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Agentic Ai Jobs in Riverside, CA (NOW HIRING)

Fujifilm

Director Data AI & Analytics

Irvine, CA · On-site

Build responsible and agentic AI capabilities (assistants/co-pilots, retrieval/grounding, task automation) with MLOps (experiment tracking, model registry, CI/CD, monitoring, retraining). Separate ...

CompassX Group

Solution Architect - GenAI

Irvine, CA · On-site

$150K - $190K/yr

You'll be orchestrating and building agentic AI systems in real enterprise delivery environments - and helping clients understand what they've actually got. At CompassX, we're delivering AI-enabled ...

CompassX Group

Solution Architect - GenAI

Irvine, CA · On-site

$150K - $190K/yr

You'll be orchestrating and building agentic AI systems in real enterprise delivery environments - and helping clients understand what they've actually got. At CompassX, we're delivering AI-enabled ...

ClifyX

Enterprise Architect - Security & IAM

Irvine, CA · On-site

... agentic and AI driven world, covering AI agents, orchestration frameworks, MCP style patterns, and autonomous workflows. • Define security guardrails for AI systems (Security for AI), including ...

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All JobsAgentic Ai JobsAgentic Ai Jobs in Riverside, CA

Agentic Ai information

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How much do agentic ai jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for agentic ai in Riverside, CA is $68.62, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $104.33 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

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

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

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

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

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

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

Agentic Ai jobs near you
Infographic showing various Agentic Ai 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 $142,729 per year, or $68.6 per hour.

Director Data AI & Analytics

Fujifilm

Irvine, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Fujifilm rating

8.5

Company rating: 8.5 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

33rd of 545 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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