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Ai Automation Engineer Jobs in California (NOW HIRING)

Senior AI Automation Engineer

San Francisco, CA · On-site

$122K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior AI Automation Engineer Company: Prologis A day in the life The Senior AI Automation Engineer accelerates the delivery and adoption of practical AI solutions across Digital Experience ...

Senior AI Automation Engineer

San Francisco, CA

$122K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior AI Automation Engineer Company: Prologis A day in the life The Senior AI Automation Engineer accelerates the delivery and adoption of practical AI solutions across Digital Experience ...

We're hiring an AI Automation Engineer to find inefficiencies across the company and eliminate them -- by designing, building, and deploying AI-powered systems that free up capacity, compress ...

AI Automation Engineer

Brea, CA · On-site

$120K - $150K/yr

Know when to tell a business user that an existing AI tool or automation already solves their ... Boundaries Route to Engineering when work requires changes to our proprietary e-commerce or back ...

The Role Single Grain is hiring a high agency AI Automation Engineer to increase Revenue Per Employee by building AI powered systems that create nonlinear leverage across the company. This is not a ...

... Engineer and iterate on prompts for reliable results, and evaluate AI output for accuracy, edge ... Automation Anywhere, JavaScript, CSS, HTML, and an object-oriented language (e.g., C#/.NET) is ...

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Showing results 1-20

Ai Automation Engineer information

See California salary details

$36.5K

$105.7K

$160.9K

How much do ai automation engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ai automation engineer in California is $105,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $121,900.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

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

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.
What job categories do people searching Ai Automation Engineer jobs in California look for? The top searched job categories for Ai Automation Engineer jobs in California are:
What cities in California are hiring for Ai Automation Engineer jobs? Cities in California with the most Ai Automation Engineer job openings:
Infographic showing various Ai Automation Engineer job openings in California as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $105,723 per year, or $50.8 per hour.

Senior AI Automation Engineer

Prologis, Inc.

San Francisco, CA • On-site

$122K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

At Prologis, we don't just lead the industry-we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one-not just shaping the future of logistics but building what comes next.
Job Title:
Senior AI Automation Engineer
Company:
Prologis
A day in the life
The Senior AI Automation Engineer accelerates the delivery and adoption of practical AI solutions across Digital Experience Technology and adjacent operational teams. This role partners with stakeholders supporting public websites, authenticated portals, service operations, managed service providers, marketing technology, digital platforms, and vendor management to identify high-value opportunities and translate them into production capabilities. The engineer leads work from discovery and prototyping through deployment, adoption, measurement, and continuous improvement. By establishing reusable engineering patterns, governance practices, and enterprise AI assets, this role helps improve customer and employee experiences while reducing manual effort and operational constraints.
Key responsibilities include:
• Design and deliver AI-powered applications, agents, copilots, task assistants, and workflow automations that improve digital product delivery, customer self-service, support operations, knowledge retrieval, vendor management, and internal productivity.
• Integrate AI services with customer portals, custom applications, workflow and service management platforms, knowledge and analytics systems, procurement and contract lifecycle processes, and AWS services.
• Lead AI solutions from business discovery and rapid prototyping through production deployment, adoption, performance measurement, and continuous improvement.
• Translate business needs into scalable technical designs in partnership with Digital Experience, Customer Experience, Service Operations, Product, Platform Engineering, Vendor Management, and other stakeholders.
• Define reusable engineering patterns for prompt frameworks, retrieval-augmented generation, text-to-SQL, semantic data models, agent workflows, evaluation, guardrails, human review, and workflow orchestration.
• Build secure, reliable, observable, and cost-effective AI applications using modern software engineering practices, APIs, Model Context Protocol, agent-to-agent services, cloud services, automation frameworks, and enterprise integration patterns.
• Measure solution value through automation rate, adoption, accuracy, customer satisfaction, productivity improvement, operational savings, and return on investment, while mentoring engineers, contractors, and implementation partners.
Building blocks for success
Required:
• 6+ years of professional experience in software engineering, AI engineering, automation engineering, digital technology, data and analytics, or a related technical field.
• Demonstrated experience designing, building, and deploying AI-powered applications, agents, copilots, or workflow automation solutions.
• Experience applying generative AI, large language models, embeddings, vector databases, retrieval-augmented generation, prompt engineering, and agent workflows to business problems.
• Programming experience with Python and Node.js for APIs, automations, AI applications, Model Context Protocol servers, agent-to-agent services, and integrations.
• Experience integrating enterprise systems through APIs, JSON, webhooks, authentication, event-driven workflows, and secure data exchange.
• Experience with Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms.
• Experience with CI/CD, Infrastructure-as-Code, containers, DevOps practices, or scalable cloud deployment patterns.
• Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications, retrieval-augmented generation solutions, or agent workflows.
• Ability to independently lead technical delivery and communicate AI solutions in clear business terms to technology and operational stakeholders.
Preferred:
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Artificial Intelligence, a related technical field, or equivalent experience.
• Experience supporting customer-facing digital platforms, authenticated portals, customer self-service, or service operations workflows.
• Experience with enterprise platforms such as CRM, Drupal CMS, digital asset management, service management, marketing technology, knowledge management, contract management, or procurement systems.
• Experience designing reusable AI reference architectures, accelerators, prompt libraries, multi-agent workflows, tool-using agents, context engineering, agent memory, and human-in-the-loop processes.
• Experience working with distributed engineering teams, vendors, contractors, or implementation partners, including defining metrics for adoption, productivity, customer experience, operational savings, and return on investment.
• Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.
Hiring Salary Range of: $124,000 - $171,000. Salary and whole compensation package (bonus target) to be determined by the candidate's location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
#LI-TA1
People First
Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.
When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.
As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.
All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.
All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.
Employment Type:
Full time
Location:
San Francisco, California
Additional Locations:
Denver, Colorado

Prologis logo

About Prologis

Sourced by ZipRecruiter

Prologis is a global leader in logistics real estate, specializing in the development, ownership, and management of high-quality industrial properties. With a vast portfolio of distribution centers, warehouses, and logistics facilities, Prologis plays a crucial role in supporting the global supply chain and enabling efficient commerce. As the world's largest owner of logistics real estate, Prologis provides state-of-the-art facilities strategically located in key logistics hubs across the globe. Prologis properties are designed to meet the evolving needs of e-commerce, retail, manufacturing, and logistics companies, offering modern amenities, advanced technology, and sustainable features.

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

1983

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