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Process Automation Jobs in Connecticut (NOW HIRING)

Munich Re

Automation Lead

Hartford, CT · On-site

Define and enforce automation standards and processes across teams * Leverage AI capabilities to enhance automation strategies when applicable * Support and maintain test lab infrastructure ...

Munich Re

Automation Lead

Hartford, CT · On-site

Define and enforce automation standards and processes across teams * Leverage AI capabilities to enhance automation strategies when applicable * Support and maintain test lab infrastructure ...

Munich RE

Automation Lead

Hartford, CT · On-site

Define and enforce automation standards and processes across teams * Leverage AI capabilities to enhance automation strategies when applicable * Support and maintain test lab infrastructure ...

PTA Plastics

Sr. Automation Engineer

Oxford, CT · On-site

$90K - $115K/yr

Tooling and process improvements required to meet performance standards * Design and optimize workstation layouts, automation cells, and product flow for molding and finishing operations. * Oversee ...

Infosys

Automation Test Consultant

Hartford, CT · On-site

... process documentation. • Develop, refine, and document code for new software applications ... automation frameworks. • You will participate in project estimations, provide inputs and ...

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All JobsProcess Automation JobsProcess Automation Jobs in Connecticut

Process Automation information

See Connecticut salary details

$48K

$102.7K

$164.1K

How much do process automation jobs pay per year?

As of Jul 14, 2026, the average yearly pay for process automation in Connecticut is $102,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $124,100.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks handled by professionals in Process Automation roles?

Professionals in Process Automation often work on projects such as automating repetitive manual tasks, streamlining data entry processes, and integrating disparate systems to reduce errors and improve efficiency. Their daily responsibilities might include designing automation workflows, developing and testing bots or scripts, analyzing current processes to identify automation opportunities, and collaborating closely with IT and business teams to ensure successful implementation. The work environment is usually collaborative, with regular cross-functional meetings and problem-solving sessions. These roles offer significant opportunities for growth, as process automation is increasingly central to digital transformation initiatives across many industries.

What are the key skills and qualifications needed to thrive in the Process Automation position, and why are they important?

To thrive in Process Automation, you need a strong background in process analysis, workflow optimization, and programming or scripting, often supported by a degree in engineering, computer science, or a related field. Familiarity with automation platforms such as RPA tools (e.g., UiPath, Blue Prism), PLC programming, and relevant certifications like Certified Automation Professional (CAP) are frequently required. Analytical thinking, creative problem-solving, and effective collaboration skills are essential for communicating solutions and driving continuous improvement. These capabilities are crucial for successfully designing, implementing, and maintaining automation systems that enhance efficiency and reduce operational costs.

What is a Process Automation job?

A Process Automation job involves designing, implementing, and optimizing automated systems to improve business efficiency. Professionals in this role use technologies like robotic process automation (RPA), workflow automation, and AI to streamline repetitive tasks, reduce errors, and enhance productivity. They collaborate with various departments to analyze processes, identify automation opportunities, and develop solutions. This role requires knowledge of automation tools, programming skills, and an understanding of business operations.

What are the most commonly searched types of Process Automation jobs in Connecticut? The most popular types of Process Automation jobs in Connecticut are:
What are popular job titles related to Process Automation jobs in Connecticut? For Process Automation jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Process Automation jobs in Connecticut look for? The top searched job categories for Process Automation jobs in Connecticut are:
Process Automation jobs near you
Infographic showing various Process Automation job openings in Connecticut as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $102,660 per year, or $49.4 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Bridgeport, CT • On-site

Other

Posted 23 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