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

PwC

San Diego, CA · HybridJob$124–280K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$124–280K/yr
Location
San Diego, CAHybrid
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

The Applied AI Health System Engineer leads client-facing AI engineering work in PwC’s Advisory practice, shaping solution design, implementation, and deployment for health sector use cases. The Senior Manager guides complex engagements, coaches teams, and translates technical direction into practical action. The role builds AI and machine learning solutions, designs system architecture, supports model readiness, and helps drive adoption of AI-enabled capabilities across the engagement lifecycle.

Skills & qualifications

RequiredNice to have

Skills

Production AI Delivery, nice to haveRAG Pipelines, nice to haveAgentic AI Workflows, nice to haveMLOps Platforms, nice to haveModel Governance, nice to haveClinical Workflow Translation, nice to haveRevenue Cycle Workflow Translation, nice to haveAzure OpenAI Service, nice to haveAWS Bedrock, nice to haveGoogle Vertex AI, nice to haveHIPAA-Compliant Deployment, nice to havePopulation Health Program Design, nice to haveHealthcare AI Management, nice to haveHealthcare Analytics, nice to haveSnowflake, nice to haveDatabricks, nice to have

Qualifications

Bachelor's Degree, required7+ Years Experience, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

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

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

As 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: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For 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: https://pwc.to/us-application-deadlines

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How this job compares

Set against the 1,356 open AI Engineering jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This posting$124–280K/yr
  • California median$157–280K/yr175 salary ranges
  • US median$126–269K/yr1,174 salary ranges

This range's midpoint, $202K, is 8% below the California median midpoint ($219K) — in the middle half of AI Engineering salary ranges in California.

Openings
Olive Jobs lists 200 open AI Engineering jobs in California and 1,356 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 7 years of experience; AI Engineering postings that state a minimum ask for 7 years at the median (1,219 postings).
Education
This posting asks for a bachelor's degree; 480 of the 1,356 open AI Engineering jobs (35%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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