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

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch ... Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.

Overview The Data Engineer IV will design and lead the build-out of Planet DDS's next-generation ... generative AI applications across product and operations. * Lead the design of a modern data ...

... based applications or agentic AI systems. * Experience with orchestration frameworks such as ... Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD

... based applications or agentic AI systems. * Experience with orchestration frameworks such as ... Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD

Job Title: AI/GenAI Engineer Job Location: Irvine, CA Job Type: Contract * Lead and conduct ... applications. * Stay updated with the latest trends and breakthroughs in AI or GenAI and related ...

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

... based applications or agentic AI systems. * Experience with orchestration frameworks such as ... Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD Benefits Our benefit offerings include:

Lead AI Engineer

Irvine, CA

$110K - $144K/yr

... applications that address complex challenges and support our strategic objectives. Key ... Lead a team of AI engineers and data scientists, providing technical guidance, mentorship, and ...

This role is not focused on building isolated AI features or one-off model applications; this is a platform engineering role. You will design and build the reusable systems, abstractions, interfaces ...

... AI Engineer to join our newly formed DOGE-X teama cutting-edge division within our Market ... applications, ensuring smooth and efficient workflows. Strategic AI Direction: Collaborate with ...

Applied AI Engineer

Irvine, CA · On-site

$160K - $190K/yr

Description POSITION DESCRIPTION The AI Engineer will serve as a critical bridge between business ... applications. * Excellent communication skills with the ability to translate technical findings ...

Description POSITION DESCRIPTION The AI Engineer will serve as a critical bridge between business ... applications. * Excellent communication skills with the ability to translate technical findings ...

AI Lead Engineer / AI Architect (Hands-on)

Irvine, CA · On-site

$59.25 - $81.25/hr

AI Lead Engineer / AI Architect (Hands-on) Location: Irvine, CA Duration: 6 Months Job Type ... Design and develop scalable AI/ML pipelines and intelligent applications aligned with enterprise ...

Principal Applied Scientist

Irvine, CA · On-site

$220K - $260K/yr

Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch ... Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.

Lead Gen AI Engineer

Irvine, CA · On-site

$55 - $60/hr

Lead AI/GenAI Engineer. Location: Irvine, CA (3 days onsite/week) Duration: 6 Months Job Summary ... applications. Stay updated with the latest trends and breakthroughs in AI or GenAI and related ...

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Showing results 1-20

Ai Applications Engineer information

See Riverside, CA salary details

$52.7K

$115.5K

$158.6K

How much do ai applications engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for ai applications engineer in Riverside, CA is $115,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $140,800.00 per year, depending on experience, location, and employer.

How does an AI Applications Engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

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

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What is a $900000 AI job?

A $900,000 AI applications engineer role typically refers to a high-level position in artificial intelligence development, often involving advanced skills in machine learning, deep learning, and data analysis. Such compensation may include base salary, bonuses, and stock options, usually found in senior or specialized roles within tech companies or startups. These positions often require extensive experience, certifications, and a strong understanding of AI tools and frameworks.

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

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

What does an AI application engineer do?

An AI application engineer designs, develops, and implements artificial intelligence solutions to solve specific problems or improve processes. They work with machine learning models, programming languages like Python or Java, and tools such as TensorFlow or PyTorch, often collaborating with data scientists and software developers to deploy AI systems in real-world applications.

Which 3 jobs will survive AI?

AI Applications Engineers are likely to continue to find roles in developing, implementing, and maintaining AI systems, as their expertise in integrating AI solutions remains in demand. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate.

What engineer makes $500,000 a year?

Highly experienced AI Applications Engineers working in senior or specialized roles at large tech companies or in consulting can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such roles typically require advanced skills in machine learning, deep learning, and software development, along with significant industry experience and often a master's or Ph.D. degree.

What are AI Applications Engineers?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.
What are popular job titles related to Ai Applications Engineer jobs in Riverside, CA? For Ai Applications Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai Applications Engineer jobs in Riverside, CA look for? The top searched job categories for Ai Applications Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Applications Engineer jobs? Cities near Riverside, CA with the most Ai Applications Engineer job openings:

Applied AI Engineer

Cambridge Swinerton Builders

Santa Ana, CA • On-site

$120K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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:

07/31/2026