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Director Robotics Automation Engineer Jobs in Missouri

Senior Developer RPA

Kansas City, MO

$53.25 - $70.25/hr

This is a hands-on development role for a seasoned automation engineer who can deliver high-quality ... Reporting to the Director, Process Automation & Application Delivery, this role owns end-to-end ...

If you're an Engineering graduate who wants real-world experience with robotics, automation, welding technology, manufacturing systems, and world-class production operations, this opportunity could ...

Senior Developer RPA

Kansas City, MO · On-site

$53.25 - $70.25/hr

This is a hands-on development role for a seasoned automation engineer who can deliver high-quality ... Reporting to the Director, Process Automation & Application Delivery, this role owns end-to-end ...

Controls Engineer / Automation Project Engineer Build Something New. Not Just Maintain It. Great ... Support robotics integration and automation initiatives * Lead equipment startup, commissioning ...

Showing results 41-60

Director Robotics Automation Engineer information

How much does a Director Robotics Automation Engineer make?

A Director Robotics Automation Engineer typically earns between $130,000 and $180,000 annually, depending on experience, industry, and location. They often oversee automation projects, manage teams, and require expertise in robotics, programming, and systems integration.

What is the difference between Director Robotics Automation Engineer vs Robotics Engineer?

AspectDirector Robotics Automation EngineerRobotics Engineer
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's or Master's in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentLeadership, strategic planning, cross-department collaborationDesign, develop, test robotic systems, hands-on technical work
Employer & Industry UsageManufacturing, automation firms, large tech companiesResearch labs, manufacturing, automation companies

The main difference is that the Director Robotics Automation Engineer focuses on strategic leadership, project oversight, and team management, while the Robotics Engineer is primarily involved in technical design, development, and implementation of robotic systems. The director role requires more experience in management and planning, whereas the engineer role emphasizes technical expertise and hands-on work.

What are the most commonly searched types of Robotics Automation Engineer jobs in Missouri? The most popular types of Robotics Automation Engineer jobs in Missouri are:
What are popular job titles related to Director Robotics Automation Engineer jobs in Missouri? For Director Robotics Automation Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Director Robotics Automation Engineer jobs in Missouri look for? The top searched job categories for Director Robotics Automation Engineer jobs in Missouri are:
What cities in Missouri are hiring for Director Robotics Automation Engineer jobs? Cities in Missouri with the most Director Robotics Automation Engineer job openings:
Infographic showing various Director Robotics Automation Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MO • On-site

Other

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.