1

Ai Implementation Jobs in Riverside, CA (NOW HIRING)

Senior AI Consultant

Irvine, CA · On-site

$140 - $180/hr

Implement AI governance, risk management, and compliance frameworks * Ensure ethical AI use, data privacy, and model transparency * Establish MLOps / LLMOps best practices Required Qualifications ...

AI Engineer

Tustin, CA · On-site

$80K - $100K/yr

Translate business requirements into technical designs, functional configurations, workflow diagrams, and implementation documentation. * Troubleshoot and resolve issues related to AI-enabled ...

AI Engineer

Tustin, CA · On-site

$80K - $100K/yr

Translate business requirements into technical designs, functional configurations, workflow diagrams, and implementation documentation. * Troubleshoot and resolve issues related to AI-enabled ...

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 ...

The AI Project Manager will oversee AI-related projects, ensuring successful implementation and integration of AI tools to enhance sales processes and drive business growth. Company : Sales-Hub ...

The AI Project Manager will oversee AI-related projects, ensuring successful implementation and integration of AI tools to enhance sales processes and drive business growth. Company : Sales-Hub ...

... implementations adhere to ethical AI principles (fairness, transparency, accountability, privacy) and relevant compliance requirements. • Create and maintain comprehensive architectural ...

Ensure that architectural designs and implementations adhere to ethical AI principles (fairness, transparency, accountability, privacy) and relevant compliance requirements. * Create and maintain ...

Ensure that architectural designs and implementations adhere to ethical AI principles (fairness, transparency, accountability, privacy) and relevant compliance requirements. * Create and maintain ...

Sr Engineer, AI Innovations

Irvine, CA · On-site

$150K - $194K/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 ...

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 ...

Showing results 21-40

Ai Implementation information

See Riverside, CA salary details

$40.7K

$108K

$175.3K

How much do ai implementation jobs pay per year?

As of Aug 11, 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 are the key skills and qualifications needed to thrive in the AI implementation position?

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.

What is an AI implementation?

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.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of AI and machine learning algorithms. Gaining experience with programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and understanding of deployment environments are essential. Certifications in AI or cloud platforms can also enhance job prospects in this role.
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:
Infographic showing various Ai Implementation job openings in Riverside, CA as of August 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.

$140 - $180/hr

Other

Posted 6 days ago


Job description

We are seeking a Senior AI Consultant to lead the design, development, and deployment of AI-driven solutions that deliver measurable business impact. This role combines strategic advisory with hands‑on execution—ideal for someone who can translate complex business problems into scalable AI systems and guide stakeholders from concept to production.

You will work directly with executives, product teams, and technical stakeholders to identify opportunities, define AI strategies, and implement solutions across machine learning, generative AI, and data platforms.

Key Responsibilities
  • Strategic Advisory
    • Partner with leadership to identify high-impact AI opportunities
    • Define AI roadmaps aligned with business objectives
    • Educate stakeholders on AI capabilities, limitations, and ROI
  • Design end-to-end AI/ML and generative AI solutions
  • Architect scalable data pipelines and model deployment frameworks
  • Evaluate and select appropriate tools, models, and infrastructure
  • Hands‑On Development
    • Build and deploy machine learning and/or LLM-based applications
    • Develop prototypes and production‑grade systems
    • Fine‑tune models, optimize performance, and ensure reliability
  • Client & Stakeholder Engagement
    • Lead workshops, discovery sessions, and technical presentations
    • Translate business needs into technical requirements
    • Serve as a trusted advisor to both technical and non‑technical stakeholders
  • Governance & Best Practices
    • Implement AI governance, risk management, and compliance frameworks
    • Ensure ethical AI use, data privacy, and model transparency
    • Establish MLOps / LLMOps best practices
Required Qualifications
  • 7+ years of experience in AI, machine learning, data science, or related field
  • Proven track record of delivering AI solutions in production environments
  • Strong experience with:
    • Machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit‑learn)
    • LLMs and generative AI (e.g., OpenAI, Anthropic, open‑source models)
    • Cloud platforms (AWS, GCP, or Azure)
  • Experience designing scalable architectures and deploying models (APIs, microservices)
  • Ability to communicate complex technical concepts to business stakeholders
Preferred Qualifications

Experience in consulting or client‑facing roles

  • Familiarity with vector databases, RAG architectures, and prompt engineering
  • Experience with data engineering (ETL pipelines, data lakes/warehouses)
  • Background in a specific industry (e.g., media, healthcare, finance, retail)
  • Experience leading cross‑functional teams or mentoring junior engineers
What Were Looking For

Someone who goes beyond "AI experimentation" and delivers real business outcomes

  • Strong problem‑solving mindset with a bias toward execution
  • Ability to operate both strategically and tactically
  • Comfortable in ambiguous, fast‑moving environments
  • Competitive salary + performance‑based incentives
  • Equity participation (if applicable)

Position may be based in Irvine CA or Remote

#J-18808-Ljbffr