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Ai Automation Jobs in Rhode Island (NOW HIRING)

Reporting to the CFO, this leader will own the full accounting function, drive FP&A, and carry a mandate to bring AI, automation, and process improvement into a department that is ready for change.

Reporting to the CFO, this leader will own the full accounting function, drive FP&A, and carry a mandate to bring AI, automation, and process improvement into a department that is ready for change.

Reporting to the CFO, this leader will own the full accounting function, drive FP&A, and carry a mandate to bring AI, automation, and process improvement into a department that is ready for change.

Reporting to the CFO, this leader will own the full accounting function, drive FP&A, and carry a mandate to bring AI, automation, and process improvement into a department that is ready for change.

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Showing results 1-20

Ai Automation information

See Rhode Island salary details

$30.4K

$114.2K

$166K

How much do ai automation jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai automation in Rhode Island is $114,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $136,100.00 per year, depending on experience, location, and employer.

What is an AI Automation?

An AI Automation job involves designing, developing, and managing automated systems that leverage artificial intelligence to streamline processes, improve efficiency, and reduce manual effort. Professionals in this field work with machine learning models, software automation tools, and AI-driven decision-making systems. They collaborate with teams to implement AI solutions across industries such as finance, healthcare, and customer service. This role often requires expertise in programming, data science, and AI technologies to optimize workflows and enhance business operations.

What does an AI Automation do?

A typical day for an AI Automation professional involves analyzing business processes to identify automation opportunities, developing and testing AI-driven solutions, and collaborating with cross-functional teams such as IT, operations, and project management. You might also be tasked with monitoring deployed systems, troubleshooting issues, and continuously improving automation workflows based on feedback and performance data. Frequent communication with stakeholders and end-users is common, ensuring solutions align with business goals. This dynamic environment provides opportunities to learn new technologies and contribute to impactful digital transformation initiatives.

What are the key skills and qualifications needed to thrive in AI Automation?

To excel in AI Automation, you need a solid background in computer science, machine learning, and process automation, often supported by a degree in a STEM field. Proficiency with tools like Python, TensorFlow, RPA platforms (such as UiPath or Blue Prism), and familiarity with cloud services are commonly required, along with relevant certifications. Strong problem-solving abilities, analytical thinking, and collaboration skills set exceptional candidates apart. These skills are vital for designing, deploying, and maintaining AI-driven automation solutions that improve business efficiency and accuracy.

Is AI automation a good career?

AI automation is a growing field with increasing demand for professionals skilled in machine learning, programming, and data analysis. Careers in this area often offer competitive salaries, opportunities for advancement, and the chance to work on innovative technologies, making it a promising career choice for those interested in technology and automation. Continuous learning and staying updated with industry tools like Python, TensorFlow, and cloud platforms are important for success in this field.

What jobs can I get with AI automation?

Jobs related to AI automation include roles such as AI engineer, machine learning engineer, data scientist, automation developer, and AI product manager. These positions typically require skills in programming, data analysis, and understanding of AI tools and frameworks like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Ai Automation jobs in Rhode Island?

The most popular types of Ai Automation jobs in Rhode Island are:

What are popular job titles related to Ai Automation jobs in Rhode Island?

For Ai Automation jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Ai Automation jobs in Rhode Island look for?

The top searched job categories for Ai Automation jobs in Rhode Island are:

Infographic showing various Ai Automation job openings in Rhode Island as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $114,195 per year, or $54.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Warwick, RI โ€ข Remote

Full-time

Re-posted 16 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.