1

Ai Integration Engineer Jobs in California (NOW HIRING)

As the only vertically integrated AI infrastructure company built from the ground up, we own and ... About This Role We're seeking a Senior API Integration Engineer to serve as a strategic technical ...

As the only vertically integrated AI infrastructure company built from the ground up, we own and ... About This Role We're seeking a Senior API Integration Engineer to serve as a strategic technical ...

As the only vertically integrated AI infrastructure company built from the ground up, we own and ... About This Role We're seeking a Senior API Integration Engineer to serve as a strategic technical ...

Senior Integration Engineer

Concord, CA ยท On-site

$120 - $150/hr

This is a hands-on integration engineering position centered on building, configuring, and ... You will leverage modern engineering practices, including AI-assisted development tools to ...

Integration Engineer

San Jose, CA

$121K - $164K/yr

As AI scales, so does data. Every interaction, every model, every system generates data that must ... We combine deep engineering expertise with global-scale manufacturing to deliver the storage ...

Integration Engineer

San Jose, CA ยท On-site

$121K - $164K/yr

As AI scales, so does data. Every interaction, every model, every system generates data that must ... We combine deep engineering expertise with global-scale manufacturing to deliver the storage ...

Integration Engineer

San Jose, CA ยท On-site

$119K - $159K/yr

As AI scales, so does data. Every interaction, every model, every system generates data that must ... We combine deep engineering expertise with global-scale manufacturing to deliver the storage ...

Launch Integration Engineer

El Segundo, CA ยท On-site

$80 - $120/hr

Description SAIC is seeking a Launch Integration Engineer to support national security space ... Experience using AI enabled engineering tools. * Familiarity with Model Based Systems Engineering ...

Launch Integration Engineer

Chantilly, VA ยท On-site +1

$80K - $120K/yr

ORA_ON_SITE Description SAIC is seeking a Launch Integration Engineer to support national security ... Experience using AI enabled engineering tools. * Familiarity with Model Based Systems Engineering ...

About us nEye.ai, a well-funded optical switch startup, is poised to revolutionize the future of ... Role Overview We're looking for a detail-oriented Senior Foundry Integration Engineer to own the ...

About us nEye.ai, a well-funded optical switch startup, is poised to revolutionize the future of ... Role Overview We're looking for a detail-oriented Senior Foundry Integration Engineer to own the ...

About us nEye.ai, a well-funded optical switch startup, is poised to revolutionize the future of ... Role Overview We're looking for a detail-oriented Senior Foundry Integration Engineer to own the ...

Software Integration Engineer

San Diego, CA ยท On-site

$110 - $170/hr

Support GPU-enabled workload integration, including driver configuration, device plugins, and scheduling for AI/ML computing use cases. * Provide technical mentorship to junior engineers and cross ...

Showing results 21-40

Ai Integration Engineer information

See California salary details

$43.9K

$122.6K

$171.2K

How much do ai integration engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai integration engineer in California is $122,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $138,200.00 per year, depending on experience, location, and employer.

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.

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.

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 are popular job titles related to Ai Integration Engineer jobs in California?

For Ai Integration Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Integration Engineer jobs in California look for?

The top searched job categories for Ai Integration Engineer jobs in California are:

What cities in California are hiring for Ai Integration Engineer jobs?

Cities in California with the most Ai Integration Engineer job openings:

Infographic showing various Ai Integration Engineer job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $122,648 per year, or $59 per hour.

Senior API Integration Engineer

Crusoe

San Francisco, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role

We’re seeking a Senior API Integration Engineer to serve as a strategic technical partner driving enterprise-wide digital transformation through intelligent automation and scalable system integrations. This role will lead the design and delivery of mission-critical integrations across our People Tech ecosystem while setting integration standards, mentoring engineers, and partnering closely with business leaders to modernize workflows at scale.

What You’ll Be Working On

  • Architecting and building enterprise-grade integrations using the Workato ONE platform to enable intelligent workflow automation

  • Designing, developing, and maintaining deep API integrations across a broad enterprise application stack spanning business-critical systems(ERP, CRM, etc.)

  • Leveraging AI-powered automation within Workato to improve efficiency, resiliency, and predictive process optimization

  • Establishing reusable integration architecture patterns, frameworks, and governance standards that scale across both human-led and automated workflows

  • Partnering with business and IT stakeholders to gather requirements, lead discovery sessions, assess ROI, and translate complex needs into scalable technical solutions

  • Leading integration initiatives end-to-end, from concept through deployment, including sprint execution, technical reviews, and delivery accountability

  • Providing senior-level escalation support, ensuring reliability, monitoring, alerting, and incident response for critical integrations


What You’ll Bring to the Team

  • 7+ years of experience as an API Developer or Integration Engineer in enterprise environments

  • 3+ years of hands-on production experience with Workato, ideally with Workato ONE

  • Deep expertise building and operating complex Workato recipes, including error handling, monitoring, batch processing, custom connectors, SDK development, and API collections

  • Interest in and exposure to AI-assisted development workflows and intelligent automation — you don't need to be an expert, but you should be excited about where integration engineering is heading

  • Collaborating with internal software engineering teams to ensure integration patterns and API access are available for custom-built internal tools and automations

  • Proven experience integrating enterprise SaaS platforms across domains such as HCM, ERP, CRM, finance, or similar

  • Expert knowledge of enterprise integration best practices, EAI/SOA patterns, and iPaaS architectures

  • Proficiency with RESTful APIs, webhooks, JSON/XML, OAuth 2.0, SAML, SOAP, RBAC, and API security best practices

  • Experience with Agile/Scrum delivery, Jira/JSM, Confluence, and CI/CD workflows

  • Strong understanding of HR data models, compliance requirements (e.g., GDPR, SOC 2), and secure handling of sensitive PII

Bonus Points

  • Workato Foundations or Integration Developer certifications

  • Experience with leading enterprise SaaS platforms and their native integration tooling

  • Experience with additional iPaaS platforms (e.g., MuleSoft, Boomi, Informatica)

  • Background in HR technology consulting or HRIS implementations

  • General experience with cloud platforms (AWS, Azure, or GCP), IaC tools, or identity and SSO integrations

  • Experience in high-growth or highly regulated environments


Benefits:

  • Competitive compensation and equity packages

  • Restricted Stock Units

  • Paid time off, paid holidays & leave of absence programs

  • Comprehensive health, dental & vision insurance

  • Employer contributions to HSA account

  • Paid parental leave

  • Paid life insurance, short-term and long-term disability

  • Professional development & tuition reimbursement

  • Mental health & wellness support

  • Commuter benefits (parking & transit)

  • Cell phone stipend

  • 401(k) Retirement plan with company match up to 4% of salary

  • Volunteer time off

  • Global travel insurance & emergency assistance

  • Daily meals allowance

  • Additional perks & programs specific to location

Compensation Range

Compensation will be paid in the range of up to $165,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.