Applied AI Health System Engineer [Health Services-Provider] - Senior Manager

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 DateThe 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: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: more about how we work: only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: NY-New York; NC-Raleigh; NC-Charlotte; IL-Chicago; OH-Cincinnati; OH-Cleveland; SC-Columbia; OH-Columbus; TX-Dallas; MD-Baltimore; VA-Richmond; NY-Rochester; IL-Rosemont; CA-Sacramento; MA-Boston; MO-St. Louis; UT-Salt Lake City; TX-San Antonio; CA-San Diego; CA-San Francisco; CA-Silicon Valley; WA-Seattle; SC-Spartanburg; CT-Stamford; FL-Tampa; GA-Atlanta; OH-Toledo; TX-Austin; OK-Tulsa; DC-Washington; CO-Denver; IA-Des Moines; MI-Detroit; NY-Buffalo; NJ-Florham Park; TX-Fort Worth; NC-Greensboro; CT-Hartford; TX-Houston; MI-Grand Rapids; IN-Indianapolis; CA-Irvine; FL-Jacksonville; MO-Kansas City; NV-Las Vegas; AR-Little Rock; CA-Los Angeles; KY-Louisville; AL-Birmingham; AR-Fayetteville; NY-Melville; FL-Miami; WI-Milwaukee; MN-Minneapolis; TN-Nashville; LA-New Orleans; US-Hybrid; OK-Oklahoma City; PA-Philadelphia; AZ-Phoenix; PA-Pittsburgh; OR-Portland

Type: Full time