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Ai Audit Jobs in Riverside, CA (NOW HIRING)

Fujifilm

Director Data AI & Analytics

Irvine, CA · On-site

Embed compliance by design: 21 CFR Part 11, Annex 11, ALCOA+, data retention/archival, audit trails ... Govern AI safety: model cards, red-team testing, bias/fairness checks, PHI/PII safeguards, vendor ...

Pwc

US Tech - AI Engineering Manager

Irvine, CA · On-site

$73K - $244K/yr

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... The Opportunity As part of the People Tech & AI team you will lead the design, build, and operation ...

Pwc

AI Solutions Engineering Delivery Lead

Irvine, CA · On-site

$110K - $144K/yr

Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. The Opportunity : The AI ...

Pwc

CTIO AI Engineering Manager

Irvine, CA

$73K - $244K/yr

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... Responsibilities - Work with cross-functional teams to incorporate AI into various applications ...

Pwc

ERP AI Engineer - Manager

Irvine, CA

$99K - $232K/yr

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... This role offers the chance to shape AI solution architecture while driving innovation and ...

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Showing results 21-40

All JobsAi Audit JobsAi Audit Jobs in Riverside, CA

Ai Audit information

See Riverside, CA salary details

$63.6K

$125.4K

$164.3K

How much do ai audit jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai audit in Riverside, CA is $125,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $142,400.00 per year, depending on experience, location, and employer.

What is an AI audit?

An AI audit is a systematic evaluation of artificial intelligence systems to ensure they operate as intended, comply with regulations, and uphold ethical standards. This process involves assessing data quality, algorithmic fairness, transparency, privacy, and potential biases in AI models. The goal is to identify risks, improve accountability, and build trust in AI technologies by making sure they are reliable and safe for users. Organizations often conduct AI audits to meet legal requirements and industry best practices.

What are the key skills and qualifications needed to thrive as an AI auditor, and why are they important?

To thrive as an AI Auditor, you need a strong background in data analysis, machine learning principles, compliance, and risk assessment, typically supported by a relevant degree in computer science, data science, or auditing. Familiarity with AI audit frameworks, automated testing tools, and certifications like Certified Information Systems Auditor (CISA) or Certified Ethical Hacker (CEH) is often required. Critical thinking, attention to detail, and clear communication are vital soft skills for identifying issues and explaining findings to both technical and non-technical stakeholders. These skills ensure AI systems are transparent, ethical, and compliant with regulations, minimizing risk and building trust.

What are the typical challenges faced by professionals in AI audit roles, and how can they be addressed?

AI Audit professionals often encounter challenges such as rapidly evolving technologies, ensuring transparency in complex AI systems, and assessing compliance with emerging regulations. Staying current with the latest advancements and maintaining a solid understanding of both technical and regulatory frameworks are crucial. Collaboration with data scientists, legal teams, and business units is essential to effectively audit AI models and mitigate risks. Regular training and leveraging industry best practices can help address these challenges and ensure thorough, up-to-date audits.

What is the difference between Ai Audit vs Data Analyst?

AspectAi AuditData Analyst
Required CredentialsCertifications in AI, data analysis, and auditing toolsDegree in Data Science, Statistics, or related fields
Work EnvironmentCorporate, consulting firms, or tech companies focusing on AI systemsBusiness, finance, healthcare, or tech sectors analyzing data sets
Employer & Industry UsageUsed by organizations implementing AI to ensure compliance and accuracyUsed across industries to interpret data and support decision-making
Search & Comparison IntentUnderstanding AI auditing roles and responsibilitiesAnalyzing data trends and insights for business strategies

While both roles involve working with data, Ai Audits focus on evaluating AI systems for compliance, accuracy, and ethical considerations, often requiring specialized AI knowledge. Data Analysts interpret data to inform business decisions, with a broader scope across industries. The roles overlap in data skills but differ in focus and application.

How do I become an AI auditor?

To become an AI auditor, you typically need a background in computer science, data analysis, or related fields, along with knowledge of AI and machine learning systems. Gaining experience with data privacy, ethics, and auditing tools is also important, and relevant certifications can enhance credibility. Strong analytical skills and understanding of regulatory standards are essential for assessing AI models and ensuring compliance.

How much do AI auditors make?

AI auditors typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include benefits such as bonuses and professional development opportunities.

What are popular job titles related to Ai Audit jobs in Riverside, CA?

For Ai Audit jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Audit jobs in Riverside, CA look for?

The top searched job categories for Ai Audit jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Audit jobs?

Cities near Riverside, CA with the most Ai Audit job openings:

Ai Audit jobs near you
Infographic showing various Ai Audit job openings in Riverside, CA as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $125,438 per year, or $60.3 per hour.

Director Data AI & Analytics

Fujifilm

Irvine, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Fujifilm rating

8.6

Company rating: 8.6 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

33rd of 546 rated manufacturers

Job description

Position Overview
Position Description
We are hiring a Director Data, AI and Analytics. The Director Data, AI and Analytics will own the strategy, platforms, operating model, and outcomes for Data, AI, and Analytics across three FUJIFILM life-sciences businesses. In highly regulated GxP environments, deliver a trusted data backbone, governed self-service analytics, advanced analytics, bioinformatics pipelines, and agentic AI-meeting 21 CFR Part 11/EU Annex 11, ALCOA+, and CSV/CSA expectations. Lead a cross-site team (CoE + domain squads), partner with QA/CSV, Security, Lab IT, M&Q Systems, and ERP, and convert data and AI into measurable business value.
This position is hybrid in Irvine, CA.
Company Overview
At FUJIFILM Biosciences, we turn curiosity into breakthroughs that advance the field of life sciences. By offering a comprehensive portfolio of products and services in cell culture media, discovery research reagents, recombinant growth factors and proteins, fine chemicals, and critical assay materials, we partner with the brightest minds in biotech and pharma to tackle the world's biggest health challenges.
Imagine being part of a team that enables life-changing discoveries like new vaccines, therapies, and advancements in regenerative medicine. Our culture fosters curiosity, collaboration, and innovation, and we pride ourselves on delivering unparalleled quality and service to our partners. If you're ready to make an impact, your future belongs with us at FUJIFILM Biosciences.
Our headquarters in Santa Ana, California, is surrounded by world-class schools, lush parks, and scenic beaches like Laguna and Huntington, making it an ideal place to live, work, and explore. With additional campuses across the US, Europe, China, and Japan, we offer opportunities to make a difference worldwide.
Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of "giving our world more smiles." Visit: https://www.fujifilm.com/us/en/about/region/careers
Job Description
Responsibilities:
  • Define the multi-year Data/AI roadmap for locations in California and Wisconsin; align to business priorities and compliance needs.
  • Stand up a Data, AI & Analytics Center of Excellence with domain-aligned product squads (M&Q, R&D/Bioinformatics, Finance/SC).
  • Run governance: Data & AI Steering Committee, Model Risk & Compliance Board; assign data product ownership.
  • Own the enterprise data platform (lakehouse/warehouse), ingestion (ELT/CDC), orchestration, and semantic/metric layers.
  • Implement catalog/lineage, data quality rules, access controls; drive data product SLAs and ownership.
  • Integrate core systems: MES (e.g., PAS-X), QMS (ETQ/Veeva), LIMS/ELN (LabWare/Benchling), ERP (e.g., SAP/Oracle), OSI PI/AVEVA, and instrument data hubs.
  • Deliver executive and operational analytics (FPY/yield, OEE, deviation/CAPA TAT, batch release, QC throughput, inventory turns, cost-to-serve).
  • Enable governed self-service (certified datasets/semantic models, KPI library, training, community of practice).
  • Lead data science programs for manufacturing quality, supply chain, and R&D.
  • Own bioinformatics analytics and pipelines (e.g., NGS/omics workflows, imaging pipelines, assay analytics) and integration with lab systems and data platforms.
  • Build responsible and agentic AI capabilities (assistants/co-pilots, retrieval/grounding, task automation) with MLOps (experiment tracking, model registry, CI/CD, monitoring, retraining). Separate GxP vs non-GxP AI; ensure intended use, explainability, validation/CSA, and periodic review for regulated models.
  • Embed compliance by design: 21 CFR Part 11, Annex 11, ALCOA+, data retention/archival, audit trails.
  • Partner with QA/CSV on risk-based validation, test evidence, and inspections; maintain validated state for applicable analytics/data flows.
  • Coordinate with Corporate Security on classification, RBAC/least privilege, encryption, logging/monitoring, and incident response for data/AI workloads.
  • Govern AI safety: model cards, red-team testing, bias/fairness checks, PHI/PII safeguards, vendor due diligence.
  • Prioritize a portfolio of use cases with quantified value; pilot, scale winners, retire low-value work.
  • Publish a quarterly "Data & AI Outcomes" report (business impact, adoption, cost/performance, compliance posture).
  • Select and govern platform vendors (cloud, data/ML, BI, bioinformatics tools) and SIs; negotiate commercials, SLAs, exit terms.
  • Drive FinOps: usage visibility, rightsizing, tiered storage, and cost/performance optimization.
  • Hire and develop data/platform/analytics engineers, data scientists/ML engineers, bioinformatics engineers, and product managers.
  • Build cross-site career paths and a culture of reliability, compliance, and measurable impact.

Required Skills/Education:
  • BS/BA (or equivalent) in Business, Computer Science, Data Science or Bioinformatics or similar.
  • 10+ years leading Data/Analytics functions with 5+ years in regulated life sciences (biotech, pharma, CDMO); multi-site/global experience.
  • Demonstrated people management experience, including building, mentoring, and leading high-performing teams.
  • Ownership of enterprise data platforms (lakehouse/warehouse), analytics programs, and MLOps in production.
  • Strong GxP/CSV/CSA knowledge with practical application in analytics/AI and data flows; 21 CFR Part 11/Annex 11/ALCOA+.
  • Hands-on familiarity with bioinformatics analytics/pipelines (e.g., NGS/omics, imaging, workflow orchestration) and integration with LIMS/ELN and lab systems.
  • Proven record converting Data/AI programs into business outcomes (e.g., cycle time, yield/FPY, cost, quality).
  • Cross-functional leadership with QA/CSV, Manufacturing/Quality, R&D, Security, ERP/MES/QMS owners, and vendors.
  • Excellent executive communication and pragmatic technical guidance.
  • Platforms: Databricks/Snowflake/BigQuery; Azure/AWS data services; Spark; DBT; Airflow/Prefect; Kafka/EventHub.
  • BI: Power BI/Tableau; semantic/metrics layers; KPI governance.
  • MLOps/AI: MLflow/W&B, SageMaker/Azure ML; vector DBs/RAG; LLM orchestration; agent frameworks; feature stores.
  • Bioinformatics: Nextflow/Snakemake, CWL/WDL; common tools (e.g., GATK) or imaging/omics pipelines; HPC/containers.
  • Governance: Collibra/Alation/Atlan; model risk management/AI governance.
  • Certifications: GAMP 5/CSA, ITIL, cloud (Azure/AWS), or data governance certifications.
  • Ability to speak, read, and write in English.
  • Good verbal and written communication skills; effective presentation skills.

Salary and Benefits:
  • For California, the base salary range for this position is $154,565.00 - $216,100. Compensation for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience, location, etc.).
  • Medical, Dental, Vision
  • Life Insurance
  • 401k
  • Paid Time Off

*#LI-hybrid
EEO Information
Fujifilm is committed to providing equal opportunities in hiring, promotion and advancement, compensation, benefits, and training regardless of nationality, age, gender, sexual orientation or gender identity, race, ethnicity, religion, political creed, ideology, national, or social origin, disability, veteran status, etc.
ADA Information
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our HR Department (flbi@fujifilm.com).

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About Fujifilm

Sourced by ZipRecruiter

With each Industry we enter, We’ve learned to Leverage and Adapt our knowledge, Expertise and rRsources to make the World a better place. When it comes to Innovating for a Healthier World and a more sustainable society, we’ll NEVER STOP. Fujifilm will contribute to the social challenges by creating new value in a wide range of business domains through innovation in Products, Services, and Technological Development. We launched our Healthcare Business with X-ray film in 1936. And now, We are developing our business in areas of prevention, diagnosis, and treatment as a Comprehensive Healthcare Company. We will never stop Innovating for a Healthier World.

Industry

Chemical manufacturing

Company size

10,000+ Employees

Headquarters location

Minato-ku, Tokyo, JP

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