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Ai Automation Engineer Jobs in San Ramon, CA (NOW HIRING)

Senior AI Automation Engineer Job Type: Fulltime Job Location: San Francisco, CA Work Schedule: Onsite Description: The Senior AI Automation Engineer accelerates the delivery and adoption of ...

Senior AI Automation Engineer

San Francisco, CA · On-site

$122K - $160K/yr

Senior AI Automation Engineer Job Type: Fulltime Job Location: San Francisco, CA Work Schedule: Onsite Description: The Senior AI Automation Engineer accelerates the delivery and adoption of ...

Senior AI Automation Engineer

San Francisco, CA · On-site

$122K - $160K/yr

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 ...

Test Automation Engineer

San Francisco, CA · On-site

$54.25 - $71.50/hr

Zof AI is seeking a Test Automation Engineer to bring real test-engineering craft to the agent fleets that find, reproduce, and remediate defects in customer codebases. This role owns the practice ...

AI Automation Engineering Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

About the Role We are looking for a motivated and technically curious intern to join our Silicon Test Engineering team. In this role, you will leverage AI and modern automation tools to build ...

AI Automation Engineering Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

About the Role We are looking for a motivated and technically curious intern to join our Silicon Test Engineering team. In this role, you will leverage AI and modern automation tools to build ...

Automation Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Partnered with the world's largest AI infrastructure companies and backed by the industry's best ... automation cell from zero at least once * Bachelor's Degree in Engineering from an ABET accredited ...

Partnered with the world's largest AI infrastructure companies and backed by the industry's best ... automation cell from zero at least once * Bachelor's Degree in Engineering from an ABET accredited ...

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Ai Automation Engineer information

See San Ramon, CA salary details

$41.3K

$119.7K

$182.2K

How much do ai automation engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai automation engineer in San Ramon, CA is $119,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $138,000.00 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 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 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 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.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What are popular job titles related to Ai Automation Engineer jobs in San Ramon, CA?

For Ai Automation Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What cities near San Ramon, CA are hiring for Ai Automation Engineer jobs?

Cities near San Ramon, CA with the most Ai Automation Engineer job openings:

Infographic showing various Ai Automation Engineer job openings in San Ramon, CA as of September 2026, with employment types broken down into 1% Internship, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $119,716 per year, or $57.6 per hour.

Senior AI Automation Engineer

San Francisco, CA • On-site

Maxonic
IT Services • 51 - 200 employees

$124K - $171K/yr

Full-time

Posted 9 days ago


Key responsibilities

  • Design and deliver AI-powered applications, agents, copilots, task assistants, and workflow automations.

  • Integrate AI services with various platforms, portals, and enterprise systems.

  • Lead AI solutions from discovery and prototyping through deployment, adoption, and continuous improvement.


Job description

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Senior AI Automation Engineer.

Job Description:


Job Title: Senior AI Automation Engineer

Job Type: Fulltime                                                            

Job Location: San Francisco, CA

Work Schedule: Onsite


Description:

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.

About Maxonic:

Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.

Interested in Applying?                    

Please apply with your most current resume. Feel free to contact Pramod Kumar for more details.

Company Description

Maxonic, Inc. is a certified minority-owned technology consulting and staffing firm founded in 2002. We provide technology consulting and staffing services to Fortune 500 companies across the country. We collaborate with clients to design, develop and implement business-driven technology solutions. We have deep domain expertise with multiple big data platforms and have strong partnerships with industry leaders in the space. The founders have over 40 years of experience helping clients and consultants succeed. Our commitment is to provide customers with an honest, personalized, face-to-face, long-term relationship and provide consultants with ethical, respectful, and stress-free care. We believe in the power of building successful careers for everyone.

Specialties:
Staff Augmentation
Professional Services - Artificial Intelligence, Big Data Analytics, Mobile Solutions, and Cloud Solutions
Outsourced Services, Administration and Support
Contingent Workforce Services