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Associate Ai Engineer Jobs in California (NOW HIRING)

East West Bank

Senior AI Engineer

Pasadena, CA · On-site

$150K/yr

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Overview East West Bank is seeking an experienced Senior AI Engineering to design, build, and ...

Artera

Associate AI Builder

Santa Barbara, CA

$80K - $140K/yr

ABOUT THE OPPORTUNITY Artera is hiring an Associate AI Builder to build the agentic systems that ... Requirements * 0 - 3 years of professional software engineering, data science, machine learning ...

Scout AI

Senior AI Engineer

Sunnyvale, CA · On-site +1

$122K - $168K/yr

The Role We're looking for a Senior or Staff AI Engineer to join the Fury Orchestration Team with a ... Backed by Draper Associates, Booz Allen Ventures, and other top investors Benefits * Competitive ...

Deloitte

Associate AI Solution Architect

Costa Mesa, CA · On-site

$67.50 - $89/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Solution and AI Architect - AI & Engineering/EaaS Associate Architect Join our AI & Engineering ...

Artera

Associate AI Builder

Santa Barbara, CA · On-site

ABOUT THE OPPORTUNITY Artera is hiring an Associate AI Builder to build the agentic systems that ... Requirements * 0 - 3 years of professional software engineering, data science, machine learning ...

Artera

Associate AI Builder

Santa Barbara, CA · On-site

$80K - $140K/yr

ABOUT THE OPPORTUNITY Artera is hiring an Associate AI Builder to build the agentic systems that ... Requirements * 0 - 3 years of professional software engineering, data science, machine learning ...

Deloitte

Associate AI Solution Architect

Sacramento, CA · On-site

$67.25 - $88.50/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Solution and AI Architect - AI & Engineering/EaaS Associate Architect Join our AI & Engineering ...

Deloitte

Associate AI Solution Architect

Los Angeles, CA · On-site

$68 - $89.50/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Solution and AI Architect - AI & Engineering/EaaS Associate Architect Join our AI & Engineering ...

Capital One

Staff AI Engineer

San Jose, CA · On-site

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our ...

New

Deloitte

Associate AI Solution Architect

San Diego, CA · On-site

$67 - $88/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Solution and AI Architect - AI & Engineering/EaaS Associate Architect Join our AI & Engineering ...

Deloitte

Associate AI Solution Architect

San Francisco, CA · On-site

$74.25 - $97.75/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Solution and AI Architect - AI & Engineering/EaaS Associate Architect Join our AI & Engineering ...

Capital One

Distinguished AI Engineer

San Francisco, CA · On-site

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our ...

Capital One

Distinguished AI Engineer

San Francisco, CA · On-site

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our ...

Capital One

Lead AI Engineer

San Jose, CA

$120K - $158K/yr

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our ...

Capital One

Lead AI Engineer

San Jose, CA · On-site

$120K - $158K/yr

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our ...

Capital One

Lead AI Engineer

San Jose, CA · On-site

$120K - $158K/yr

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our ...

Capital One

Distinguished AI Engineer

San Jose, CA · On-site

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our ...

Capital One

Staff AI Engineer

San Francisco, CA · On-site

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our ...

New

Capital One

Senior AI Engineer

San Jose, CA · On-site

$122K - $168K/yr

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our ...

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Showing results 21-40

All JobsAssociate Ai Engineer JobsAssociate Ai Engineer Jobs in California

Associate Ai Engineer information

See California salary details

$41K

$81.6K

$130.3K

How much do associate ai engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for associate ai engineer in California is $81,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $93,800.00 per year, depending on experience, location, and employer.

What does an Associate AI Engineer do?

An Associate AI Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers to build machine learning algorithms, preprocess data, and test AI solutions. Their responsibilities often include writing code, evaluating model performance, and collaborating with data scientists and software developers. This entry-level role provides hands-on experience in AI technologies and helps build a foundation for more advanced engineering positions.

What are the key skills and qualifications needed to thrive as an Associate AI Engineer?

To thrive as an Associate AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, probability, statistics), and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms such as AWS or Google Cloud are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help distinguish top performers in this role. These skills and qualities are essential for successfully developing, implementing, and maintaining AI solutions in a collaborative and rapidly evolving environment.

What are some common challenges an Associate AI Engineer may face when working on real-world machine learning projects?

As an Associate AI Engineer, you may encounter challenges such as handling imperfect or limited datasets, balancing model performance with computational constraints, and integrating AI solutions into existing products. Collaboration with data scientists, software engineers, and product managers is crucial to refine objectives and ensure technical feasibility. Additionally, keeping up with evolving AI frameworks and best practices can be demanding, but it provides valuable learning opportunities and skill growth.

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

AspectAssociate Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, startups, R&D teams; focus on AI model developmentResearch labs, tech firms, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles in tech, healthcare, financeData analysis across industries like marketing, finance, healthcare

Associate Ai Engineers typically focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Associate Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

How much do entry level associate AI engineers make?

Entry-level associate AI engineers typically earn between $70,000 and $90,000 annually, depending on location, education, and company size. Starting salaries may also include benefits such as health insurance and opportunities for skill development in machine learning tools and programming languages like Python or TensorFlow.

Is there a demand for associate AI engineers?

There is a strong and growing demand for associate AI engineers as industries increasingly adopt artificial intelligence and machine learning technologies. Entry-level roles often require knowledge of programming languages like Python, familiarity with AI frameworks, and relevant certifications, making it a promising career path for those with technical skills and a background in data science or software development.

What jobs can you get with an associate AI engineer?

An associate AI engineer can qualify for roles such as AI developer, machine learning technician, data analyst, or AI support specialist. These positions typically require knowledge of programming languages like Python, familiarity with AI frameworks, and understanding of data processing. Entry-level roles often involve assisting in developing, testing, and maintaining AI models and systems.

What are the most commonly searched types of Ai Engineer jobs in California?

The most popular types of Ai Engineer jobs in California are:

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

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

Associate Ai Engineer jobs near you
Infographic showing various Associate Ai Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $81,554 per year, or $39.2 per hour.

Senior AI Engineer

East West Bank

Pasadena, CA • On-site

$150K/yr

Full-time

Re-posted 12 days ago

East West Bank rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

118th of 175 rated banks

Job description

Introduction
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.
Overview
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.
Responsibilities
  • 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.

Qualifications
  • 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.
Compensation
The base pay range for this position is USD $150,000.00/Yr. - USD $275,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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