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Ai Automation Developer Jobs in California (NOW HIRING)

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Ai Automation Developer information

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How much do ai automation developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for ai automation developer in California is $51.39, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $59.09 per hour, depending on experience, location, and employer.

What is the difference between Ai Automation Developer vs Data Scientist?

AspectAi Automation DeveloperData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; knowledge of AI/ML toolsBachelor's or higher in Statistics, Math, or CS; proficiency in data analysis and ML
Work EnvironmentDevelops AI automation solutions, often in tech or enterprise settingsAnalyzes data to extract insights, often in research or analytics teams
Employer & Industry UsageTech companies, automation firms, industries adopting AI solutionsResearch institutions, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, Ai Automation Developers focus on creating automated AI systems to streamline processes, whereas Data Scientists analyze data to inform business decisions. The roles often overlap but serve different primary functions within organizations.

Is AI automation a good career?

AI automation is a growing field with strong demand for professionals such as AI automation developers, who design and implement automated systems using machine learning and programming skills. It offers opportunities in various industries, competitive salaries, and the chance to work on innovative technologies, making it a promising career choice for those interested in technology and problem-solving.

What is the salary of AI automation developer?

The salary of an AI automation developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, programming, and automation tools like Python and TensorFlow tend to earn higher salaries.

What jobs can I do with AI automation?

AI Automation Developers can work in roles such as AI engineer, machine learning engineer, data scientist, automation analyst, or robotics process automation (RPA) developer. These jobs involve designing, implementing, and maintaining AI-driven systems, often requiring skills in programming, data analysis, and familiarity with AI tools like Python, TensorFlow, or UiPath.

What cities in California are hiring for Ai Automation Developer jobs?

Cities in California with the most Ai Automation Developer job openings:

Ai Automation Developer jobs near you
Infographic showing various Ai Automation Developer 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 $106,893 per year, or $51.4 per hour.

Generative AI Automation Engineer - Remote Job

Arcata, CA • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 21 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply