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Remote Automation Engineering Manager Jobs in Arizona

IntraEdge

QA automation Engineer

Phoenix, AZ · Remote

This is a fully remote position. You will be responsible for writing and maintaining automated ... Participate in code reviews of automated tests and follow established engineering standards.

IntraEdge

QA automation Engineer

Phoenix, AZ · Remote

This is a fully remote position. You will be responsible for writing and maintaining automated ... Participate in code reviews of automated tests and follow established engineering standards.

IntraEdge

Senior QA Automation Engineer

Phoenix, AZ · Remote

This is a fully remote position. You will be responsible for developing scalable test automation ... Mentor QA and engineering peers on automation techniques, frameworks, and quality best practices.

IntraEdge

Senior QA Automation Engineer

Phoenix, AZ · Remote

This is a fully remote position. You will be responsible for developing scalable test automation ... Mentor QA and engineering peers on automation techniques, frameworks, and quality best practices.

Circle

Manager, Software Engineering

Phoenix, AZ · Remote

$195K - $257K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... You have experience managing remote teams * The ability to thrive on a fast pace environment with ...

CSAA Insurance Group

... automation, and support of CSAA's enterprise API platform and cloud-native integration services ... API Platform Operations & Engineering * Support and maintain enterprise API management and gateway ...

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Remote Automation Engineering Manager information

How does a remote automation engineering manager effectively lead and coordinate a distributed engineering team?

As a Remote Automation Engineering Manager, effective leadership relies on clear communication, regular virtual check-ins, and the use of collaborative tools to align team members across different time zones. You’ll be responsible for setting priorities, removing roadblocks, and ensuring automation projects stay on schedule, often requiring proactive management of asynchronous workflows. Building trust and fostering a sense of team cohesion are vital, so successful managers create opportunities for knowledge sharing, hold virtual stand-ups, and encourage open feedback. This approach helps maintain productivity and ensures everyone is aligned on objectives despite the lack of in-person interaction.

What are the key skills and qualifications needed to thrive as a remote automation engineering manager, and why are they important?

To thrive as a Remote Automation Engineering Manager, you need strong expertise in automation engineering principles, leadership experience, and a relevant degree in engineering or computer science. Familiarity with automation tools like Selenium, Jenkins, and cloud platforms, as well as certifications such as PMP or Agile Scrum Master, are typically required. Excellent communication, problem-solving, and remote team management skills help you lead distributed teams effectively. These skills and qualities are crucial for driving project success, ensuring system reliability, and maintaining productivity across remote teams.

What is a remote automation engineering manager?

Remote Automation Engineering Managers are professionals who lead teams of engineers focused on designing, developing, and maintaining automated systems, all while working remotely. They oversee project planning, team coordination, and the implementation of automation solutions that streamline business processes or production workflows. In addition to technical expertise, they require strong leadership and communication skills to manage distributed teams effectively. Their responsibilities often include setting technical direction, ensuring project deadlines are met, and facilitating collaboration using digital tools.

What is the difference between Remote Automation Engineering Manager vs Remote Automation Engineer?

AspectRemote Automation Engineering ManagerRemote Automation Engineer
Required CredentialsBachelor's in Engineering, often with management experienceBachelor's or higher in Engineering or related field
Work EnvironmentOversees teams, manages projects remotelyExecutes automation tasks, develops scripts remotely
Employer & Industry UsageUsed in tech, manufacturing, and software companiesCommon in software, industrial automation, and manufacturing

The main difference is that the Remote Automation Engineering Manager focuses on leading teams and managing automation projects, while the Remote Automation Engineer primarily executes automation tasks and develops solutions. Both roles require technical skills, but the manager role involves leadership and strategic planning.

What are popular job titles related to Remote Automation Engineering Manager jobs in Arizona? For Remote Automation Engineering Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Automation Engineering Manager jobs in Arizona look for? The top searched job categories for Remote Automation Engineering Manager jobs in Arizona are:
Remote Automation Engineering Manager jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Scottsdale, AZ • Remote

Full-time

Re-posted 17 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