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Ai Integration Engineer Jobs in Rancho Cucamonga, CA

Esri

DevSecOps Engineer II - SaaS

Redlands, CA · On-site

Build automated tooling leveraging AI Integration (CoPilot, GPT, Claude, and more) to handle non ... Experience with DevOps/DevSecOps practices, including IaC and automation-first design * Experience ...

Eliassen Group

Integrations Developer/Analyst

Anaheim, CA · On-site

$50 - $55/hr

The role collaborates with stakeholders to deliver integration solutions, troubleshoot production ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

PacSun

Sr. OMS Developer

Anaheim, CA · On-site

$116K - $132K/yr

As a Senior OMS Developer, this is a crucial role in designing and developing technical solutions ... AI Integration and Development: * Leverage AI technologies to enhance the OMS platform, driving ...

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Ai Integration Engineer information

See Rancho Cucamonga, CA salary details

$45.5K

$127K

$177.3K

How much do ai integration engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for ai integration engineer in Rancho Cucamonga, CA is $126,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $143,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

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

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.
What cities near Rancho Cucamonga, CA are hiring for Ai Integration Engineer jobs? Cities near Rancho Cucamonga, CA with the most Ai Integration Engineer job openings:
Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Rancho Cucamonga, CA as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $126,999 per year, or $61.1 per hour.

DevSecOps Engineer II - SaaS

Esri

Redlands, CA • On-site

Full-time

Posted 6 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Overview

If you've worked at a software company and enjoy building secure, scalable platforms, this DevSecOps Engineer role offers the chance to apply that experience to the world's largest geospatial Software as a Service offering. In this role, you will help strengthen the security of modern engineering systems by supporting continuous compliance, continuous risk assessment, data encryption, monitoring, and alerting through infrastructure as code practices. We're looking for a thoughtful, security-minded engineer who understands how software teams build and ship products and is excited to help shape the next generation of secure SaaS at Esri. 

Responsibilities

  • Build and maintain secure CI/CD pipelines and automation, using Infrastructure and Automation as Code
  • Develop automation using Python, JavaScript, or similar languages (such as Go, Rust, Ruby)
  • Integrate and administer security tooling (SAST, DAST, SCA) within development pipelines
  • Implement and secure containerized workloads using Docker
  • Define and operate monitoring, logging, and alerting across AWS and Azure
  • Automate provisioning, configuration, and enforcement using AWS and Azure Management APIs
  • Apply secure identity, authentication, and cryptographic practices, including OAuth 2.0, X.509 certificates, and key management
  • Build automated tooling leveraging AI Integration (CoPilot, GPT, Claude, and more) to handle non-deterministic workloads
  • Develop against the Microsoft Fabric Stack (SharePoint, PowerApps, Power Automate, Power BI) with an emphasis on security and automation, along with utilizing GitHub Actions
  • Contribute to secure development standards, operational documentation, and support procedures
  • Work across teams developing Esri's SaaS, desktop, and enterprise server products, along with the extensions and apps hosted inside of them covering various domains of geospatial data and operations
  • Work across a diverse set of development and CI/CD practices and technologies, utilizing a variety of software languages, to improve their security and compliance

Requirements

  • 2+ years of DevOps or DevSecOps engineering experience, preferably in cloud-based SaaS
  • Experience with DevOps/DevSecOps practices, including IaC and automation-first design
  • Experience building and operating CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI)
  • AI driven exploit discovery & analysis, AI code review
  • Proficiency with Linux and Windows, including Bash and PowerShell scripting
  • Hands-on experience with Terraform and Ansible
  • Experience integrating and automating web and cloud APIs
  • Experience administering security tools and integrating them into pipelines
  • Strong understanding of package management, dependency control, and supply-chain security
  • Experience with Docker and container-based workflows
  • Proficiency with Git/GitHub, including branching and code reviews
  • Experience implementing monitoring, logging, and alerting in cloud environments
  • Experience applying secure development practices in a SaaS environment
  • Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field

Recommended Qualifications

  • Master's degree in Computer Science, Engineering, Information Systems, Data Science, or related field
  • Security or technical certifications (such as CISSP, SSCP, GIAC, CEH, OSCP) are desirable
  • Experience with AI agents, AI-assisted development, and AI security
  • Knowledge of security frameworks such as OWASP Top 10, SANS Top 25, BSIMM, and CISA Secure Development Guidance
  • Experience integrating test automation (such as Selenium) into CI/CD pipelines
  • Familiarity with compliance frameworks (NIST, ISO 27001, FedRAMP, FIPS)
  • Experience supporting regulated environments and audit readiness
  • Strong collaboration and communication skills
  • Familiarity with Esri software
  • Familiarity with Jenkins

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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