AI Engineer Jobs in California
AI Engineer jobs in California are among the most active in the country, concentrated in technology, healthcare AI, autonomous systems, and enterprise software across experience levels from entry-level through principal and staff engineer. San Francisco, San Jose, and Los Angeles lead hiring volume, with major employers like Google, Meta, and Salesforce running significant AI engineering teams in the state. The most in-demand specialties include large language model development, machine learning infrastructure, and computer vision. Find a role that fits below and apply directly.
Find AI Engineer JobsOverview
Open roles1,084+
Top employerTesla
Top citySan Francisco, CA
Cities hiring72
Work type43% Hybrid
Top industryTechnology
Showing 5 of 1,084+ AI Engineer jobs
Senior AI Engineer
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New 19h ago
East West Bank
Senior AI Engineer
Pasadena, California
New 19h ago
AI Engineer
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New 19h ago
East West Bank
AI Engineer
Pasadena, California
New 19h ago
Senior AI Software Engineer - Autonomous Systems
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New 20h ago
AMD
Senior AI Software Engineer - Autonomous Systems
San Jose, California
New 20h ago
Senior Machine Learning Engineer, Developer AI
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New 23h ago
ByteDance
Senior Machine Learning Engineer, Developer AI
San Jose, California
New 23h ago
Software Engineer, Consumer Health (Health AI)
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Added 1d ago
OpenAI
Software Engineer, Consumer Health (Health AI)
San Francisco, California
Added 1d ago
New 19h ago
Senior AI Engineer
East West Bank·Pasadena, California
Job functions:
$175k - $275k/yr
Bachelor's degree in engineering
1,001-5,000 employees
Job Description
Introduction:
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.
Overview:
The role is expected to be hands-on at the outset while helping establish foundational AI engineering capabilities, operating standards, and a small, high-performing AI engineering team.
Responsibilities:
AI Fluency & Hands-On LLM Skills
Preferred Qualifications
Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.
Compensation: The base pay range for this position is USD $175,000.00/Yr. - USD $275,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.
Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.
East West Bank is seeking an experienced Senior AI Engineering to design, build, and operationalize enterprise-grade AI and Generative AI solutions across the Bank. This senior technical leader will translate emerging AI capabilities into secure, scalable, production-ready banking applications that improve operational efficiency, risk management, customer experience, and employee productivity.
The role is expected to be hands-on at the outset while helping establish foundational AI engineering capabilities, operating standards, and a small, high-performing AI engineering team.
- Design, develop, and deploy enterprise AI and Generative AI applications for prioritized banking use cases (e.g., customer service, fraud detection, document processing, knowledge management, and operational efficiency)
- Architect LLM-enabled solutions spanning retrieval-augmented generation, vector search, agentic workflows, MCP, model orchestration, tool/function calling, and human-in-the-loop controls.
- Build production-grade services and APIs using Python, FastAPI or Flask, Azure OpenAI, Azure ML, Databricks, ADLS, and modern cloud-native patterns.
- Integrate AI capabilities into enterprise applications, developer workflows, knowledge management platforms, automation, analytics, and decision-support processes.
- Establish engineering practices for CI/CD, testing, model evaluation, observability, performance optimization, security, and responsible AI controls.
- Establish reusable AI engineering frameworks, reference architectures, code standards, deployment patterns, and governance controls to accelerate enterprise adoption.
- Partner with business, data, cybersecurity, risk, compliance, legal, and vendor teams to ensure solutions meet regulatory, privacy, auditability, and operational risk expectations.
- Prototype rapidly with stakeholders, convert pilots into scalable implementations, and define measurable adoption and impact metrics.
- Evaluate LLM platforms for accuracy, latency, cost, security, explainability, and fit for regulated enterprise use cases.
- Support hiring, mentoring, and day-to-day technical leadership of AI engineers and cross-functional delivery teams.
- Stay current with emerging AI technologies and advise leadership on practical opportunities, risks, and implementation tradeoffs.
- Perform other duties as assigned.
AI Fluency & Hands-On LLM Skills
- Hands-on experience with major LLM platforms, including OpenAI ChatGPT/Codex, Anthropic Claude, Google Gemini, Microsoft Copilot/Azure OpenAI, AWS Bedrock, and open-source models such as Llama or Mistral.
- Practical experience with prompt engineering, RAG, embeddings, vector databases, LLM orchestration frameworks, agentic workflows, evaluation frameworks, and hallucination mitigation.
- Ability to design AI applications that include data protection, source validation, access control, logging, monitoring, traceability, and human review where appropriate.
- Strong understanding of Responsible AI, model governance, prompt-injection risks, data privacy, and production controls for LLM-enabled solutions.
- Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience; advanced degree preferred.
- 10+ years of progressive experience in software engineering, AI engineering, platform engineering or related technology leadership roles, including experience delivering production AI solutions
- Proven experience leading AI, data, automation, or emerging technology initiatives from strategy and experimentation through production delivery.
- Strong hands-on engineering background in Python, API design, microservices, cloud architecture, distributed systems, data pipelines, CI/CD, testing, observability, and secure software delivery.
- Deep experience with the Azure ecosystem, including Azure OpenAI, Azure ML, Databricks, ADLS, Azure AI Search, and related enterprise integration patterns.
- Experience with LLM frameworks and tooling such as LangChain, LlamaIndex, Semantic Kernel, vector databases, model registries, evaluation frameworks, and monitoring/observability tools.
- Strong process and data discipline, including data quality, lineage, metadata, workflow design, controls, operational risk, and measurable business outcomes.
- Experience in financial services, banking, fintech, insurance, or another regulated industry with strong understanding of compliance, auditability, risk management, and governance.
- Ability to lead cross-functional teams, influence senior stakeholders, mentor engineers, and translate complex AI capabilities into practical business solutions.
- Strong executive communication skills, including the ability to define AI roadmaps, operating models, standards, adoption plans, and success metrics.
Preferred Qualifications
- Master's degree in AI, Computer Science, Data Science, Engineering, or a related field.
- Experience establishing AI engineering teams, platforms, reusable delivery patterns, and enterprise AI standards.
- Experience with copilots, enterprise search, intelligent document processing, workflow automation, and AI-enabled knowledge management.
- Experience driving AI vendor evaluation and selection processes within regulated environments
- Familiarity with model risk management, third-party/vendor risk, privacy impact assessments, and regulated technology delivery.
- Experience with MLOps/LLMOps, AI monitoring, evaluation pipelines, model/prompt registries, and production incident management.
- Track record of mentoring senior engineers and building high-performing technical teams.
Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.
East West Bank
Senior AI Engineer
Pasadena, California
New 19h ago1,001-5,000 employees
Job functions:
$175k - $275k/yr
Bachelor's degree in engineering
Job Description
Introduction:
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.
Overview:
The role is expected to be hands-on at the outset while helping establish foundational AI engineering capabilities, operating standards, and a small, high-performing AI engineering team.
Responsibilities:
AI Fluency & Hands-On LLM Skills
Preferred Qualifications
Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.
Compensation: The base pay range for this position is USD $175,000.00/Yr. - USD $275,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.
Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.
East West Bank is seeking an experienced Senior AI Engineering to design, build, and operationalize enterprise-grade AI and Generative AI solutions across the Bank. This senior technical leader will translate emerging AI capabilities into secure, scalable, production-ready banking applications that improve operational efficiency, risk management, customer experience, and employee productivity.
The role is expected to be hands-on at the outset while helping establish foundational AI engineering capabilities, operating standards, and a small, high-performing AI engineering team.
- Design, develop, and deploy enterprise AI and Generative AI applications for prioritized banking use cases (e.g., customer service, fraud detection, document processing, knowledge management, and operational efficiency)
- Architect LLM-enabled solutions spanning retrieval-augmented generation, vector search, agentic workflows, MCP, model orchestration, tool/function calling, and human-in-the-loop controls.
- Build production-grade services and APIs using Python, FastAPI or Flask, Azure OpenAI, Azure ML, Databricks, ADLS, and modern cloud-native patterns.
- Integrate AI capabilities into enterprise applications, developer workflows, knowledge management platforms, automation, analytics, and decision-support processes.
- Establish engineering practices for CI/CD, testing, model evaluation, observability, performance optimization, security, and responsible AI controls.
- Establish reusable AI engineering frameworks, reference architectures, code standards, deployment patterns, and governance controls to accelerate enterprise adoption.
- Partner with business, data, cybersecurity, risk, compliance, legal, and vendor teams to ensure solutions meet regulatory, privacy, auditability, and operational risk expectations.
- Prototype rapidly with stakeholders, convert pilots into scalable implementations, and define measurable adoption and impact metrics.
- Evaluate LLM platforms for accuracy, latency, cost, security, explainability, and fit for regulated enterprise use cases.
- Support hiring, mentoring, and day-to-day technical leadership of AI engineers and cross-functional delivery teams.
- Stay current with emerging AI technologies and advise leadership on practical opportunities, risks, and implementation tradeoffs.
- Perform other duties as assigned.
AI Fluency & Hands-On LLM Skills
- Hands-on experience with major LLM platforms, including OpenAI ChatGPT/Codex, Anthropic Claude, Google Gemini, Microsoft Copilot/Azure OpenAI, AWS Bedrock, and open-source models such as Llama or Mistral.
- Practical experience with prompt engineering, RAG, embeddings, vector databases, LLM orchestration frameworks, agentic workflows, evaluation frameworks, and hallucination mitigation.
- Ability to design AI applications that include data protection, source validation, access control, logging, monitoring, traceability, and human review where appropriate.
- Strong understanding of Responsible AI, model governance, prompt-injection risks, data privacy, and production controls for LLM-enabled solutions.
- Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience; advanced degree preferred.
- 10+ years of progressive experience in software engineering, AI engineering, platform engineering or related technology leadership roles, including experience delivering production AI solutions
- Proven experience leading AI, data, automation, or emerging technology initiatives from strategy and experimentation through production delivery.
- Strong hands-on engineering background in Python, API design, microservices, cloud architecture, distributed systems, data pipelines, CI/CD, testing, observability, and secure software delivery.
- Deep experience with the Azure ecosystem, including Azure OpenAI, Azure ML, Databricks, ADLS, Azure AI Search, and related enterprise integration patterns.
- Experience with LLM frameworks and tooling such as LangChain, LlamaIndex, Semantic Kernel, vector databases, model registries, evaluation frameworks, and monitoring/observability tools.
- Strong process and data discipline, including data quality, lineage, metadata, workflow design, controls, operational risk, and measurable business outcomes.
- Experience in financial services, banking, fintech, insurance, or another regulated industry with strong understanding of compliance, auditability, risk management, and governance.
- Ability to lead cross-functional teams, influence senior stakeholders, mentor engineers, and translate complex AI capabilities into practical business solutions.
- Strong executive communication skills, including the ability to define AI roadmaps, operating models, standards, adoption plans, and success metrics.
Preferred Qualifications
- Master's degree in AI, Computer Science, Data Science, Engineering, or a related field.
- Experience establishing AI engineering teams, platforms, reusable delivery patterns, and enterprise AI standards.
- Experience with copilots, enterprise search, intelligent document processing, workflow automation, and AI-enabled knowledge management.
- Experience driving AI vendor evaluation and selection processes within regulated environments
- Familiarity with model risk management, third-party/vendor risk, privacy impact assessments, and regulated technology delivery.
- Experience with MLOps/LLMOps, AI monitoring, evaluation pipelines, model/prompt registries, and production incident management.
- Track record of mentoring senior engineers and building high-performing technical teams.
Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.
See All 1,084+ AI Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
San Francisco Bay Area
21 jobsFremont
18 jobsMilpitas
16 jobsMenlo Park
16 jobsRedwood City
15 jobsHawthorne
13 jobsEl Segundo
10 jobsSacramento
9 jobsSan Mateo
8 jobsLong Beach
8 jobsPleasanton
7 jobsFoster City
7 jobsVista
6 jobsRedlands
6 jobsLos Altos
6 jobsSan Ramon
6 jobsSanta Ana
6 jobsEmeryville
6 jobsBeverly Hills
6 jobsOakland
5 jobsBurlingame
5 jobsSan Carlos
5 jobsAlameda
3 jobsPasadena
3 jobsPoway
2 jobsGoleta
2 jobsBerkeley
2 jobsAliso Viejo
2 jobsWalnut Creek
2 jobsRancho Cordova
2 jobsWoodland Hills
2 jobsManhattan Beach
2 jobsSouth San Francisco
2 jobsBrea
1 jobNorco
1 jobDublin
1 jobFolsom
1 jobTustin
1 jobConcord
1 jobOntario
1 jobCampbell
1 jobLakewood
1 jobSaratoga
1 jobVan Nuys
1 jobCamarillo
1 jobHollywood
1 jobLos Gatos
1 jobBuena Park
1 jobCosta Mesa
1 jobSanta Rosa
1 jobSouth Gate
1 jobTravis AFB
1 jobUnion City
1 jobCulver City
1 jobPaso Robles
1 jobPort Hueneme
1 jobSanta Monica
1 jobThousand Oaks
1 jobSilicon Valley
1 jobVandenberg AFB
1 jobSan Luis Obispo
1 jobRancho Santa Margarita
1 jobAI Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Tesla65
- Google64
- Apple56
- TikTok46
- OpenAI24
Top Industries Hiring
- Technology & Software121
- Electronics & Hardware41
- Banking & Financial Services19
- Manufacturing18
- Consulting & Professional Services15
What California Employers Look For
The qualifications that appear most often in AI engineer jobs across California.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
- Hands-on experience designing, training, and deploying machine learning models in production
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Experience with MLOps practices, model monitoring, and CI/CD pipelines for ML systems
- Strong understanding of data engineering fundamentals, including feature engineering and data pipelines
AI Engineer Jobs in California: Frequently Asked Questions
How do you become a ai engineer in California?
There is no state-issued license required to work as an ai engineer in California. Most hiring managers expect at minimum a bachelor's degree in computer science, electrical engineering, or a closely related field, though many California employers in competitive markets weight demonstrated project work and published model contributions heavily. Building a portfolio of end-to-end ML projects and contributing to open-source repositories are the most effective ways to stand out when applying in California.
Which companies hire ai engineers in California?
Employers hiring ai engineers in California right now include Tesla, Google, and Apple, based on current listings on Migrate Mate as of September 2026. California's concentration of technology headquarters and research labs means the state consistently produces some of the highest volumes of ai engineer openings nationwide.
Which California cities have the most ai engineer jobs?
San Francisco, San Jose, and Palo Alto have the most ai engineer openings in California. The San Francisco Bay Area dominates because of its dense concentration of technology headquarters and AI-focused startups, while Los Angeles is driven by growth in media tech, autonomous vehicles, and enterprise software companies that have expanded engineering operations there.
Are there remote ai engineer jobs in California?
Yes, and more than most fields. About 57% of ai engineer openings tied to California are remote or hybrid as of September 2026, reflecting how much of the work involves code, model training, and data pipelines that translate well to distributed teams. Research-heavy and infrastructure roles tend to offer the most location flexibility.
How can I get hired as a ai engineer in California with little or no experience?
The most realistic entry path is through an associate or junior machine learning engineer role, often posted by large California employers like Google, Apple, and Nvidia alongside their senior openings. Many of these companies run new-grad programs that accept candidates with strong project portfolios in place of work history. Adjacent roles in data analytics, data engineering, or software engineering at California technology firms are a proven lateral route, and completing a recognized deep learning or ML engineering certificate gives applicants a measurable credential to reference in applications.
Where can I find and apply to ai engineer jobs in California?
You can find and apply to ai engineer jobs in California on Migrate Mate, which lists current California openings. Find roles that fit your background and apply directly from the listings on this page.
See All 1,084+ AI Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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