions for healthcare systems
- Serve as a trusted advisor, utilizing knowledge to enhance project outcomes
- Foster collaboration within dynamic teams to address complex challenges
- Drive operational excellence through creative problem-solving approaches
- Cultivate relationships with stakeholders to promote alignment on project goals
- Guide teams in navigating ambiguity and delivering impactful results
- Promote a culture of continuous improvement and professional development
- Uphold adherence to industry standards and practices in AI implementation
Requirements:
- Bachelor's Degree
- At least 8 years of experience
- Demonstrated experience delivering production AI or GenAI use cases in a health system environment
- Hands-on experience building RAG pipelines or agentic AI workflows against clinical data sources
- Experience with MLOps platforms and model governance practices in regulated, PHI-handling environments
- Ability to translate clinical and revenue cycle workflows into structured AI use case requirements
- Familiarity with Azure OpenAI Service, AWS Bedrock, or Google Vertex AI in a HIPAA-compliant deployment context
- Understanding of population health program design and how AI accelerates outcomes
- Proven record of success managing healthcare AI and GenAI solutions
- Experience in analytical techniques applied to healthcare use cases
- Experience working with data warehouse technology including Snowflake or Databricks