ZipRecruiter

Log In

1

Gen Ai Engineer Jobs in California (NOW HIRING)

Qualitest Group

Gen AI Architect

Santa Clara, CA · On-site

$74.50 - $98/hr

Are you interested in working with the World's leading AI-first Quality Engineering Company? Ready ... We are looking for a Gen AI Architect to join our growing team in United States! Job Overview: We ...

Namely

AI Engineer

Mountain View, CA · On-site

$140 - $200/hr

Build advanced Gen AI applications using prompt engineering, RAG (Retrieval-Augmented Generation) patterns, fine-tuning, and multi-agent systems. * Develop intelligent workflows using Azure Agentic ...

Qualitest Group

Gen AI Architect

Santa Clara, CA · On-site

$74.50 - $98/hr

The Digital Engineering Gen AI Architect - North America will to lead the design, architecture, and delivery of enterprise-grade AI solutions powered by Large Language Models (LLMs), multi-modal AI ...

Saransh Inc

Junior Gen AI Engineer

Santa Clara, CA · On-site

Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. * Architect and implement ...

Cotality

Principal, AI Engineering

Irvine, CA · On-site

We are seeking a highly motivated and self-driven AI Engineer with a strong background in building scalable Gen AI/Agentic AI data engineering solutions. The ideal candidate brings deep expertise in ...

Perficientcorp Inc

Lead Gen AI Engineer

Irvine, CA · On-site

$55 - $60/hr

Lead AI/GenAI Engineer. Location: Irvine, CA (3 days onsite/week) Duration: 6 Months Job Summary Seeking an experienced specialized in AI or GenAI Research with 7 to 11 years of expertise in AI ...

Cynet Systems

Gen AI Front End Engineer

San Francisco, CA · On-site

$88.50 - $93.50/hr

Gen AI Front End Engineer Job Location: South San Francisco CA Job Type: Contract Job Overview: Pay Range: $88.50hr - $93.5hr Requirement/Must Have: * Strong React and TypeScript production ...

New

next page

Showing results 1-20

All JobsGen Ai Engineer JobsGen Ai Engineer Jobs in California

Gen Ai Engineer information

See California salary details

$58.7K

$110.2K

$200.3K

How much do gen ai engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for gen ai engineer in California is $110,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a Gen AI engineer?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

What are the key skills and qualifications needed to thrive as a Gen AI engineer?

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are some common challenges Gen AI engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.

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

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

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

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

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

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

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

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

Gen Ai Engineer jobs near you
Infographic showing various Gen Ai Engineer job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $110,170 per year, or $53 per hour.

Gen AI Architect

Qualitest Group

Santa Clara, CA • On-site

$74.50 - $98/hr

Full-time

Re-posted 13 days ago

Job description

Are you interested in working with the World's leading AI-first Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI!
We are looking for a Gen AI Architect to join our growing team in United States!
Job Overview:
We are seeking a Generative AI Architect to lead the design, architecture, and delivery of enterprise-grade AI solutions powered by Large Language Models (LLMs), multi-modal AI, and Retrieval-Augmented Generation (RAG) pipelines. The ideal candidate will combine deep technical expertise in AI/ML systems with proven experience in enterprise architecture, ensuring solutions are scalable, secure, compliant, and aligned with business goals.
This role involves defining the technical roadmap for Generative AI initiatives, selecting and integrating AI frameworks, orchestrating model lifecycle management, and guiding cross-functional teams to deliver production-ready Gen AI solutions. You will be the go-to expert for translating high-level business needs into robust, future-proof AI architectures.
Key Responsibilities:
  • Architect Gen AI Systems - Design and evolve architectures for LLM-powered applications, RAG workflows, multi-agent AI, and vector search integration.
  • Technology Evaluation - Select and recommend AI frameworks, vector databases (Weaviate, Pinecone, Milvus), and orchestration tools (LangChain, LangGraph) that meet performance, scalability, and compliance needs.
  • Prompt & Model Strategy - Define prompt engineering standards, fine-tuning approaches, and model governance guidelines for consistent and reliable outputs.
  • Scalable API Design - Architect secure, high-performance RESTful APIs (e.g., FastAPI) for AI service integration.
  • Data Architecture - Oversee the design and preparation of large, complex datasets (structured/unstructured) for training, fine-tuning, and inference.
  • Cloud AI Integration - Architect and deploy AI workloads on AWS (Bedrock, SageMaker), Azure (OpenAI, ML), or GCP (Vertex AI) with multi-cloud readiness.
  • Security & Compliance - Ensure solutions adhere to enterprise security policies, AI governance frameworks, and data privacy regulations (GDPR, HIPAA, SOC 2).
  • Performance Optimization - Implement GPU optimization, model quantization, caching strategies, and distributed inference for real-time workloads.
  • Leadership & Mentorship - Guide engineering and data science teams on best practices in Gen AI architecture, scalability, and ethical AI.

Required Skills and Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or related technical discipline.
  • 10+ years in software development/architecture, with 3+ years in AI/ML and at least 2 years in Generative AI system design.
  • Proven experience architecting and deploying enterprise-scale LLM-based applications.
  • Expertise in RAG techniques, vector database design, and semantic search optimization.
  • Strong Python proficiency and familiarity with other enterprise languages (Java, C#, Go).
  • Proficiency with Generative AI libraries and frameworks (LangChain, Hugging Face, Transformers).
  • In-depth knowledge of REST API design, microservices, and event-driven architecture.
  • Hands-on with multi-cloud AI services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
  • Experience in MLOps, CI/CD automation (Azure DevOps, GitHub Actions, Jenkins, GitLab CI).
  • Strong problem-solving, analytical, and communication skills.

Preferred Qualifications:
  • Prior work with regulated industry data (finance, healthcare, insurance).
  • Experience integrating multi-modal AI (text, image, audio, video) into enterprise solutions.
  • Familiarity with open-source LLMs (LLaMA, Mistral, Ollama).
  • AI and cloud architecture certifications (AWS ML Specialty, Azure AI Engineer Associate).

Benefits:
Why QualityAI?
QualityAI is an AI-first quality engineering company helping enterprises deploy and scale complex systems with greater confidence. Operating across data, models, platforms, infrastructure, and operational environments, the company provides assurance and engineering expertise that helps organizations ensure systems perform reliably in real-world conditions.
Formerly Qualitest, QualityAI supports global enterprises across regulated and technology-driven industries, combining deep engineering heritage with AI-enabled delivery, operational assurance, and lifecycle expertise to help clients achieve certainty at go-live.
  • Be a part of a company who strives to support for diversity and inclusion in the workplace - we are one, we are many at QualityAI. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.
  • Local and global opportunities - we offer you internal rotation and international mobility opportunities to grow your career.
  • Clear view of your career and progression with the company - QualityAI is growing massively (since Jan 2021 - added more than 2000 engineers) and giving you the opportunity to grow with us.
  • Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.
  • Never stop experimenting and learning with QualityAI Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more.
  • Earn bonuses via our Client Referral and Employee Referral Program's. Refer and earn - tap your network for net-worth.
  • A Competitive pay, the salary range for the role is $180,000 - $200,000.

If you like what you have read, send us your resume and let's start talking!
Intrigued to find more about us?
Visit our website at https://www.QualityAIgroup.com/
If you like what you have read, send us your resume and let's start talking!
LinkedIn: https://www.linkedin.com/company/qualityaigroup

Apply