Industry/Sector
Health Services
Specialism
Data, Analytics & AI
Management Level
Senior Manager
Job Description & Summary
The Opportunity
As an Applied AI Health System Engineer you will lead client-facing AI engineering work within our Advisory practice, shaping solution design, implementation, and deployment for health sector use cases. As a Senior Manager you will guide large, complex efforts, use sound judgment in ambiguous situations, coach teams through delivery challenges, and translate technical direction into clear, practical action for clients and internal stakeholders. In this role at PwC, you will apply data, algorithms, and software engineering to build AI and machine learning solutions at scale, design system architecture, support model readiness, and help drive adoption of AI-enabled capabilities across the engagement lifecycle.
Responsibilities
- Leading applied AI and health system engineering workstreams from design through deployment for client engagements
- Translating health services and clinical operations needs into AI solution requirements, reference architectures, and delivery roadmaps
- Designing retrieval, memory, prompt, and agent orchestration components that support scalable model usage across production environments
- Guiding data wrangling, model integration, and software implementation activities across cloud-based AI platforms
- Evaluating model behavior through benchmark testing, human review, and scoring methods to validate performance and reliability
- Advising clients on platform selection, governance considerations, portability, and workload fit across OpenAI, Anthropic, Google Gemini, Amazon Bedrock, Snowflake Cortex, Databricks Mosaic AI, and MCP integrations
- Coaching teams through complex delivery challenges, resolving blockers, and elevating technical decision making across multiple workstreams
- Communicating technical tradeoffs, system dependencies, and delivery status to client stakeholders and internal leaders
- Developing LLMOps and AgentOps practices that improve observability, traceability, and iterative model refinement after launch
- Applying analytical thinking, AI fluency, and data modeling skills to identify opportunities for automation and cognitive solution adoption
What You Must Have
- At least a Bachelor's degree
- At least 7 years of experience
What Sets You Apart
- 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
Travel Requirements
Up to 80%
Job Posting End Date
The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
