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Ai Automation Engineer Jobs in California (NOW HIRING)

AI Automation Engineer

Sunnyvale, CA · On-site

$101K - $124K/yr

We're looking for a junior engineer to be the primary engineer building and maintaining our technical interview pipeline - from the question bank to AI-assisted scoring to full workflow automation ...

We're looking for a junior engineer to be the primary engineer building and maintaining our technical interview pipeline - from the question bank to AI-assisted scoring to full workflow automation ...

We're looking for a junior engineer to be the primary engineer building and maintaining our technical interview pipeline - from the question bank to AI-assisted scoring to full workflow automation ...

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 ...

New

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 ...

AI Automation Engineer

Sunnyvale, CA · On-site

$110 - $160/hr

We're looking for a junior engineer to be the primary engineer building and maintaining our technical interview pipeline - from the question bank to AI-assisted scoring to full workflow automation ...

New

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 ...

... or automation in production (APIs, webhooks, SCIM, event‑driven), hands‑on with an iPaaS ... Code, and other frontier AI systems to maximize engineering and execution efficiency.

New

We are looking for an experienced AI Engineer / Automation Specialist with advanced n8n expertise to join our team. You will be responsible for building scalable automations, implementing AI/LLM ...

Posted today

Automation Engineer

San Francisco, CA · On-site

$120 - $150/hr

Serval is an AI-native automation platform transforming how enterprises operate. We build ... That's the Automation Engineer.You'll sit inside our IT and internal ops team, but you'll operate ...

New

... 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 ...

Brands is seeking an AI & Automation Manager to scale the strategic implementation, technical ... This is a manager-level role reporting to the CIO, combining hands‑on development and engineering ...

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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 21, 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 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 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 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 $105,723 per year, or $50.8 per hour.

AI Automation Engineer

Fortinet, Inc.

Sunnyvale, CA • On-site

$101K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description


We're looking for a junior engineer to be the primary engineer building and maintaining our technical interview pipeline - from the question bank to AI-assisted scoring to full workflow automation - working alongside the team to grow this role into a broader automation function over time. This isn't a "call an API and ship it" job: you'll be designing the systems that add/calibrate interview questions and evaluate candidate answers, which means understanding how to prompt and structure AI models for consistency, how to measure and validate output quality against ground truth, and how to catch and correct the ways these systems get things wrong. This is a role we expect to grow - the shape of that growth is still being defined.
Responsibilities
We're looking for a junior engineer to be the primary engineer building and maintaining our technical interview pipeline - from the question bank to AI-assisted scoring to full workflow automation - working alongside the team to grow this role into a broader automation function over time. This isn't a "call an API and ship it" job: you'll be designing the systems that add/calibrate interview questions and evaluate candidate answers, which means understanding how to prompt and structure AI models for consistency, how to measure and validate output quality against ground truth, and how to catch and correct the ways these systems get things wrong. This is a role we expect to grow - the shape of that growth is still being defined.
KEY RESPONSIBILITIES
Assessment Repository Management
- Add, revise, and retire technical interview questions across roles/levels/skill areas
- Maintain question metadata (difficulty, topic tags, expected answer criteria, role relevance)
- Create variant/randomized versions of questions to reduce answer-sharing risk
- Build validation checks (automated and manual) to catch incorrect, ambiguous, or miscalibrated questions before they enter the repository
- Build automation to update problem sets and recalculate average difficulty ratings as new results come in
- Review and update questions periodically to prevent leakage/staleness and keep content aligned with actual job requirements
Scoring & Answer Evaluation
- Architect scoring workflows that evaluate and compare candidate answers against reference answers/rubrics, grounded in a clear methodology for what "correct" and "well-scored" mean
- Calibrate and benchmark scoring prompts/models against human-graded samples, measuring accuracy and identifying systematic errors or bias
- Understand and account for model failure modes (inconsistency, hallucination, prompt sensitivity) and design safeguards around them
- Flag edge cases or low-confidence scores for human review rather than fully automating high-stakes decisions
Process Automation
- Automate the end-to-end workflow: question selection -> test delivery -> answer collection -> scoring -> reporting
- Help transition our source code and repositories to an internal Git platform
- Track test results to help establish scoring benchmarks over time
Quality & Fairness
- Track scoring consistency and accuracy over time; report on pipeline health
- Watch for and mitigate AI evaluation bias across candidate demographics or answer styles
- Document the process, prompts, and scoring logic for auditability
Growth & Scope
- Apply the same automation and AI-integration skills developed here to other internal workflows as the role expands
- Partner with engineering teams to identify manual, repetitive processes that are good candidates for automation
- Take on additional internal tooling and infrastructure projects as capacity and scope grow
REQUIRED QUALIFICATIONS
- Bachelor's degree in Computer Science or related field, or equivalent practical experience
- Solid programming fundamentals (Python, JavaScript/TypeScript, or similar)
- Comfort working with APIs, including LLM/AI APIs (OpenAI, Anthropic, etc.)
- Demonstrated experience designing and evaluating prompts/pipelines for LLM-based tools (not just using AI products, but building with them)
- Proficient with Git and a hosted platform (GitHub or GitLab) - branching, PRs/MRs, code review, CI basics
- Basic understanding of databases (SQL or similar)
- Strong attention to detail and technical writing ability
- Ability to work independently on processes that are still being defined, and adapt as scope evolves
PREFERRED QUALIFICATIONS
- Familiarity with test/assessment platforms or ATS integrations
- Exposure to scripting automation (e.g., workflow tools, cron jobs, CI-style pipelines)
- Interest or coursework in fairness/bias in ML systems
- Prior experience conducting or coordinating technical interviews (not required, but a plus)
Must be authorized to work in the U.S. without sponsorship.
The US base salary range for this full-time position is $101,600-$124,200. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time, as well as a comprehensive leave program.
Wage ranges are based on various factors, including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.
All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at the time of hire and annually at the Company's discretion.
Why Join Us:
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being.
Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 890,000+ customers around the globe.
About Us
Fortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government organizations around the world. Fortinet empowers its customers with intelligent, seamless protection across the expanding attack surface and the power to take on ever-increasing performance requirements of the borderless network - today and into the future. Only the Fortinet Security Fabric architecture can deliver security without compromise to address the most critical security challenges, whether in networked, application, cloud or mobile environments. Fortinet ranks number one in the most security appliances shipped worldwide and more than 500,000 customers trust Fortinet to protect their businesses.
We are committed to providing reasonable accommodations for all qualified individuals with disabilities. If you require assistance or accommodation due to a disability, please contact us at accommodations@fortinet.com.
Fortinet is an equal opportunity employer. We value diversity in our company, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, military/veteran status or any other applicable legally protected characteristics in the location in which the candidate is applying.