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Ai Implementation Jobs in Riverside, CA (NOW HIRING)

Rand Technology LLC

AI Developer

Irvine, CA

... Implement and optimize AI workflows including tool use, memory, orchestration, and autonomous decision loops Evaluate and select the right GenAI tools and frameworks for each use case Data ...

PDS Health

Sr Engineer, AI Innovations

Irvine, CA · On-site

$150K/yr

Design and implement AI/ML technical systems with focus on reliability, security, and scalability. * Mentor others in MLOPs practices, including automation of AI workflows and model deployment ...

Rand Technology

AI Developer

Irvine, CA · On-site

... Implement and optimize AI workflows including tool use, memory, orchestration, and autonomous decision loops • Evaluate and select the right GenAI tools and frameworks for each use case Data ...

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/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 ...

Perficientcorp Inc

Lead Gen AI Engineer

Irvine, CA · On-site

$55 - $60/hr

Design and implement machine learning deep learning natural language processing and computer vision models. Collaborate with cross functional teams to integrate AI research outcomes into practical ...

Month2Month

AI Engineer

Irvine, CA · On-site

Design and implement robust service infrastructures that seamlessly integrate our AI capabilities with internal applications, ensuring smooth and efficient workflows. Strategic AI Direction:

NextDeavor Inc.

Development Team Lead - AI Team

Irvine, CA · Remote

$200K - $250K/yr

Participate directly in implementation and architecture decisions * Guide adoption of practical AI engineering patterns and best practices * Mentor engineers to improve engineering quality and team ...

Tata Consultancy Services

Senior AI Engineer

Irvine, CA · On-site

$110K - $152K/yr

... implementing LLM evaluation and observability frameworks • Familiarity with AI security practices and threat models (prompt injection, guardrails) • Experience working in regulated environments ...

NextDeavor Inc.

Development Team Lead - AI Team

Irvine, CA · On-site

$200K - $250K/yr

Participate directly in implementation and architecture decisions * Guide adoption of practical AI engineering patterns and best practices * Mentor engineers to improve engineering quality and team ...

FieldAI

AI Solutions Engineer (Fixed-Term)

Irvine, CA · On-site

As an AI Solutions Engineer, you will collaborate with customers to develop and implement production AI solutions that address business challenges, combining engineering and product thinking to ...

Esri

Product Manager - AI

Redlands, CA

Implement operational excellence by maintaining metrics dashboards, and cross-team communication ... Work closely with engineering, design, and AI platform teams to define technical requirements ...

Hyundai Capital

Sr. AI Governance Manager

Irvine, CA · On-site

$135K - $179K/yr

WORK MODEL #LI-OnSite (4 days a week) WHAT YOU WILL DO The Sr. AI Governance Manager is responsible for developing, maintaining and implementing AI policies, model risk assessment, data usage ...

Esri

Product Manager -- AI

Redlands, CA · On-site

... • Implement operational excellence by maintaining metrics dashboards, and cross-team ... AI governance are built into features and user scenarios • Provide internal enablement to ...

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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 23, 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
Infographic showing various Ai Implementation job openings in Riverside, CA as of July 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $107,997 per year, or $51.9 per hour.
AI Developer

AI Developer

Rand Technology LLC

Irvine, CA

Other

Posted 6 days ago

Job description

Description

In this hands-on AI Developer role, you will support the design, build, and deployment of generative AI and agentic solutions that drive real business impact. This position will collaborate with external development partners on key AI product builds and take full ownership of those products post go-live, driving ongoing maintenance, optimization, and continuous improvement. You will work directly with business stakeholders to turn complex problems into production-grade AI applications, and you thrive in a fast-moving environment where you learn independently and stay ahead of the pace of change in the AI landscape.


++Please note, the preferred location for this role is Irvine, CA with Hybrid work options available++

++This role does not qualify for visa sponsorship now or in the future++


Essential Functions:

GenAI & Agentic AI Development 

Design and build production-ready generative AI applications using LLMs, RAG pipelines, and prompt engineering 

Develop agentic AI systems using multi-agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar) 

Implement and optimize AI workflows including tool use, memory, orchestration, and autonomous decision loops 

Evaluate and select the right GenAI tools and frameworks for each use case 

Data & Analytics 

Build and maintain data pipelines that feed AI applications with clean, reliable data 

Apply data analytics to validate model performance and surface actionable business insights 

Work with structured and unstructured data sources, APIs, and databases 

Integration & Deployment 

Deploy AI models and agents to production environments on Azure AI (including Azure OpenAI Service) and Databricks, using LangChain-based orchestration frameworks

  Integrate AI solutions into existing business systems and workflows 

Monitor live AI systems, troubleshoot issues, and drive continuous performance improvements 

Partner with external development teams during the build phase of key AI products, ensuring knowledge transfer and readiness to own the solution at launch 

Serve as the primary owner for deployed AI products post go-live, managing maintenance, enhancements, and issue resolution 

Business Collaboration 

Partner with stakeholders to translate business pain points into concrete AI solutions 

Communicate technical work clearly to both technical and non-technical audiences 

Identify high-value AI opportunities across business functions and contribute to AI roadmap 

Continuous Learning & Innovation 

Stay ahead of rapidly evolving GenAI and agentic AI technologies - proactively, not reactively 

Experiment with emerging tools and bring new ideas to the team 

Share knowledge, document approaches, and raise the team's collective capability 

Work Environment:

Hybrid work options available 

Professional office setting - Irvine, CA 

Collaborative, cross-functional team with a fast-paced, technology-driven culture 

Minimal travel required (less than 10%)  

Requirements

  Core Competencies:

Fast, self-directed learner you don't wait to be taught, you figure it out

Strong business acumen - you connect AI capabilities to business outcomes 

Clear communicator with both technical teams and business stakeholders 

Adaptable and comfortable with ambiguity in a fast-moving technology environment 

Detail-oriented with a bias toward working solutions over perfect theory


Education and Experience

Bachelor's degree in Computer Science, Data Science, AI, Mathematics, or related field 

Equivalent practical experience with a strong portfolio considered 

2-4 years of hands-on industry experience in AI development or a closely related field 

Demonstrated track record of building and shipping AI/ML solutions in a production environment 

Portfolio or GitHub showing real-world GenAI or agentic AI projects (required) 

Strong Python development skills - this is your primary tool 

Hands-on experience with GenAI fundamentals: LLMs, embeddings, fine-tuning, prompt engineering, RAG 

Hands-on exposure to multiple GenAI tools and frameworks - LangChain, Azure AI, OpenAI, AWS Bedrock, and beyond 

Working knowledge of agentic AI architecture: agents, tools, memory, orchestration, multi-agent systems 

Solid data analytics skills - Pandas, NumPy, SQL, and the ability to interpret and act on data 

Experience deploying models to cloud environments (Azure, AWS, or GCP) 

Git version control and collaborative development practices 


Preferred Qualifications:

Experience with MLOps practices and AI model lifecycle management 

Familiarity with NLP, computer vision, or multimodal AI applications 

Relevant certifications such as Microsoft Azure AI Engineer Associate (AI-102), AWS Certified Machine Learning - Specialty, Google Professional ML Engineer, or DeepLearning.AI generative AI specializations are a plus

Experience in technology, supply chain distribution, or B2B industry environments

Familiarity with Agile/Scrum development methodologies is a plus


Apply