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Sr Rpa Developer Jobs in Colorado (NOW HIRING)

CEDENT

Automation Developer (Python)

Denver, CO

$40 - $60/hr

AUTOMATION ENGINEER/DEVELOPER (PYTHON AND CLOUD) Our client is seeking an experienced Automation ... Automation of Deployment Processes: Develop and automate infrastructure provisioning, configuration ...

OTSI

Engineering Technician 4 Lead

Longmont, CO · On-site

$43K - $56K/yr

... RPA, DevOps) QA & Automation (Manual Testing, Non-functional testing, Test Automation, Digital Testing) Enterprise Applications (SAP, Java Full stack, Microsoft, Custom Development) Disruptive ...

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Sr Rpa Developer information

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$64

$92

How much do sr rpa developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for sr rpa developer in Colorado is $64.91, according to ZipRecruiter salary data. Most workers in this role earn between $55.10 and $72.79 per hour, depending on experience, location, and employer.

Will AI replace RPA?

AI is increasingly integrated with RPA to enhance automation capabilities, but it is unlikely to fully replace RPA developers. Instead, AI tools complement RPA by enabling more intelligent and adaptive automation, requiring RPA professionals to develop new skills in AI and machine learning to manage and optimize these systems.

What is a Sr RPA Developer?

A Sr RPA (Senior Robotic Process Automation) Developer is an experienced professional who designs, develops, and implements automated solutions using RPA technologies to streamline business processes. They are responsible for analyzing business requirements, creating automation workflows, and maintaining existing automation solutions. Additionally, Sr RPA Developers often mentor junior team members and collaborate with stakeholders to ensure automation projects align with organizational goals.

What is the highest salary for RPA developer?

The highest salary for an RPA developer, including senior roles, can reach up to $130,000 to $150,000 annually in some regions, especially for those with extensive experience, advanced certifications, and expertise in tools like UiPath or Automation Anywhere. Salaries vary based on location, industry, and skill level, with senior RPA developers earning the most in the field.

Is RPA still in demand?

Robotic Process Automation (RPA) developers, including senior RPA developers, are in high demand as organizations seek to automate repetitive tasks to improve efficiency. The demand is driven by the adoption of RPA tools like UiPath, Automation Anywhere, and Blue Prism across various industries, and the need for skills in process analysis, scripting, and integration continues to grow.

What are the key skills and qualifications needed to thrive as a Sr RPA Developer, and why are they important?

To thrive as a Sr RPA Developer, you need deep knowledge of Robotic Process Automation concepts, strong coding skills (typically in C#, .NET, or Python), and hands-on experience with RPA platforms like UiPath, Automation Anywhere, or Blue Prism, often supported by relevant certifications. Expertise in using RPA tools, version control systems, and workflow design software is standard for this role. Exceptional problem-solving abilities, attention to detail, and strong communication skills help you collaborate with stakeholders and troubleshoot complex automation issues. These skills are critical for designing scalable, efficient automation solutions that drive operational improvements and deliver business value.

How much does an RPA developer make?

An RPA developer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, location, and certifications. Senior RPA developers with advanced skills in tools like UiPath or Automation Anywhere tend to earn higher salaries, especially in organizations with complex automation needs.

What are the typical collaboration dynamics between a Sr RPA Developer and other teams within an organization?

As a Sr RPA Developer, you'll frequently collaborate with business analysts to understand process requirements, and work closely with IT teams to ensure RPA solutions are integrated securely into existing infrastructure. You'll also coordinate with end-users to gather feedback and troubleshoot issues after deployment. Effective communication and teamwork are essential, as you'll often lead or mentor junior developers and participate in cross-functional meetings to align automation strategies with business goals.
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Sr Rpa Developer jobs near you
Infographic showing various Sr Rpa Developer job openings in Colorado as of June 2026, with employment types broken down into 2% As Needed, 85% Full Time, 1% Part Time, and 12% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $135,015 per year, or $64.9 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Colorado Springs, CO • Remote

Other

Posted 3 hours 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