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Ai Integration Engineer Jobs in California (NOW HIRING)

Meta

Systems Integration Engineer

Menlo Park, CA

$173K/yr

The candidate shall also have good knowledge of the AI/ML system architecture at the block level with hands-on skills to triage the systematic failures in the field.This role will interact with cross ...

AllSTEM Connections

Integration Engineer

San Francisco, CA · On-site

$145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Modern Engineering (AI-Driven): Actively apply AI tooling to accelerate IaC development, optimize pipeline configurations, refactor scripts, and troubleshoot complex integration issues. Cloud ...

Crusoe

Senior API Integration Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Crusoe

Senior API Integration Engineer

Sunnyvale, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Crusoe

Senior API Integration Engineer

Sunnyvale, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Western Digital

Integration Engineer

San Jose, CA · On-site

$119K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Western Digital

Integration Engineer

San Jose, CA

$121K - $164K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Hammerhead AI

Industrial IoT Integration Engineer

Redwood City, CA · On-site

$127K - $171K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About Hammerhead We're unleashing AI with intelligent orchestration while addressing one of the ... News & Blogs Role Description As an Industrial IoT Integration Engineer, you will build the ...

nEye.ai

Senior Foundry Integration Engineer

Santa Clara, CA · On-site

$170K - $220K/yr

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 ...

nEye.ai

Senior Foundry Integration Engineer

Santa Clara, CA · On-site

$170K - $220K/yr

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 ...

Apple, Inc.

Software Integration Engineer, Siri

Cupertino, CA · On-site

$128K - $172K/yr

As part of the Siri organization, you will help shape one of the world's most widely used AI ... The Siri Integration Engineering team keeps that pipeline healthy across all of them - coordinating ...

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Showing results 21-40

All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in California

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 Aug 15, 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 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 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:

Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in California as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $122,648 per year, or $59 per hour.

Partner Engineer, Generative AI Integration and Distribution

Meta

Burlingame, CA • Remote

$149K/yr

Full-time

Re-posted 28 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

We are seeking a Partner Engineer to join Meta’s GenAI Integration and Distribution team, focused on enabling strategic partners to succeed with our generative AI products and platforms. As a GenAI Partner Engineer, you will be a subject matter expert on generative AI and our tool stack, and work closely with external partners to understand their technical requirements, design and ship solutions, and ensure seamless integration with our products. You will be responsible for driving technical engagements, inventing new generative AI assets, building strong relationships with partners, and identifying opportunities to grow partnerships.
Partner Engineer, Generative AI Integration and Distribution Responsibilities:
  • The Partner Engineer role on Meta’s GenAI Integration and Distribution team is a key technical position focused on enabling strategic external partners to successfully leverage Meta's generative AI products and platforms. The person in this role is a subject matter expert in generative AI and Meta's tool stack, responsible for driving technical engagements, understanding partner requirements, and designing and integrating end-to-end AI solutions. This role requires a blend of technical depth, including shipping production-level code and creating technical documentation, and effective interpersonal skills, such as communicating technical concepts to non-technical audiences and aligning cross-functional stakeholders to build productive partner relationships, influence the product roadmap, and resolve complex technical and business challenges. The Partner Engineer will be a core contributor to the Meta AI developer ecosystem, mentoring peers and serving as a domain expert
  • Drive technical engagements with strategic GenAI partners to understand requirements and deliver solutions to complex problems
  • Design, build, and integrate end-to-end generative AI systems and launch-plan strategies to meet the needs of our partners
  • Use a broad range of technical and soft skills to build productive relationships with partners, and independently resolve complex technical and business needs
  • Use expertise and product insight to deliver high-quality project, integration, and partner engagements
  • Work closely with product teams, guide workflow changes, and gain consensus from stakeholders while influencing the product roadmap to meet the business needs
  • Build and manage strong working relationships with partner technical counterparts and internal cross-functional teams
  • Ship production level code, code reviews, and provide constructive feedback while quickly acting on feedback from code reviews conducted on your code
  • Create technical content, tools, and documentation to empower developers and partners
  • Contribute to the Meta AI developer ecosystem, including case studies, online courses, and best practices
  • Influence decision-making through presentation and dissemination of data-centric analyses
  • Serve as a generative AI subject matter expert within the team and provide consultation on domain-level projects
  • Mentor and share knowledge with peers, fostering collaboration and knowledge-sharing within the team
  • Participate in the interviewing and onboarding of new team members

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
  • 5+ years of experience in one or more of the following areas: Software Engineering, Artificial Intelligence, Machine Learning, or a related field
  • Development experience in languages like Python, Java, Go, Rust, C, and C++. (at least one)
  • Experience with generative AI tool stacks including LLMs such as LLaMA, GPT, Claude, etc
  • Experience working with external partners, customers, or stakeholders to understand their technical requirements and deliver solutions
  • Experience with cloud-based technologies, APIs, and data integration
  • Project management experience

Preferred Qualifications:
  • Experience communicating technical concepts to both technical and non-technical stakeholders, and experience analyzing data to inform decisions and solve complex problems
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Knowledge in one or more of the following areas: generative AI, Machine Learning, software development, data processing, programming languages, databases, networking, or operating systems
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$149,000/year to $210,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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