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Agentic Ai Jobs in Riverside, CA (NOW HIRING)

We are modernizing this entire supply chain using advanced Document AI, Gemini LLMs, and Agentic workflows to drive straight-through processing. Key Responsibilities * Design and implement scalable ...

Resources should have strong knowledge and hands-on experience in the following areas LangChain Integration of LLMs with multiple data sources Agentic AI design and development Databricks AWS Neptune ...

AI Infrastructure Engineer

Norco, CA · On-site +1

$115K - $151K/yr

Evaluate current systems, design modernization roadmaps, and build secure, scalable AI infrastructure capable of supporting agentic AI, RAG pipelines, autonomous workflows, and distributed data ...

Engineer AI/ML

Santa Ana, CA · On-site

$120K - $140K/yr

... Agentic AI workflows, AI agents, and orchestration frameworks. • Must have experience with REST APIs, microservices, and third-party system integrations. • Must have experience working with ...

New

The solution will leverage advanced Agentic AI capabilities to significantly reduce the time required to prepare for client meetings and improve quality of the insights. Responsibilities * Work ...

The solution will leverage advanced Agentic AI capabilities to significantly reduce the time required to prepare for client meetings and improve quality of the insights. Responsibilities: - Work ...

AI Platforms provides the compute and runtime. Security and Governance set the guardrails. AI ... Architect agentic solutions end to end: orchestration, tool and system integration, memory and ...

Sr AI/Agentic Engineer

Tustin, CA · On-site

$111 - $185/hr

You will lead the day-to-day delivery of agentic workflows, document intelligence, retrieval systems, and borrower- and operator-facing AI experiences, and you will help mentor more junior AI ...

New

AI Technical Lead

Irvine, CA · On-site

$180 - $280/hr

The solution will leverage advanced Agentic AI capabilities to significantly reduce the time required to prepare for client meetings and improve quality of the insights. Responsibilities * Lead the ...

In highly regulated GxP environments, deliver a trusted data backbone, governed selfservice analytics, advanced analytics, bioinformatics pipelines, and agentic AI--meeting 21 CFR Part 11/EU Annex 11 ...

In highly regulated GxP environments, deliver a trusted data backbone, governed selfservice analytics, advanced analytics, bioinformatics pipelines, and agentic AI-meeting 21 CFR Part 11/EU Annex 11 ...

Showing results 21-40

Agentic Ai information

See Riverside, CA salary details

$37

$68

$121

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:

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.

Principal, AI Engineering

Cotality

Irvine, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 29 days ago


Key responsibilities

  • Design and implement scalable Document Image extraction pipelines using Google Doc AI, including custom extractors, classifiers, and splitters.

  • Translate business requirements into technical solutions, define architecture, and document designs to support enterprise objectives.

  • Provide technical leadership, guidance, and mentorship to engineering teams, ensuring alignment with enterprise standards and strategies.


Job description

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

We are seeking a highly motivated and self-driven AI Engineer with a strong background in building scalable Gen AI/Agentic AI data engineering solutions. The ideal candidate brings deep expertise in Google Cloud Platform (GCP), with hands-on experience in Gen AI/Agentic AIEngineering, Google Doc AI,BigQuery, Postgres and Python. Familiarity with Data Engineering technologies like Dataflow (Apache BEAM), DataProc (Apache Spark) and orchestration tools like Apache Airflow is essential.

We are executing a major AI overhaul across our core enterprise data pipelines. Every day, massive volumes of unstructured document images flow through our ingestion engines. We are modernizing this entire supply chain using advanced Document AI, Gemini LLMs, and Agentic workflows to drive straight-through processing.

Key Responsibilities

  • Design and implement scalable, high-performance Document Image extraction pipelines using Google Doc AI (including Custom Extractors, Classifiers, and Splitters), ensuring optimal integration, reliability, and incorporating Human-in-the-Loop (HITL) fallback workflows.

  • Translate business requirements and processes into well-architected technical solutions, aligning with enterprise architecture standards and long-term technology strategy

  • Define and document solution architecture, technical designs, and requirements to support business objectives while balancing practical implementation and strategic vision

  • Provide technical leadership and guidance to engineering and support teams, ensuring alignment with business and IT strategies

  • Develop and present architecture and design artifacts to both technical and non-technical stakeholders

  • Proactively identify challenges, assess downstream impacts across business domains, and drive solution design through research, validation, and stakeholder consensus

  • Applyindustry and domain best practices, offering architectural guidance and strategic input to business and technology leadership

  • Evaluate the impact of new solutions on existing architecture, ensuring compliance with enterprise standards and governance frameworks

  • Contribute to enterprise-wide technology initiatives and support critical issue resolution when needed

  • Actively participate in team ceremonies, provide status updates, and support overall project governance and execution

  • Mentor and coach junior engineering team members to foster professional growth.

Job Qualifications:

  • Bachelor's degree in computer science, Engineering, or a related discipline (or equivalent work experience)

  • 7+ years of experience in IT, with strong expertise in Gen AI/Agentic AI,DocumentImage extraction, data architecture, Kubernetes/GKE, and driving continuousimprovements-preferably within the mortgage, real estate, financeor insurance domains

  • Deepunderstanding of Gen AI/Agentic AI, Machine Learning, Unstructured Data Extraction using hybrid AI/ML, Prompt Engineering, Multi Agent Orcherstration, RAG, Model surveillance/Governance, LLM Token optimization techniques to support strategic architecture planning

  • Deep, hands-on expertise with the Google Document AI suite (Form Parser, Custom Document Extractors (CDE), CDE training/tuning) and evaluating extraction model performance (Precision/Recall optimization)

  • Proven experience designing Human-in-the-Loop (HITL) workflows that are critical for Enterprise Document AI pipelines

  • Strong knowledge of the full lifecycle of Gen AI/ML applications, data engineering pipelinesdesign and development

  • Proven experience in enterprise applicationarchitecture, including governance, standards, and strategy development

  • Demonstrated ability to resolve complex enterprise-wide application & data architecture challenges

  • Expertise in designing solutions aligned with strategic technology roadmaps and emerging industry trends

  • Proficiency with data modeling tools and strong experience across SQL and NoSQL technologies

Technical Skills & Experience

  • AI & Document Processing: Hands-on experience with Google Document AI, Prompt Engineering, and AI-native development frameworks or lifecycle methodologies (e.g., BMAD, Spec Kit).

  • Cloud & Data Stack: Deep GCP expertise (AWS/Azure a plus), paired with strong hands-on skills in Python, PySpark, and modern graph databases (e.g., Neo4j).

  • Big Data & Orchestration: Proven experience building pipelines using distributed processing (Spark, Hadoop, Elasticsearch) and orchestration platforms (Google Cloud Dataflow, Apache Beam, Apache Airflow).

  • Architecture & Design: Ability to translate complex requirements into detailed technical designs, specifications, and enterprise system architecture.

Leadership& Soft Skills

  • Technical Leadership & Mentorship: Proven ability to guide engineering teams, drive architectural best practices, and elevate code quality through active mentorship, reviews, and collaborative pairing.

  • Stakeholder & Vendor Ownership: Strong communication skills with the ability to bridge business requirements, challenge vendor approaches, and align technical strategy with executive stakeholders.

  • Execution & Delivery: Ability to navigate complex, multi-phase delivery roadmaps and balance competing priorities in a dynamic environment.

Preferred Qualifications

  • AWS or Azure experience (to complement GCP)

  • Real Estate, Mortgage, Finance, or Insurance domain knowledge

  • Modern graph databases (e.g., Neo4j)

  • Event-driven architecture or streaming frameworks (e.g., Kafka)

Annual Pay Range:

134,400 - 185,000 USD

Application Window:

This opportunity is expected to remain posted through the date identified below, subject to business needs.

2026-08-06

Thrive with Cotality

At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.

Highlights, depending on role classification, include:

  • Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.

  • Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.

  • Health: Multiple medical plan options with mental health and wellness support offerings.

  • Retirement: 401(k) with company match and vesting after one year.

  • Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.

  • Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Cotality is an Equal Opportunityemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. Cotalitymaintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides a competitive salary and benefits package. We are better together when we support and recognize our differences.

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