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Ai Automation Engineer Jobs in Bothell, WA (NOW HIRING)

What You'll Do: As the AV Systems & Automation Engineer, you will oversee AV and collaboration ... Using AI-assisted tools, you will refine documentation, support readiness, reporting, and ...

About the Role Are you a visionary engineer passionate about bringing intelligent machines to life ... You will be instrumental in developing and deploying advanced AI models that drive the next ...

Automation Testing Engineer Location: Seattle, WA (Hybrid) FTE with benefits - Direct hiring (No ... Passionate about AI-driven testing and continuous improvement * Data-driven mindset with focus on ...

What You'll Do: As the AV Systems & Automation Engineer, you will oversee AV and collaboration ... Using AI-assisted tools, you will refine documentation, support readiness, reporting, and ...

We are looking for a highly skilled Senior Automation & AI Engineer to join our Quality Engineering team, bringing deep expertise in backend and services testing with cutting-edge knowledge of LLMs ...

Showing results 21-40

Ai Automation Engineer information

See Bothell, WA salary details

$41.4K

$119.8K

$182.2K

How much do ai automation engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai automation engineer in Bothell, WA is $119,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $138,100.00 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 Bothell, WA?

For Ai Automation Engineer jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Ai Automation Engineer jobs in Bothell, WA look for?

The top searched job categories for Ai Automation Engineer jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Ai Automation Engineer jobs?

Cities near Bothell, WA with the most Ai Automation Engineer job openings:

Infographic showing various Ai Automation Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, and 4% Contract. Highlights an 62% Physical, 6% Hybrid, and 32% Remote job distribution, with an average salary of $119,755 per year, or $57.6 per hour.

Security Platform Automation Engineer

Apple Inc.

Seattle, WA • On-site

$175 - $309/hr

Other

Medical, Dental, Retirement

Posted 9 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Seattle, Washington, United States Software and Services

We are the Assurance Automation & Risk Management team within Apple Services Engineering (ASE) Security org. We are responsible for securing the platforms, infrastructure, and distributed systems behind Apple’s global services, including iCloud, App Store, Apple Music, TV+, Maps, and Commerce.Apple operates thousands of critical backend services across a rapidly expanding global footprint. We have a transformative opportunity to amplify security experts reach by building the next-generation AI-assisted Security Automation Platform. Rather than building isolated tooling, we turn expert security standards into robust, running software by combining agentic workflows, deterministic scaffolding, and rigorous evaluation gates integrated directly into Apple’s core security data systems (Security Findings, Bill of Materials, and Risk Governance).We are hiring Tech Lead to lead the software architecture and agentic engineering of this platform. Your effort will help build solutions to a variety of outstanding security challenges in software supply chain, security posture, and risk management. Join us, and you’ll play a meaningful role in ensuring the highest standard of security for one of the most-watched companies in the world.

Description

We’re looking for an exceptional automation engineer to build the pipeline that scales security review across Apple’s 1000s+ services. You will turn security expertise into running software, designing and operating AI agentic review system, skills, tool layer, evaluation harness on top of Apple's existing security tooling, and giving reviewers a reliable, high-throughput pipeline to execute against. You’ll partner closely with the security engineers who define the review standards and the analysts who validate the output, and build automation that reduces toil.

Responsibilities
  • Design system and interfaces that make Apple's existing security systems agent-consumable
  • Build and maintain the review automation pipeline that ingests a service, runs AI-assisted threat modeling and triage, and produces structured, reviewable output at scale
  • Implement the AI skills and routing criteria defined by our security standards engineers, meeting quality targets for precision, recall, and false positives
  • Integrate the pipeline with existing security engineering tooling (findings, vulnerability intelligence, SBOM, scanning, and risk-acceptance systems) rather than standing up parallel foundations
  • Build the quality feedback loop so signals from reviewer validation continuously improve the automation
  • Be accountable for quality software that meets service level objectives, with runbooks, tests, and observability so no system depends on a single person
  • Own prompt, skill, and model versioning as code, with the eval gates
  • Research, prototype, and present ideas and designs to your team, management, and internal customers
Minimum Qualifications
  • 1 year of building LLM- or agent-based systems that ran in production, with a measured quality bar
  • 8+ years building and operating production automation, data pipelines, or backend services
  • Highly proficient in at least one of Python, Go, or Java
  • Experience integrating third-party and first-party APIs, tooling, and services into reliable end-to-end workflows and AI agent workflows
  • Working knowledge of application and cloud security concepts (threat modeling, vulnerabilities, secure configuration)
  • MS or BS or equivalent experience in Computer Science, Engineering, or a related field OR equivalent practical experience in Software or Security Engineering
Preferred Qualifications
  • Experience with Agent engineering: retrieval, grounding, citation, reasoning
  • Experience with Agentic workflow design with bounded autonomy, building LLM- or agent-based automation and evaluating output quality (precision/recall, human-in-the-loop feedback loops), AI agent evaluation harness as CI
  • Familiar with AWS cloud resources (S3, EC2, Lambda, Step Functions, etc.)
  • Experience with security tooling such as SAST/SCA scanners, SBOM tooling, or vulnerability intelligence platforms
  • Background in security review, threat modeling, or supply-chain security
  • Experience delivering tooling used by non-engineer reviewers or contractors at scale
  • Awareness of AI-specific threats in systems that ingest untrusted input

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976