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

Pwc

AI Engineer

Irvine, CA · On-site

$50K - $112K/yr

... applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You ...

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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 Sep 7, 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.

What is an AI applications engineer?

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 the key skills and qualifications needed to thrive as an AI applications engineer?

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.

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 does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.

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:

Ai Applications Engineer jobs near you

Principal AI Engineer - Agentic AI / Generative AI | Irvine, CA (Hybrid) | Contract to Hire | AS

Central Business Solutions

Irvine, CA • On-site

Contractor

Re-posted 2 days ago

Job description

Job Title: Principal AI Engineer - Agentic AI / Generative AI
Location: Irvine, CA (Onsite Preferred / Hybrid)
Employment Type: Contract to Hire
About the Role
We are seeking a Principal AI Engineer to lead the design and development of next-generation Agentic AI solutions for enterprise applications. This role requires a highly experienced AI engineer with deep expertise in Large Language Models (LLMs), AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), and cloud-native AI architectures.
You will drive the architecture, development, deployment, and optimization of intelligent AI agents that automate complex business workflows, power enterprise copilots, and integrate seamlessly with enterprise platforms.
Key Responsibilities
AI Agent Development
Design, develop, and deploy AI Agents and Multi-Agent Systems for enterprise applications.
Build intelligent AI copilots capable of reasoning, planning, and executing complex business workflows.
Develop agent orchestration frameworks using modern AI technologies.
Implement memory, planning, tool usage, and autonomous decision-making capabilities.
Generative AI Engineering
Design production-grade Generative AI applications using Large Language Models.
Build Retrieval-Augmented Generation (RAG) solutions using enterprise data.
Develop prompt engineering strategies and context management pipelines.
Fine-tune and optimize LLM-powered applications for enterprise use cases.
AI Architecture
Architect scalable AI platforms supporting multiple enterprise applications.
Design AI microservices and API-driven architectures.
Build AI workflows integrating structured and unstructured enterprise data.
Ensure high availability, scalability, security, and observability of AI systems.
Cloud & MLOps
Deploy AI applications on AWS using cloud-native services.
Build containerized AI applications using Docker and Kubernetes.
Develop CI/CD pipelines for AI model deployment.
Monitor model performance, drift, latency, and reliability.
Enterprise Integration
Integrate AI Agents with enterprise applications including CRM, ERP, ITSM, and internal APIs.
Build AI-powered workflow automation solutions.
Collaborate with product, engineering, and business teams to deliver enterprise AI capabilities.
Technical Leadership
Provide technical leadership across AI initiatives.
Mentor engineers on AI architecture and best practices.
Conduct design reviews, code reviews, and architecture reviews.
Evaluate emerging AI technologies and recommend adoption strategies.
Required Qualifications
Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or related field.
12+ years of software engineering experience.
5+ years building AI/ML applications.
Strong hands-on experience developing AI Agents and Agentic AI solutions.
Experience building production-grade Generative AI applications.
Strong Python programming expertise.
Experience deploying AI applications in AWS.
Excellent architecture and system design skills.
Central Business Solutions, Inc(A Certified Minority Owned Organization)
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Central Business Solutions, Inc
37600 Central Court Suite 214 Newark CA, 94560
Phone: (833)247-8800 Fax: (510)-740-3677
Web: http://www.cbsinfosys.com

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