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$37K

$107.1K

$163K

How much do google automation engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for google automation engineer in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What is a Google Automation Engineer job?

A Google Automation Engineer is responsible for designing, developing, and maintaining automated solutions to streamline processes, improve efficiency, and reduce manual effort. They work with programming languages, scripting, and automation tools to optimize workflows in areas like testing, infrastructure management, and deployment. This role requires strong problem-solving skills, knowledge of cloud computing, and expertise in automation frameworks. Automation Engineers collaborate with various teams to ensure scalable, reliable, and secure automated systems.

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

To thrive as a Google Automation Engineer, you need expertise in programming, scripting languages (like Python or Java), and a solid understanding of automation frameworks and software development principles, typically supported by a relevant bachelor's degree. Hands-on experience with tools such as Selenium, Jenkins, Google Cloud Platform, and CI/CD systems, as well as certifications like Google Professional Cloud DevOps Engineer, are highly valued. Strong problem-solving, teamwork, and effective communication skills help engineers collaborate successfully across cross-functional teams. These abilities ensure efficient automation solutions, streamlined workflows, and continued innovation in dynamic tech environments.

What are typical challenges faced by Google Automation Engineers in their daily work?

Google Automation Engineers often encounter challenges such as ensuring their automation scripts scale efficiently as products evolve, troubleshooting complex system integrations, and keeping pace with the latest tools and technology updates. The role also involves frequent collaboration with developers, testers, and product managers, which requires strong communication skills and adaptability to shifting project priorities. Staying proactive in learning and leveraging new automation practices is key to succeeding and advancing in this dynamic role. This makes the work both stimulating and an excellent opportunity for professional growth within Google’s innovative environment.
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Google Automation Engineer jobs near you
Infographic showing various Google Automation Engineer job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Nampa, ID • Remote

Other

Posted 12 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply