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Ai Implementation Jobs in Riverside, CA (NOW HIRING)

acralending

AI Engineer

Irvine, CA · On-site

This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower ...

acralending

AI Engineer

Irvine, CA

This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower ...

Origence

AI Solution Architect

Irvine, CA · On-site

$67.50 - $89/hr

Implement real-time analytics using Fabric's Real-Time Analytics and Event Streams capabilities * Optimize data storage and processing using Fabric's Delta Lake and data mesh principles AI/ML ...

CU Direct

AI Solution Architect

Irvine, CA · On-site

$67.50 - $89/hr

Implement real-time analytics using Fabric's Real-Time Analytics and Event Streams capabilities * Optimize data storage and processing using Fabric's Delta Lake and data mesh principles AI/ML ...

Acra Lending

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower ...

Pwc

Pharma Technology Consultant Manager

Irvine, CA · On-site

$99K - $232K/yr

In this role, you will be at the forefront of designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. This is an exciting opportunity to work ...

Emergence AI

Staff AI Engineer

Irvine, CA · On-site

$200K - $230K/yr

Emergence AI is building next-generation agentic AI systems that move beyond code generation to ... Design and implement the verification system that makes autonomous agent execution safe , policy-as ...

Emergence AI

Staff AI Engineer

Irvine, CA · On-site

$200K - $230K/yr

Description Emergence AI is building next-generation agentic AI systems that move beyond code ... Design and implement the verification system that makes autonomous agent execution safe , policy-as ...

CYNET SYSTEMS

Senior AI Engineer

Irvine, CA · On-site

$56 - $61/hr

Design and implement vector search systems using Amazon OpenSearch. * Develop graph-based knowledge ... Develop backend services exposing AI capabilities through secure and scalable APIs. * Define best ...

Apply Early

CYNET SYSTEMS

AI Scientist / AI Architect

Irvine, CA · On-site

$75 - $80/hr

Architect and implement LLM orchestration layers supporting content ideation, drafting, and editing workflows. * Lead integration of AI solutions with backend systems and enterprise platforms (APIs ...

Apply Early

Qcells

Applied AI Engineer

Irvine, CA · On-site

$160K - $190K/yr

Implement Retrieval-Augmented Generation (RAG) pipelines, AI agentic patterns, and multi-modal model architectures to address complex use cases. * Collaborate with data engineers to collect ...

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All JobsAi Implementation JobsAi Implementation Jobs in Riverside, CA

Ai Implementation information

See Riverside, CA salary details

$40.7K

$108K

$175.3K

How much do ai implementation jobs pay per year?

As of Jul 1, 2026, the average yearly pay for ai implementation in Riverside, CA is $107,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $126,200.00 per year, depending on experience, location, and employer.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, AI director, or chief AI officer, often found in large tech companies or organizations with significant AI initiatives. These roles usually require advanced skills in machine learning, deep learning, data analysis, and experience with AI tools and frameworks, along with leadership responsibilities. Compensation at this level reflects extensive expertise, strategic impact, and often includes bonuses or stock options.

What are the key skills and qualifications needed to thrive in the Ai Implementation position, and why are they important?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

How much do AI implementation consultants make?

AI implementation consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior consultants or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on project success and company size.

What is an AI Implementation job?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What kinds of teams and departments does an AI Implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

Which 5 jobs will survive AI?

AI implementation professionals, data scientists, cybersecurity specialists, healthcare providers, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve critical thinking, emotional intelligence, or physical tasks that remain essential despite automation advances.
What are popular job titles related to Ai Implementation jobs in Riverside, CA? For Ai Implementation jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai Implementation jobs in Riverside, CA look for? The top searched job categories for Ai Implementation jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Implementation jobs? Cities near Riverside, CA with the most Ai Implementation job openings:
Ai Implementation jobs near you
Sr. Engineer Data Science & Agentic AI

Sr. Engineer Data Science & Agentic AI

Niagara Bottling, LLC

Diamond Bar, CA • On-site

$119K - $143K/yr

Full-time

Posted 5 days ago

Niagara Bottling rating

7.9

Company rating: 7.9 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

81st of 389 rated food and drinks producers

Job description

At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.
Consider applying here, if you want to:
  • Work in an entrepreneurial and dynamic environment with a chance to make an impact.
  • Develop lasting relationships with great people.
  • Have the opportunity to build a satisfying career.

We offer competitive compensation and benefits packages for our Team Members.
Sr. Engineer Data Science & Agentic AI
As a Data Science & Agentic AI Sr. Engineer , you will develop, design, implement, and deliver advanced data science, machine learning, and agentic AI products for all aspects of Machine Maintenance. The role creates novel predictive and prescriptive maintenance solutions, including AI agents and multi-agent workflows that can retrieve knowledge, reason over asset and maintenance data, use approved tools and APIs, and recommend or automate maintenance actions with appropriate human oversight. You will perform data wrangling, exploratory, descriptive, predictive, prescriptive, and agent-enabled analysis and visualization on both a recurring and ad hoc basis in support of the Projects Manager and the Maintenance user base. The Data Science & Agentic AI Sr. Engineer will identify new opportunities for intelligent process automation, Agentic AI, KPIs, visualizations, reports, dashboards, and decision-support products by aligning organizational insight requests with leadership's strategic objectives.
Detailed Description
  • Full Spectrum Data Science and Agentic AI Management

  • Lead the entire data science, machine learning, and agentic AI lifecycle, from problem definition and data collection through model/agent design, deployment, monitoring, governance, and continuous improvement.

  • Ensure seamless integration and coordination across data pipelines, ML/DL models, LLM applications, agentic workflows, APIs, and business processes, optimizing for safety, scalability, efficiency, and business impact.

  • Establish robust monitoring mechanisms for deployed models and AI agents, enabling proactive identification of performance, reliability, drift, safety, cost, and governance issues.

  • ML/DL and Agentic AI Strategy Development:

  • Define and execute the overall machine learning, deep learning, and Agentic AI strategy aligned with business goals, maintenance reliability priorities, and enterprise technology standards.

  • Work closely with stakeholders to identify opportunities for advanced analytics, predictive modeling, AI agents, and intelligent workflow automation that improve maintenance reliability, decision quality, and operational efficiency.

  • Agentic AI Strategy and Execution:

  • Define and lead the Agentic AI roadmap for predictive maintenance, maintenance knowledge management, work-order triage, troubleshooting, root-cause analysis, and prescriptive reliability workflows.

  • Design, build, and deploy AI agents and multi-agent workflows using large language models (LLMs), retrieval-augmented generation (RAG), vector search, tool/function calling, workflow orchestration, and secure API integrations.

  • Integrate agentic workflows with CMMS/EAM, maintenance, asset, IoT, historian, PLC/SCADA, cloud, and enterprise data platforms while maintaining human-in-the-loop controls for higher-risk actions.

  • Establish AgentOps, LLMOps, and MLOps practices for prompt/version management, agent evaluation, observability, guardrails, traceability, cost monitoring, model drift detection, and continuous improvement.

  • Implement agentic AI safety, privacy, and security controls, including least-privilege access, data protection, prompt-injection mitigation, approval gates, audit trails, and responsible AI governance.

  • ML/DL and Agentic AI Implementation and Execution:

  • Drive large-scale data science, ML/DL, and Agentic AI projects that leverage data transformation, machine learning models, LLM applications, and intelligent workflow automation.

  • Develop first-class predictive maintenance tools, AI agents, and insights for customers by balancing data complexity, coding/visualization platforms, reliability requirements, risk controls, and client demands.

  • Automate and streamline projects, reports, maintenance workflows, and agent-enabled decision processes to increase efficiency, scalability, and adoption.

  • Develop alternative procedures, data products, agent tools, and processing methods to optimize data interactions, human-machine collaboration, and new insights.

  • Contribute to storyboarding activities, developing recommendations for an executive-level audience, and producing leadership-quality deliverables

  • Manage and review ad hoc automation, AI agent, analytics, and information product support requests.

  • Collaboration: Work closely with project management teams, IT professionals, reliability engineers, maintenance leaders, and business stakeholders to identify opportunities for AI agents, ML models, and automation to enhance maintenance execution and project management.

  • Documentation: Document project requirements, methodologies, architecture decisions, agent workflows, evaluation results, risks, and outcomes. Prepare technical reports, presentations, and user guides to effectively communicate AI/ML/Agentic AI solutions to stakeholders.

  • Research and Innovation: Stay updated with the latest advancements in AI/ML, Agentic AI, LLMs, RAG, vector search, orchestration frameworks, and industrial automation. Conduct research and experiments to explore new approaches and improve existing models and agents.

  • Ethical, Legal, and Responsible AI Considerations: Ensure compliance with ethical standards and legal requirements when dealing with sensitive data, privacy, bias, explainability, autonomy, human oversight, and potential misuse of AI/ML models or AI agents.

  • Training and Knowledge Sharing: Share expertise in AI/ML, Agentic AI, responsible automation, and insights with colleagues, stakeholders, and team members. Conduct training sessions or workshops to facilitate effective utilization of machine learning programs, AI agents, libraries, and governance practices.

  • Knowledge of data acquisition and data Engineering for manufacturing

  • Please note that this job description is not designed to contain a comprehensive list of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without prior notice.

Data Science & Agentic AI Manager is estimated to travel 10-30%
  • Please note this job description is not a full list of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without prior notice.

Work Experience/KSA's
Required:
  • 5-7 years - Experience in Python, R, or another programming language

  • 5-7 years - Experience with TensorFlow, PyTorch, scikit-learn, or comparable ML frameworks

  • 3-5 years - Experience in Industrial ML, Automation, Data Science, AI, or related fields

  • 3-5 years - Experience with cloud computing platforms such as AWS, Azure, or GCP

  • 2-4 years - Experience with natural language processing (NLP), LLM applications, prompt engineering, or retrieval-augmented generation (RAG)

  • 2-4 years - Experience designing or deploying Agentic AI solutions, AI agents, RAG applications, LLM-powered workflows, or intelligent automation

  • 2-4 years - Experience with agent orchestration and LLM application frameworks or platforms such as LangChain, LlamaIndex, Microsoft Semantic Kernel, AutoGen, Azure AI Foundry, OpenAI API, or equivalent

  • 3-5 years - Experience with Deep Learning, Computer Vision, Reinforcement Learning, or advanced predictive modeling

  • 2-4 years - Experience with ethical, legal, privacy, security, and responsible AI considerations in machine learning and agentic AI systems

  • 2-4 years - Experience implementing AI guardrails, prompt/agent evaluation, telemetry, human-in-the-loop review, and model or agent monitoring

  • *Experience may include a combination of work experience and education

Preferred:
  • 7-10 years - Experience in Python, R, or another programming language

  • 7-10 years - Experience with TensorFlow, PyTorch, scikit-learn, or comparable ML frameworks

  • 5-7 years - Experience in Industrial ML, Automation, Data Science, AI, or related fields

  • 5-7 years - Experience with cloud computing platforms such as AWS, Azure, or GCP

  • 3-5 years - Experience with natural language processing (NLP), LLM applications, prompt engineering, or retrieval-augmented generation (RAG)

  • 3-5 years - Experience leading production Agentic AI, LLM, RAG, or multi-agent orchestration initiatives in industrial, manufacturing, maintenance, reliability, or enterprise operations environments

  • 5-7 years - Experience with Deep Learning, Computer Vision, Reinforcement Learning, or advanced predictive modeling

  • 3-5 years - Experience with ethical, legal, privacy, security, and responsible AI considerations in machine learning and agentic AI systems

  • 3-5 years - Experience with AgentOps/LLMOps practices, including monitoring, evaluation, versioning, safety testing, audit trails, and cost/performance optimization

  • *Experience may include a combination of work experience and education

Preferred Competencies and Skills
  • Proficiency in Azure ML Studio and related tools for model development, deployment, and monitoring.

  • Proficiency in Agentic AI and LLM application development, including prompt engineering, RAG, vector search/embeddings, function/tool calling, and agent workflow orchestration.

  • Experience with Agentic AI frameworks or platforms such as LangChain, LlamaIndex, Microsoft Semantic Kernel, AutoGen, CrewAI, Azure AI Foundry, OpenAI API, or equivalent.

  • Ability to design secure AI agent integrations with APIs, databases, CMMS/EAM platforms, cloud services, and industrial data sources while enforcing least-privilege access and approval gates.

  • Ability to evaluate and monitor AI agent performance using offline and online evaluations, trace logs, quality metrics, guardrails, human feedback, and incident response processes.

  • Understanding of Responsible AI, privacy, prompt-injection risks, model/tool misuse, auditability, and governance for autonomous or semi-autonomous AI agents.

  • Proficiency in using query languages such as SQL, Hive, Pig. Etc.

  • Proficiency in, but not limited to:

  • Microsoft Office Applications - Word, Excel, PowerPoint, Outlook, Project, Visio, etc.

  • Proficiency in applied statistical skills, such as distributions, statistical testing, regression, etc.

  • Basic understanding of data acquisition and processing tools and techniques and developing algorithms on common platforms to generate outputs

  • Scripting and programming skills such as Python, SQL, JavaScript, C++, C#, or API-based integration for analytics, automation, and AI agent tool development

  • Basic understanding of PLC/SCADA systems such SIEMENS S7, ALLEN BRADLEY, BnR, Edge data Management, etc.

  • Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, decision forests, gradient boosting, neural networks, and LLM-based approaches

  • Preferred experience with common data science and AI toolkits, such as R, Weka, Python, NumPy, Matplotlib, Pandas, MATLAB, Azure ML, and LLM/agent development libraries

  • Able to translate data, model outputs, and AI agent recommendations into actionable decisions for senior management

  • Strong analytical and problem-solving skills

  • Self-motivated with a proven record of taking initiative

  • Able to work with minimal supervision

  • Detail-oriented with excellent oral and written communication skills

  • Able to execute tasks in a very dynamic and ever-changing environment

Education
Minimum Required:
  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Industrial/Automation Engineering, or other related fields or equivalent experience

  • Preferred:

  • Master's Degree in Computer Science, Data Science, Artificial Intelligence, Industrial/Automation Engineering, or related field

Certification/License:
  • Required: N/A

  • Preferred: N/A

Typical Compensation Range
Pay Rate Type: Salary
$111,766.36 - $159,267.07 / Yearly
Benefits
Our Total Rewards package is thoughtfully designed to support both you and your family:
Regular full-time team members are offered a comprehensive benefits package, while part-time, intern, and seasonal team members are offered a limited benefits

What Niagara Bottling employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Niagara Bottling logo

About Niagara Bottling

Sourced by ZipRecruiter

Niagara Bottling, LLC has been family owned and operated since 1963. Niagara is a leading bottled water manufacturer in the U.S., supplying major retailers across the nation. Nielsen +/biNyDGcAS61OV0GIrHcWTOCFo= Nielsen is a global leader in audience measurement, data and analytics, shaping the future of media. Measuring behavior across all channels and platforms to discover what audiences love, we empower our clients with trusted intelligence that fuels action. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You'll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! NielsenIQ /xHzLYOL7B5gJKeErHR5OpVt2Os= NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world's population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what's possible. How? We combine unparalleled datasets, pioneering technology, and the industry's top talent to create insights that unlock innovation. Join us and change the landscape. Nike weB0VQ7iUwaCHWNipwHEhUU5oFo= Our purpose is to unite the world through sport to create a healthy planet, active communities, and an equal playing field for all. In order to stay at the top of our game, we're always looking to level-up with outstanding people who provide the kind of above-and-beyond service that inspires Nike fans for life! NOCD qMdV2+zQfKcKckWjOX3hDGP8fkM= NOCD is the #1 telehealth provider for the treatment of obsessive-compulsive disorder (OCD). OCD is one of the most severe, prevalent, and misunderstood mental health conditions. NOCD creates access to online therapy for people with OCD through our telehealth platform. In the NOCD app, members can quickly access and schedule live, face-to-face video therapy sessions with our national network of licensed therapists that specialize in Exposure and Response Prevention Therapy (ERP) - considered the gold standard" in OCD treatment. At NOCD, we help people reclaim their lives with clinically proven OCD treatment, by removing barriers to OCD care, and reducing the stigma associated with OCD. We're changing the world and need other like-minded individuals to accelerate and expand our efforts.

Industry

Food and beverage stores

Company size

5,001 - 10,000 Employees

Headquarters location

Diamond Bar, CA, US

Year founded

1963

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