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Artificial Intelligence Developer Jobs in California

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

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Artificial Intelligence Developer information

See California salary details

$30.8K

$118.8K

$181.6K

How much do artificial intelligence developer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for artificial intelligence developer in California is $118,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,661.00 and $150,801.00 per year, depending on experience, location, and employer.

How much do AI devs make?

Artificial Intelligence developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools may command higher salaries. Many AI developers also benefit from bonuses, stock options, and benefits based on their employer and level of expertise.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Developer, and why are they important?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by Artificial Intelligence Developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What does an artificial intelligence developer do?

An artificial intelligence developer designs, develops, and implements AI models and algorithms to solve complex problems. They work with machine learning frameworks, programming languages like Python, and data analysis tools to create intelligent systems such as chatbots, recommendation engines, and predictive models. Strong programming skills, knowledge of data structures, and understanding of AI concepts are essential for this role.

What are Artificial Intelligence Developers?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

What is the difference between Artificial Intelligence Developer vs Data Scientist?

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

Which 3 jobs will survive AI?

Artificial Intelligence Developers are likely to continue to find roles in designing, training, and maintaining AI systems, as human oversight and creativity remain essential. Other resilient jobs include healthcare professionals, such as doctors and nurses, and skilled tradespeople like electricians and plumbers, which require hands-on work and complex problem-solving that AI cannot easily replicate.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation reflecting expertise and impact.
What are the most commonly searched types of Artificial Intelligence Developer jobs in California? The most popular types of Artificial Intelligence Developer jobs in California are:
Infographic showing various Artificial Intelligence Developer job openings in California as of June 2026, with employment types broken down into 75% Full Time, and 25% Temporary. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $118,802 per year, or $57.1 per hour.
Business Intelligence Developer-Analyst

Business Intelligence Developer-Analyst

SkyOne Federal Credit Union

Hawthorne, CA • On-site

$98K - $125K/yr

Full-time

Posted 23 days ago


Job description

Join SkyOne Federal Credit Union as a Business Intelligence Developer-Analyst in Hawthorne, CA, where you'll be at the forefront of transforming data into actionable insights that enhance member experiences. Dive into a dynamic environment that champions innovation and accountability, allowing you to push boundaries while leveraging your analytical skills. Here, you will collaborate with a like-minded team dedicated to improving members' lives through tailored financial solutions.

This onsite role not only fosters collaboration but also positions you to make a direct impact. With a competitive salary range of $98,000 - $125,000, you'll be rewarded for your expertise and commitment to performance. Don't miss the opportunity to shape the future of financial services while expanding your own professional horizons.

Apply now and be a vital part of our mission-driven team!

Day to day as a Business Intelligence Developer-Analyst

As a Business Intelligence Developer-Analyst at SkyOne Federal Credit Union, you will play a critical role in shaping our data-driven decision-making processes. Your primary responsibilities will include designing, developing, and maintaining business intelligence solutions that align with our commitment to performance and innovation. Working closely with business stakeholders, you will translate their needs into technical specifications, ensuring the creation of optimized BI and Enterprise Data Warehouse reports and dashboards. Your expertise will be essential in maintaining the integrity and security of our data analytics platforms.

We are seeking a candidate with strong analytical, technical, and communication skills, who is passionate about harnessing data and artificial intelligence to enhance business performance and deliver exceptional value to our members. Join us in our mission to provide meaningful financial solutions tailored to our members' needs.

What you need to be successful

To thrive as a Business Intelligence Developer-Analyst at SkyOne Federal Credit Union, a blend of technical and analytical skills is essential. Proficiency in SQL Server and experience with BI tools such as reporting tools, dashboards, and data visualization software is crucial. The ability to collaborate effectively with business users and cross-functional teams to gather and analyze requirements will help translate those needs into impactful BI and AI-powered solutions. Familiarity with AI/ML models is important, as you will integrate them into BI assets to enhance analytics capabilities. Skills in querying, reporting, and implementing generative AI tools for interactive data exploration will position you for success.

Additionally, knowledge of cloud AI/ML deployment, along with unit testing and quality assurance practices on BI models, will be necessary. Candidates must also ensure compliance with federal regulations, uphold responsible AI principles, and demonstrate a commitment to maintaining a clean and safe work environment.

QUALIFICATIONS
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of experience as a BI Developer, Data Analyst, or similar role.
  • Experience in data warehouse design, ETL processes, and data modeling (e.g., star, snowflake schemas).
  • Proficiency with BI tools (e.g., Power BI, Tableau, Cognos, MicroStrategy, or similar).
  • Hands on development and support experience with the Jack Henry Advanced Reporting for Credit Unions (ARCU) Data Warehouse product a plus.
  • Strong knowledge of SQL, database management systems, and reporting services (e.g., SSRS, SSIS).
  • Experience with data integration, data mining, and OLAP technologies.
  • Experience with AI agents or autonomous analytics tools and AI-ready data preparation.
  • Practical knowledge of cloud AI/ML platforms (Azure, AWS, Google Cloud).
  • Understanding of AI ethics, data bias mitigation, explainability, and AI governance practices.
  • Effective troubleshooting, analytical, and problem-solving skills.
  • Ability to work autonomously, as a team member, and in a cross-functional capacity.
  • Excellent written and verbal communication skills.
  • Previous work experience at banks, credit unions, or other financial service institutions preferred.
  • Ability to exercise discretion and independent judgement.
  • Must have high level of interpersonal skills to handle sensitive and confidential situations.
Join our team today!

So, what do you think? If you can meet these requirements and perform this job as described above, we would be happy to have you as part of our team!


Job Posted by ApplicantPro