ZipRecruiter

Log In

1

Lead Rpa Developer Jobs in California (NOW HIRING)

RPA

General Creative Submission

Santa Monica, CA

At RPA, we're always looking for curious thinkers, fearless makers, and people who believe creativity can move business - and culture - forward. If you don't see an open role that fits your ...

matchpoint solutions

Business System Analyst - Lead

Oakland, CA · On-site

$125K - $163K/yr

Business Systems Analyst Lead Location: REMOTE Duration: 4-5 Months : Required Skills (top 3 to 5/ ... Robotic Process Automation 3.Pega Day to Day Responsibilities of this Position and Description of ...

RPA

General Creative Submission

Santa Monica, CA · On-site +1

At RPA, we're always looking for curious thinkers, fearless makers, and people who believe creativity can move business - and culture - forward. If you don't see an open role that fits your ...

previous page

Showing results 41-60

All JobsLead Rpa Developer JobsLead Rpa Developer Jobs in California

Lead Rpa Developer information

See California salary details

$10

$63

$87

How much do lead rpa developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for lead rpa developer in California is $63.49, according to ZipRecruiter salary data. Most workers in this role earn between $56.01 and $73.32 per hour, depending on experience, location, and employer.

What is a Lead RPA developer?

Lead RPA Developers are professionals responsible for designing, developing, and overseeing the implementation of robotic process automation (RPA) solutions within an organization. They lead teams of RPA developers, set technical standards, and ensure that automation projects align with business goals. Their role often includes analyzing workflows, selecting suitable RPA tools, and mentoring junior developers to successfully automate repetitive business processes.

How does a Lead RPA developer typically collaborate with business analysts and stakeholders during the automation lifecycle?

A Lead RPA Developer works closely with business analysts and stakeholders to identify automation opportunities, clarify process requirements, and ensure solutions align with business goals. Throughout the automation lifecycle, they participate in requirement-gathering sessions, provide technical input during solution design, and regularly update stakeholders on progress. Effective communication and collaboration are key, as the Lead RPA Developer must translate business needs into technical specifications, address concerns, and ensure that deployments deliver the expected value.

What are the key skills and qualifications needed to thrive as a Lead RPA developer, and why are they important?

To thrive as a Lead RPA Developer, you need expertise in process automation, strong programming skills (such as Python, .NET, or Java), and a solid understanding of business workflows, usually backed by a degree in computer science or a related field. Familiarity with leading RPA platforms like UiPath, Automation Anywhere, or Blue Prism, along with relevant certifications, is highly valued. Leadership, problem-solving abilities, and effective communication set outstanding candidates apart in this role. These skills are crucial for designing scalable automation solutions, guiding teams, and aligning technical efforts with business objectives.

What is the difference between Lead Rpa Developer vs Rpa Developer?

AspectLead Rpa DeveloperRpa Developer
CertificationsUiPath, Automation Anywhere, Blue Prism certifications often preferredSame certifications as Lead Rpa Developer, but less emphasis on leadership
Work EnvironmentLeads automation projects, manages teams, collaborates with stakeholdersDevelops and implements RPA solutions under supervision
ResponsibilitiesDesigns, develops, and oversees RPA solutions; mentors team membersBuilds and tests RPA bots; follows project specifications

The main difference between a Lead Rpa Developer and an Rpa Developer lies in their responsibilities and leadership roles. The Lead Rpa Developer manages projects and teams, while the Rpa Developer focuses on building automation solutions. Both roles require similar technical skills and certifications, but the Lead position involves more oversight and strategic planning.

What job categories do people searching Lead Rpa Developer jobs in California look for?

The top searched job categories for Lead Rpa Developer jobs in California are:

Lead Rpa Developer jobs near you
Infographic showing various Lead Rpa Developer job openings in California as of September 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $132,060 per year, or $63.5 per hour.

Senior Director, Enterprise AI & Automation

Santa Clara, CA • On-site

Applied Materials
Manufacturing • 10K+ employees
Learn more about Applied Materialsexternal

$224K - $308K/yr

Full-time

Re-posted 13 hours ago

Applied Materials rating

8.7

Company rating: 8.7 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

16th of 547 rated manufacturers

Job description

Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer
Salary:
$224,000.00 - $308,000.00
Location:
Santa Clara,CA
You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.
Position Overview
Applied Materials is seeking a visionary engineering leader to drive the enterprise-wide strategy and execution of AI, Generative AI, Agentic Automation, MLOps, and Robotic Process Automation (RPA) capabilities. Reporting to the VP of Engineering, this leader will own the full AI/GenAI lifecycle-from ideation and PoC through production deployment and enablement-while leading cross-functional teams, influencing senior stakeholders, and building a culture of innovation and responsible AI use.
Key Responsibilities
Strategic AI & GenAI Leadership
  • Own the Enterprise AI/GenAI strategy and PoC-to-production delivery across domains (Contract Analytics, Quality, Finance, Supply Chain), aligning investments with business priorities.
  • Architect and govern the Enterprise Agentic AI Strategy, deploying multi-agent frameworks and LLM-powered tools at scale.
  • Drive fine-tuning, prompt engineering, and domain adaptation of LLMs for Applied Materials' use cases; contribute to AI governance and commercialization at the executive level, and represent the organization at industry conferences (e.g., ET India, EPTC Singapore).

Enterprise LLM Platform & Multi-Cloud AI Infrastructure
  • Enable secure enterprise access to 100+ LLMs across Azure AI Foundry, AWS Bedrock, and GCP Vertex AI, integrating open-source models via artifact platforms (e.g., JFrog).
  • Partner with Security, Legal, and Infrastructure to streamline PoC cycles, standardize sizing, and ensure compliant AI deployment.
  • Enable autonomous AI environments and MCP (Model Context Protocol) servers for internal tools and agentic workflows.

MLOps & Model Lifecycle Management
  • Lead end-to-end MLOps programs - training pipelines, CI/CD for ML, feature stores, and production monitoring - and drive modernization of ML infrastructure (e.g., CDSW → Databricks).
  • Establish model governance (bias detection, explainability, drift monitoring, retraining) and champion Databricks best practices across data science and engineering teams.

Agentic AI & Automation
  • Architect and deploy enterprise-grade multi-agent AI systems for complex, multi-step workflows, integrating with ERP, CRM, and ITSM to automate high-value decisions end-to-end.
  • Design internal AI tools and agents (e.g., AI Finance Bot, domain-specific LLM applications) and lead the roadmap for next-generation agentic platforms as emerging capabilities mature.

Robotic Process Automation (RPA)
  • Lead the RPA Center of Excellence and enterprise-scale automation programs, delivering measurable cost avoidance ($100M+ annually) and operational efficiency gains.
  • Champion modern RPA platforms (UiPath AutoPilot) and AI-augmented tooling; expand automated ticket resolution to 60%+ of support requests.
  • Establish RPA governance, change control, and operational KPIs to sustain reliability and scalability of the automation estate.

Required Qualifications
Experience
  • 15+ years in software engineering, data science, or AI/ML, with 7+ years leading large engineering or AI teams.
  • Track record delivering enterprise-scale AI/GenAI programs with measurable business impact, and building/scaling production MLOps platforms.
  • Experience deploying RPA programs at scale (UiPath, Blue Prism, Automation Anywhere, or equivalent) and hands-on with agentic AI frameworks (LangChain, AutoGen, CrewAI, or comparable).
  • Experience leading governance, legal, and security review processes for AI/GenAI deployments in regulated or enterprise contexts.

Technical Skills
  • Deep LLM expertise: fine-tuning, prompt engineering, RAG architectures, and domain adaptation.
  • Multi-cloud AI platforms (Azure AI Foundry, AWS Bedrock, GCP Vertex AI) and MLOps tooling (Databricks/MLflow, Kubeflow, SageMaker, or equivalent), with model monitoring and drift detection.
  • RPA development and platform management: UiPath (including AutoPilot), with automation governance and COE operations.
  • Python fluency with modern AI/ML libraries (PyTorch, Hugging Face Transformers, LangChain).
  • MCP (Model Context Protocol), tool-calling, and agent orchestration patterns; enterprise integration, API-based automation, and workflow orchestration.

Preferred Qualifications
  • Experience in semiconductor, advanced manufacturing, or capital equipment industries, with familiarity applying AI/ML to quality, supply chain, or engineering operations.
  • Contributions to AI governance frameworks, responsible AI policies, or AI ethics programs at the enterprise level, plus recognized industry contributions (awards, publications, conference talks, open-source).
  • Degree in Computer Science, Machine Learning, or a related technical field.

Additional Information
Time Type:
Full time
Employee Type:
Assignee / Regular
Travel:
Yes, 20% of the Time
Relocation Eligible:
No
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

What Applied Materials employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Applied Materials logo

About Applied Materials

Sourced by ZipRecruiter

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We're the brain (and the brawn) behind every new technology development--whether it's building semiconductor chips for smartphones and computers, or the underpinnings for robotics, AI and even smart TV display screens. With 27,000 employees in 19 countries, we offer an exciting place to grow and learn alongside some of the best people you'll ever meet. We take deep pride in our Culture of Inclusion, and we celebrate the diverse backgrounds, perspectives and experiences that help us build stronger, more resilient teams. Join us as we innovate to Make Possible a Better Future!

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1967

View All Applied Materials Jobs

Apply