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

Cotality

Senior Software Engineer (MCP Servers)

Irvine, CA · On-site

$131K - $173K/yr

Cotality is seeking a highly skilled Senior Software Engineer to design, build, and scale next-generation platforms that power AI-enabled applications across our enterprise. This role operates at the ...

Nihon Kohden USA

Enterprise AI Lead

Irvine, CA

Develop AI training, technical enablement, engineering standards, awareness programs, and ... Applications, Data & Analytics, Software Development, and business functions. * Thought Leadership ...

New

Nihon Kohden

Enterprise AI Lead

Irvine, CA

Develop AI training, technical enablement, engineering standards, awareness programs, and ... Applications, Data & Analytics, Software Development, and business functions. * Thought Leadership ...

New

Eliassen Group

Applications Developer/Analyst

Anaheim, CA · On-site

$30 - $35/hr

On-site in Anaheim, CA Our client seeks an Applications Developer/Analyst to support and enhance ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

Aveva

Model & Applications Developer

Lake Forest, CA · Hybrid

$87K - $153K/yr

Model & Applications Developer Location: Lake Forest, CA / Houston, TX Employment Type: Full-time ... AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track ...

Pwc

CTIO AI Engineering Manager

Irvine, CA · On-site

$73K - $244K/yr

Responsibilities - Work with cross-functional teams to incorporate AI into various applications ... engineering or related field What Sets You Apart - Master's Degree in Computer Engineering, Data ...

EnerSys

Senior Finance AI & Automation Developer

Chino, CA · On-site +1

$95K - $119K/yr

EnerSys is a global leader in stored energy solutions for industrial applications. We have over ... Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design ...

Samyang America, Inc.

Sr. Data Engineer Specialist

Brea, CA · On-site

$118K - $141K/yr

The Data Engineer will build and maintain data pipelines and infrastructure to support the enterprise data platform, focusing on developing efficient workflows for analytics and AI applications.

Boot Barn

Data Scientist

Irvine, CA · On-site

... Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks. • Prototype and deploy generative AI applications such as content generation agents, knowledge ...

Acra Lending

AI Engineer

Irvine, CA · On-site

Required : • 5+ years of software engineering, AI engineering, or machine learning experience. • 2+ years building LLM-based applications or agentic AI systems. • Experience with orchestration ...

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Showing results 21-40

All JobsAi Applications Engineer JobsAi Applications Engineer Jobs in Riverside, CA

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 Aug 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.

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 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 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 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.

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 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

Enterprise AI Lead

Nihon Kohden America, LLC

Irvine, CA • On-site

Full-time

Posted 4 days ago

Job description

The Enterprise AI Lead is responsible for supporting the development and leading the execution of the organization's Artificial Intelligence (AI) strategy, governance framework, and adoption roadmap. This role serves as the central point of coordination for AI initiatives across the enterprise, partnering with business and IT technical teams to identify opportunities, establish standards, enable responsible AI adoption, and drive measurable business value.
The Enterprise AI Lead collaborates closely with Infrastructure, Cybersecurity, Enterprise Applications, Software Development, Data & Analytics, and key stakeholders to ensure AI capabilities are effectively integrated into organizational processes, technology platforms, and ways of working.
The role focuses on building enterprise AI capabilities, governance, and organizational maturity while enabling technical teams to leverage AI safely, responsibly, and effectively.
Essential Functions and Main Duties
  • AI Strategy & Roadmap: Develop, support, and drive execution of the enterprise AI strategy, roadmap, and adoption plans aligned with business objectives. Evaluate emerging AI technologies, architectures, and industry trends to identify innovation opportunities and recommend enterprise AI technology direction, standards, and implementation approaches.
  • AI Opportunity & Metrics: Identify and prioritize AI opportunities that improve operational efficiency, customer experience, employee productivity, software development effectiveness, and decision-making. Establish success metrics, monitor progress against strategic objectives, and measure business value realization.
  • AI Governance Frameworks, Risk & Compliance: Develop, support, and coordinate enterprise AI governance through the creation of policies, standards, reference architectures, and best practices. Participate in governance reviews, architecture reviews, and technology evaluations for AI-related initiatives. Partner with Cybersecurity, Legal, Compliance, and Risk Management teams to ensure responsible AI adoption while addressing data privacy, security, intellectual property, regulatory compliance, and ethical AI.
  • Enterprise AI Architecture, Standards & Technology Selection: Develop and contribute to enterprise AI architecture, technical standards, and implementation patterns for AI-assisted software development, knowledge management, automation, and business process optimization. Collaborate with Infrastructure, Security, Data, Enterprise Applications, and Software Development teams to build scalable, secure, and maintainable AI platforms. Design, architect, develop, deploy, and continuously improve enterprise AI solutions, including AI applications, AI agents, automation workflows, AI-assisted software capabilities, application-embedded AI features, and integrations using enterprise AI platforms and services. Provide technical leadership throughout the AI solution lifecycle by establishing solution architectures, guiding technical implementation, conducting architecture and design reviews, evaluating technologies, supporting proof-of-concepts and production deployments, and ensuring solutions meet enterprise architecture, security, scalability, maintainability, and business needs.
  • Enterprise Adoption Leadership: Lead enterprise AI adoption initiatives across business and technical organizations. Coach and advise executives, project teams, architects, software engineers, and business stakeholders on AI opportunities, solution architecture, implementation approaches, and enterprise best practices.
  • AI Literacy & Communities: Develop AI training, technical enablement, engineering standards, awareness programs, and Communities of Practice to improve enterprise AI literacy, software engineering effectiveness, and responsible AI usage across business and technical teams.
  • Use Case Management: Facilitate identification, evaluation, and prioritization of enterprise AI use cases. Support business case development, technical feasibility assessments, proof-of-concepts, pilot programs, and enterprise deployment planning.
  • Program Tracking & Reporting: Coordinate with PMO and business stakeholders to track AI initiatives, technical deliverables, outcomes, risks, dependencies, adoption metrics, and value realization across enterprise AI programs.
  • AI Advisory & Collaboration: Serve as the enterprise AI technical subject matter expert and trusted advisor to leadership and technical teams. Provide technical leadership, architectural guidance, and implementation recommendations across Infrastructure, Cybersecurity, Enterprise Applications, Data & Analytics, Software Development, and business functions.
  • Thought Leadership & Global Execution: Promote a culture of innovation, continuous learning, technical excellence, and responsible AI usage. Provide thought leadership on AI technologies, engineering best practices, enterprise architecture, and emerging industry trends. Collaborate effectively with global teams across multiple time zones, including Japan Headquarters and other international locations, to deliver enterprise AI capabilities while exercising a high degree of independent judgment and technical leadership.
  • Adhere to all company policies, procedures, and business ethics codes.
  • Duties may be modified or assigned at any time based on business need.

Qualifications
Education / Certification / Experience Required:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Business Information Systems, or a related field; relevant education and experience accepted in lieu of degree.
  • AI, Cloud, Architecture, or Data-related certifications preferred.
  • Examples include:
    • Microsoft Azure AI Engineer Associate
    • Microsoft Azure Solutions Architect Expert
    • AWS Certified Machine Learning Specialty
    • Google Professional Machine Learning Engineer
    • TOGAF
    • Certified Information Systems Security Professional (CISSP)
  • 8+ years of experience in Information Technology, Enterprise Architecture, Digital Transformation, Software Development, Data & Analytics, or related disciplines.
  • 3+ years of experience leading or supporting AI, Machine Learning, Generative AI, Automation, or Digital Transformation initiatives.
  • Experience working with cross-functional business and technical teams in a complex enterprise environment.
  • Experience developing technology strategies, governance frameworks, standards, or enterprise roadmaps.
  • Experience managing technology programs, initiatives, or organizational change efforts.

Competencies Required:
  • Ability to follow written and verbal direction and established processes/policies.
  • Excellent organizational skills.
  • Demonstrated ability to solve problems and troubleshoot.
  • Strong record-keeping skill: Ability to follow through and document issues and resolutions.
  • Must be able to communicate verbally and in writing, and to receive and understand verbal and written instructions in English.
  • Able to work effectively both independently and in a collaborative team environment.

Compensation
The anticipated range for this position is $93,600 to $135,200. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, experience and location.
Perks and Benefits
Visit our Career page to learn more about Perks & Benefits and working at Nihon Kohden America
Working Conditions
Schedule: The regular hours for this full-time position are 8:00 a.m. to 5:00 p.m., Monday-Friday, unless otherwise stated by the department manager. Holiday, weekend, and evening work hours may be required. Regular hours may vary due to the needs of the organization or department and are subject to change at any time at the Company's discretion.
Physical: Generally may require some reaching, bending, stooping, squatting, crawling, kneeling, pushing, pulling, lifting, carrying up to 20 pounds, finger dexterity, repetitive motions, standing, walking, sitting, hearing, visual acuity, and color vision. More specific details may be provided as needed or requested.
Travel: Minimal
Access to Customer Sites: Not Required
Nihon Kohden America is committed to maintaining a professional and respectful workplace free from discrimination, harassment, and retaliation and welcomes all qualified candidates to apply. Employment decisions are based on qualifications, experience, and business needs, without regard to legally protected characteristics. This policy applies to all employment actions, including recruitment, hiring, promotion, compensation, training, and other workplace practices.
Nihon Kohden America complies with all applicable federal, state, and local laws regarding equal employment opportunity. Employees and applicants will not be subject to harassment or retaliation for asserting their legal rights. Questions or concerns regarding this policy may be directed to Human Resources at HREmployeeServices@nihonkohden.com.

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