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Ai Robotics Jobs in Arizona (NOW HIRING)

Experience mapping business processes and building automated workflows (RPA, iPaaS, or AI orchestration). * Experience with third‑party APIs, solutions integration, and AI middleware. * Familiar ...

New

AI Process Improvement Analyst - Ops

Phoenix, AZ · On-site

$71K - $88K/yr

Experience mapping business processes and building automated workflows (RPA, iPaaS, or AI orchestration). * Experience with third-party APIs, solutions integration, and AI middleware. * Familiar with ...

CTIO AI Engineering Manager

Phoenix, AZ · On-site

$73K - $244K/yr

... Robotics preferred - Designing, training, and deploying machine learning models - Developing scalable, cloud-native microservices using Docker and Kubernetes - Building end-to-end AI applications ...

Drive the adoption of cutting-edge HR technologies, including AI, robotic process automation (RPA), and cloud-based integrations, to enhance operational efficiency and deliver measurable business ...

Drive the adoption of cutting-edge HR technologies, including AI, robotic process automation (RPA), and cloud-based integrations, to enhance operational efficiency and deliver measurable business ...

Drive the adoption of cutting-edge HR technologies, including AI, robotic process automation (RPA), and cloud-based integrations, to enhance operational efficiency and deliver measurable business ...

Drive the adoption of cutting-edge HR technologies, including AI, robotic process automation (RPA), and cloud-based integrations, to enhance operational efficiency and deliver measurable business ...

Showing results 21-40

Ai Robotics information

See Arizona salary details

$78.3K

$89.5K

$108.6K

How much do ai robotics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai robotics in Arizona is $89,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $95,100.00 per year, depending on experience, location, and employer.

What is an AI Robotics?

An AI Robotics job involves designing, developing, and programming intelligent robots that can perceive, learn, and interact with their environment. Professionals in this field work with artificial intelligence, machine learning, and robotics to create automation solutions for industries like healthcare, manufacturing, and logistics. They typically have expertise in software development, robotics engineering, and AI algorithms.

What does an AI Robotics do?

Professionals in AI Robotics spend their days designing, programming, and testing intelligent robotic systems to perform tasks autonomously or semi-autonomously. This often includes collaborating with cross-functional teams such as hardware engineers, data scientists, and software developers to integrate AI algorithms with physical devices. You might also troubleshoot issues, refine machine learning models, and participate in project planning or technical reviews. Most roles offer a dynamic work environment, blending hands-on lab work, simulations, and software development, ensuring no two days are exactly alike.

What are the key skills and qualifications needed to thrive in AI Robotics, and why are they important?

To excel in AI Robotics, you need expertise in robotics engineering, machine learning, and computer programming, usually backed by a degree in robotics, computer science, or a related field. Proficiency in tools like ROS (Robot Operating System), Python, C++, and simulation platforms such as Gazebo is critical, and certifications in AI or robotics can be advantageous. Strong problem-solving skills, creativity, and effective teamwork are valuable soft skills that set top professionals apart. These competencies ensure the design, development, and deployment of innovative robotic solutions that operate efficiently and safely in real-world environments.

Is AI and robotics a good career?

AI Robotics is a growing field offering opportunities in developing intelligent systems, automation, and machine learning. It requires skills in programming, engineering, and data analysis, with job prospects expanding as technology advances. Careers in this area can be rewarding for those interested in innovation and problem-solving.

What are the careers in robotics and AI?

Careers in robotics and AI include roles such as robotics engineer, AI software developer, machine learning engineer, automation specialist, and data scientist. These positions often require skills in programming, machine learning frameworks, and knowledge of robotics hardware and sensors, with many professionals holding degrees in computer science, engineering, or related fields.

What are popular job titles related to Ai Robotics jobs in Arizona?

For Ai Robotics jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Robotics jobs in Arizona look for?

The top searched job categories for Ai Robotics jobs in Arizona are:

What cities in Arizona are hiring for Ai Robotics jobs?

Cities in Arizona with the most Ai Robotics job openings:

Infographic showing various Ai Robotics job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $89,461 per year, or $43 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Flagstaff, AZ • On-site

Other

Re-posted 28 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.