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Intelligent Automation Jobs in California (NOW HIRING)

This role serves as a technical leader in automation initiatives, focusing heavily on integrating AI capabilities such as Copilot agents, intelligent document processing, decisioning, and natural ...

This role serves as a technical leader in automation initiatives, focusing heavily on integrating AI capabilities such as Copilot agents, intelligent document processing, decisioning, and natural ...

This role serves as a technical leader in automation initiatives, focusing heavily on integrating AI capabilities such as Copilot agents, intelligent document processing, decisioning, and natural ...

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Showing results 1-20

Intelligent Automation information

See California salary details

$36.5K

$105.7K

$160.9K

How much do intelligent automation jobs pay per year?

As of Jul 19, 2026, the average yearly pay for intelligent automation 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.

Which 3 jobs will survive AI?

In the field of Intelligent Automation, jobs that require complex problem-solving, emotional intelligence, and creative thinking—such as data scientists, AI specialists, and cybersecurity analysts—are expected to persist. These roles involve tasks that are difficult to fully automate and often require specialized skills, certifications, and ongoing learning to adapt to technological advancements.

Is AI automation a good career?

AI automation is a growing field with increasing demand for professionals skilled in areas like machine learning, programming, and process analysis. Careers in this area often offer competitive salaries, opportunities for advancement, and require continuous learning to keep up with technological developments.

What is the salary of AI automation?

The salary for roles in intelligent automation, including AI automation specialists, typically ranges from $70,000 to $130,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with skills in machine learning, programming, and process automation can earn higher salaries.

What is the role of intelligent automation?

The role of intelligent automation involves designing, developing, and managing systems that combine artificial intelligence and robotic process automation to streamline business processes, improve efficiency, and reduce manual effort. Professionals in this field often work with tools like machine learning algorithms, data analysis, and automation platforms to create intelligent workflows. Strong problem-solving skills and knowledge of automation tools are essential for success in this role.

What are some of the typical challenges faced in an Intelligent Automation role?

Professionals in Intelligent Automation roles frequently encounter challenges such as identifying the right processes for automation, managing changing business requirements, and ensuring seamless integration with existing IT infrastructure. Navigating organizational change and gaining buy-in from stakeholders are also common hurdles, as automation can significantly impact workflows and job roles. Successful practitioners typically work closely with business analysts, IT teams, and process owners to address these issues and implement scalable solutions. Overcoming these challenges requires a mix of technical expertise, adaptability, and strong interpersonal skills, all of which contribute to delivering impactful automation outcomes.

What are the key skills and qualifications needed to thrive in the Intelligent Automation position, and why are they important?

To thrive in Intelligent Automation, you need a solid background in process analysis, business process management, and programming or scripting skills, typically backed by a degree in engineering, computer science, or a related field. Experience with Robotic Process Automation (RPA) platforms such as UiPath or Blue Prism, as well as knowledge of machine learning and AI technologies, is highly beneficial, and certifications in these tools are often preferred. Strong problem-solving abilities, analytical thinking, and effective communication are essential soft skills for working across departments and translating business needs into technical solutions. These competencies are crucial for driving successful automation initiatives that improve efficiency, reduce errors, and add value to organizations.

What is an Intelligent Automation job?

An Intelligent Automation job involves designing, developing, and implementing automation solutions that combine artificial intelligence (AI), robotic process automation (RPA), and other advanced technologies to streamline business operations. Professionals in this field analyze workflows, identify automation opportunities, and create systems that improve efficiency, reduce errors, and enhance decision-making. They work with AI models, bots, and data analytics to optimize processes across various industries. This role often requires expertise in programming, machine learning, and process optimization.

What are the most commonly searched types of Intelligent Automation jobs in California? The most popular types of Intelligent Automation jobs in California are:
What job categories do people searching Intelligent Automation jobs in California look for? The top searched job categories for Intelligent Automation jobs in California are:
What cities in California are hiring for Intelligent Automation jobs? Cities in California with the most Intelligent Automation job openings:
Infographic showing various Intelligent Automation job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $105,723 per year, or $50.8 per hour.

Playwright Intelligent Automation Lead

Aspire Systems Digital Transformation Inc

Dublin, CA • On-site

Other

Posted 15 hours ago


Job description

Role: Playwright Intelligent Automation Lead

Location: Dublin, CA
Work Mode: Hybrid (3 days/week in office – Tuesday, Wednesday, and Thursday)
Contract Duration: 6 Months


Experience Required:
  • Lead: 8+ Years
  • Sr. Lead: 10+ Years

Role Summary

We are seeking a visionary AI Lead to drive the development of next-generation intelligent automation solutions. In this role, you will design, build, and scale AI Copilots and Agentic Workflows by integrating Large Language Models (LLMs) with browser automation using Model Context Protocol (MCP) and Playwright.

You will play a key role in bridging AI capabilities with real-world automation systems, while leading technical teams and ensuring solution scalability and reliability.


Key Responsibilities
  • Lead the architecture and design of MCP-based agentic workflows, AI copilots, and Playwright automation frameworks
  • Define and enforce engineering standards, governance practices, and security guidelines
  • Drive technical decision-making, including architecture reviews and risk assessments
  • Collaborate with business stakeholders, clients, and delivery teams to align technology with business objectives
  • Provide technical leadership, mentoring, and guidance to engineering teams
  • Research and evaluate emerging AI technologies, tools, and frameworks for adoption
  • Support project planning, estimation, resource allocation, and risk management

Required Skills & Experience
  • Proven experience with Model Context Protocol (MCP) (building or integrating MCP servers and clients)
  • Strong hands-on experience with LLM ecosystems, including:
    • LLM APIs
    • Prompt engineering
    • Function calling
    • Agent frameworks (e.g., LangChain, AutoGen, CrewAI)
  • Deep expertise in Playwright automation framework development and architecture
  • Strong understanding of AI agents, agentic workflows, and LLM integrations
  • Proficiency in TypeScript, along with JavaScript or Python
  • Experience working with cloud platforms and API integrations
  • Proven ability to lead technical teams and deliver large-scale implementations