ZipRecruiter

Log In

1

Ai Robotics Engineer Jobs in Tennessee (NOW HIRING)

Denso

Process Engineer 3

Maryville, TN

... Robotics, or related field and 3 or more years of relevant experience. * Proven experience in developing and deploying AI-based vision systems in an industrial or manufacturing setting. * Strong ...

Denso

Process Engineer 3

Maryville, TN · On-site

... Robotics, or related field and 3 or more years of relevant experience. * Proven experience in developing and deploying AI-based vision systems in an industrial or manufacturing setting. * Strong ...

Pwc

CTIO AI Engineering Manager

Nashville, TN

$73K - $244K/yr

... in AI engineering or related field What Sets You Apart - Master's Degree in Computer Engineering ... Robotics preferred - Designing, training, and deploying machine learning models - Developing ...

previous pagenext page

Showing results 21-40

All JobsAi Robotics Engineer JobsAi Robotics Engineer Jobs in Tennessee

Ai Robotics Engineer information

See Tennessee salary details

$26.3K

$95.8K

$153.4K

How much do ai robotics engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai robotics engineer in Tennessee is $95,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,800.00 and $115,300.00 per year, depending on experience, location, and employer.

What does an AI Robotics Engineer do?

An AI Robotics Engineer designs, develops, and integrates artificial intelligence into robotic systems to enable automation, learning, and decision-making. They work on algorithms, machine learning models, and sensor-based perception to enhance robot functionality. Their role includes programming, testing, and refining robotic applications for industries like manufacturing, healthcare, and autonomous vehicles.

Can a AI Robotics Engineer work in AI?

An AI Robotics Engineer can work in AI, as their role involves developing intelligent systems that combine robotics and artificial intelligence. They often utilize machine learning, programming skills, and robotics platforms to create autonomous or semi-autonomous machines. Their expertise allows them to contribute to AI research, development, and deployment in various industries.

How much do AI robotics engineers make?

AI robotics engineers typically earn a median annual salary ranging from $80,000 to $130,000, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning, control systems, or programming languages like Python and C++ can command higher salaries. Industry demand for robotics and AI expertise continues to grow, influencing compensation levels.

What are the key skills and qualifications needed to thrive as an AI Robotics Engineer?

To thrive as an AI Robotics Engineer, you need a solid background in computer science, robotics, machine learning, and mechanical/electrical engineering, typically supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python and C++, experience with ROS (Robot Operating System), and knowledge of simulation tools like Gazebo or MATLAB are highly valued, along with certifications in AI or robotics when applicable. Strong problem-solving, teamwork, and effective communication skills set top candidates apart. These abilities are essential for integrating complex systems, troubleshooting issues efficiently, and collaborating within multidisciplinary teams.

What are the most commonly searched types of Ai Robotics Engineer jobs in Tennessee? The most popular types of Ai Robotics Engineer jobs in Tennessee are:
What are popular job titles related to Ai Robotics Engineer jobs in Tennessee? For Ai Robotics Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Ai Robotics Engineer jobs in Tennessee look for? The top searched job categories for Ai Robotics Engineer jobs in Tennessee are:
Ai Robotics Engineer jobs near you
Infographic showing various Ai Robotics Engineer job openings in Tennessee as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $95,849 per year, or $46.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Chattanooga, TN • On-site

Other

Re-posted 18 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