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Ai Retail Jobs in Riverside, CA (NOW HIRING)

Matrixpoint Consulting

Senior AI Consultant

Irvine, CA · On-site

$140 - $180/hr

We are seeking a Senior AI Consultant to lead the design, development, and deployment of AI-driven ... Background in a specific industry (e.g., media, healthcare, finance, retail) * Experience leading ...

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Ai Retail information

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How much do ai retail jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai retail in Riverside, CA is $16.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $17.55 per hour, depending on experience, location, and employer.

What can AI do in retail?

AI in retail, including roles like AI Retail specialists, can automate inventory management, personalize customer experiences, and optimize pricing strategies. It involves skills in data analysis, machine learning tools, and understanding consumer behavior to improve operational efficiency and sales. AI applications help retailers make data-driven decisions and enhance customer engagement.

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Senior AI Consultant

Matrixpoint Consulting

Irvine, CA • On-site

$140 - $180/hr

Other

Posted 28 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

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