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Applied Ai Engineer Jobs in Riverside, CA (NOW HIRING)

Qcells

Applied AI Engineer

Irvine, CA

$160K - $190K/yr

Familiarity with MLOps and DevOps practices as applied to AI/ML model lifecycle management, deployment, and monitoring. * Experience working with SQL and NoSQL databases and performing data ...

Qcells

Applied AI Engineer

Irvine, CA · On-site

$160K - $190K/yr

Familiarity with MLOps and DevOps practices as applied to AI/ML model lifecycle management, deployment, and monitoring. * Experience working with SQL and NoSQL databases and performing data ...

Rivian

Staff AI Engineer, Enterprise Applied AI

Irvine, CA · On-site +1

$206K - $258K/yr

Define long-term architecture and engineering standards for Applied AI systems to maximize reuse, reliability, and impact across multiple product areas. * Partner with business sponsors to translate ...

New

Cisco

Applied AI Scientist

Irvine, CA

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Rivian

Staff Security Engineer - AI Security

Irvine, CA

$140K - $175K/yr

Design and execute deep, unconstrained adversarial assessments on our applied AI systems (e.g ... Partner closely with engineering teams to brainstorm, review & validate remediations for the gaps ...

FieldAI

AI Solutions Engineer (Fixed-Term)

Irvine, CA · On-site

$35 - $50/hr

Bachelors degree or equivalent practical experience in software engineering, applied AI, or a related technical domain. * Strong Python proficiency and experience shipping production-grade software.

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All JobsApplied Ai Engineer JobsApplied Ai Engineer Jobs in Riverside, CA

Applied Ai Engineer information

What is the salary of applied AI engineer?

The salary of an applied AI engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in machine learning, deep learning, or specific tools may offer higher compensation.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are the key skills and qualifications needed to thrive as an Applied AI Engineer, and why are they important?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, which offer compensation including salary, bonuses, and stock options that total around this amount. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in AI projects.

What are some common challenges Applied AI Engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.
What job categories do people searching Applied Ai Engineer jobs in Riverside, CA look for? The top searched job categories for Applied Ai Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Applied Ai Engineer jobs? Cities near Riverside, CA with the most Applied Ai Engineer job openings:
Applied Ai Engineer jobs near you

Applied AI Engineer

Cambridge Swinerton Builders

Santa Ana, CA • On-site

$120K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Compensation Range:

$120,000.00 - $170,000.00 Annual Salary

Job Description Summary:

We are seeking an Applied AI Engineer to build and deliver practical AI solutions that drive automation, productivity, and business value. This role is focused on turning business needs into working solutions - from intelligent workflows and copilots to agent-based tools and AI-enabled applications. The ideal candidate is both technically strong and highly hands-on, with the ability to design, prototype, build, and deploy scalable solutions that solve real business problems.

Job Description:

Key Responsibilities

  • Build and deploy AI-powered automations and agent-based solutions that improve business processes and productivity.
  • Design and implement practical AI workflows using LLMs, retrieval, tool/function calling, orchestration, multi-agent patterns, integrations, and related technologies.
  • Integrate AI capabilities into enterprise systems, applications, and business processes to support real-world adoption and measurable value.
  • Test, monitor, troubleshoot, and continuously improve deployed AI solutions for reliability, usability, and performance.
  • Collaborate with business and technical stakeholders to refine requirements and translate them into working solutions.
  • Contribute reusable patterns, engineering practices, and responsible AI approaches that support scalable solution delivery.

Skills, Experience, and Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in software engineering, AI engineering, machine learning engineering, or similar hands-on technical roles.
  • Hands-on experience building and deploying AI-enabled applications, automations, or intelligent workflows in an enterprise environment, including delivery within defined solution direction and architectural guardrails.
  • Experience with AI frameworks, APIs, and tools for LLMs, retrieval, tool/function calling, orchestration, or multi-agent workflows.
  • Familiarity with frameworks and protocols such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP, or similar tools is preferred.
  • Experience with enterprise cloud and AI development platforms such as Microsoft Foundry, Databricks, or similar enterprise ecosystems is preferred.
  • Strong programming and engineering skills, including CI/CD, deployment automation, monitoring, and operational support practices for AI or software solutions.
  • Strong problem-solving, communication, and stakeholder collaboration skills.
  • Construction industry experience is preferred but not required.

Summary of Benefits:

This role is eligible for the following benefits:medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.

Anticipated Job Application Deadline:

08/03/2026

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