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Robotic Process Automation Developer Intern Jobs in Utah

Zions Bank

Process Engineer

Midvale, UT · On-site

The Process Engineer plays a key role in driving process transformation initiatives, leveraging ... technologies (RPA) and data transformation techniques to reduce manual effort and improve ...

Zions Bancorporation

Process Engineer

Midvale, UT · On-site

The Process Engineer plays a key role in driving process transformation initiatives, leveraging ... technologies (RPA) and data transformation techniques to reduce manual effort and improve ...

Enterprise Services

Process Engineer

Midvale, UT · Hybrid

The Process Engineer plays a key role in driving process transformation initiatives, leveraging ... technologies (RPA) and data transformation techniques to reduce manual effort and improve ...

American Contract Group

Be Seen First

Automation Engineer

Tremonton, UT · On-site

$65K - $88K/yr

Daily tasks will involve robotic applications. • Able to apply root cause analysis to resolve ... processing equipment • Create Automation Standards applicable to current technological ...

Amazon

Senior Automation Engineer

West Jordan, UT · On-site

$97K - $127K/yr

We drive continuous improvement, and maintain all the robotics and material handling equipment (MHE ... of process or production environment related PLC-controlled automation and issue diagnosis ...

DMBA

Appian Low-Code Lead Architect

Salt Lake City, UT · On-site +1

$53.50 - $73.25/hr

Appian Certified Lead Developer or equivalent certification in low-code platforms. * Experience developing or customizing Appian plug-ins, Smart Services, or Connected Systems. * Background in RPA or ...

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Robotic Process Automation Developer Intern information

What is the difference between Robotic Process Automation Developer Intern vs RPA Business Analyst?

AspectRobotic Process Automation Developer InternRPA Business Analyst
Required CredentialsBasic programming knowledge, relevant courseworkBusiness analysis skills, understanding of RPA processes
Work EnvironmentAssist development teams, coding, testing RPA botsGathering requirements, process mapping, stakeholder communication
Employer & Industry UsageTech companies, finance, healthcare, manufacturingBusiness units, consulting firms, enterprise organizations

The Robotic Process Automation Developer Intern focuses on coding and developing RPA solutions, while the RPA Business Analyst concentrates on analyzing business processes and defining requirements. Both roles are essential in RPA projects but differ in technical versus business focus.

What are some typical projects a Robotic Process Automation Developer Intern might work on during their internship?

As a Robotic Process Automation (RPA) Developer Intern, you can expect to work on projects that involve designing, developing, and testing automated workflows using RPA tools such as UiPath or Automation Anywhere. Common tasks include analyzing business processes to identify automation opportunities, building and debugging bots to handle repetitive tasks, and collaborating with business analysts and senior developers to optimize efficiency. You may also assist in documenting solutions and supporting the deployment of automation in real business environments. These experiences provide valuable insights into RPA best practices and prepare you for more advanced roles in automation.

What are the key skills and qualifications needed to thrive as a Robotic Process Automation Developer Intern, and why are they important?

To thrive as a Robotic Process Automation (RPA) Developer Intern, you need a solid understanding of programming concepts, process analysis, and familiarity with automation principles, often supported by coursework in computer science or related fields. Experience with RPA tools such as UiPath, Blue Prism, or Automation Anywhere, along with knowledge of scripting languages like Python or VB.NET, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These skills ensure you can design, implement, and maintain efficient automation solutions that optimize business processes and support operational goals.

What does a Robotic Process Automation (RPA) Developer Intern do?

A Robotic Process Automation (RPA) Developer Intern assists in designing, developing, and implementing software robots (bots) that automate repetitive tasks within business processes. They typically work with RPA tools like UiPath, Blue Prism, or Automation Anywhere to create, test, and maintain automation workflows under the guidance of senior developers. Their responsibilities may also include documenting processes, troubleshooting issues, and collaborating with other teams to understand automation requirements. This role provides hands-on experience in both programming and process improvement, making it valuable for students interested in technology and business efficiency.
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Robotic Process Automation Developer Intern jobs near you
AI & Process Automation Engineer

AI & Process Automation Engineer

CCBank

Pleasant Grove, UT • On-site

Full-time

Posted 13 days ago

Job description

Summary
Capital Community Bank is seeking a highly motivated AI & Process Automation Engineer to serve as the Bank's first dedicated AI resource. This role is responsible for identifying, designing, building, and deploying AI-driven solutions and lightweight software tools that improve operational efficiency across the organization.
The position will embed directly with business teams, starting in Compliance, then rotating through Operations, Lending, Risk, Finance, and other areas, to discover automation opportunities and deliver measurable results. This role bridges business units, IT, and compliance to ensure AI is implemented responsibly, securely, and effectively.
Key Responsibilities
AI Opportunity Identification & Development
  • Partner with business units across the Bank to identify high-impact problems that can be solved using AI, automation, and intelligent tools.
  • Translate business needs into structured Project Charters that define estimated value, delivery timelines, and measurable success criteria.
  • Design, build, and deploy AI-powered solutions, including process automations, data extraction tools, and workflow optimizations, using both custom code, AI coding tools and existing platforms.
  • Develop lightweight, user-friendly software interfaces that enable non-technical staff to adopt and effectively use deployed solutions.
  • Continuously evaluate and improve deployed solutions based on performance data and user feedback.

AI Governance & Risk Management
  • Maintain an inventory of AI tools, use cases, and data access points across the organization.
  • Ensure all AI implementations comply with internal policies, banking regulations, data privacy requirements, and the Bank's risk management framework.
  • Collaborate with IT, Security, and Compliance to assess risks and approve new AI use cases prior to deployment.
  • Document data flows, system interactions, and AI decision-making processes for audit and regulatory readiness.

Documentation & Process Standardization
  • Create and maintain comprehensive documentation for AI workflows, configurations, and business processes.
  • Develop SOPs, training materials, and user guides for all deployed AI tools.
  • Establish repeatable, scalable processes and frameworks for future AI implementations.

Training & Adoption
  • Provide hands-on training and support to end users on AI tools and best practices.
  • Serve as the Bank's internal subject matter expert on AI, automation, and emerging technology.
  • Drive adoption through education, workshops, and ongoing support; help build an innovation-forward culture.

Performance Tracking & Reporting
  • Define and track KPIs to measure the impact of AI initiatives, including time savings, cost reduction, efficiency gains, and adoption rates.
  • Report on AI usage, adoption, and ROI to senior leadership on a regular cadence.
  • Continuously identify opportunities for improvement, expansion, and new project pipeline development.

Qualifications
Required:
  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field, preferred.
  • Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, or similar).
  • Ability to design and build functional, user-facing software applications (web or desktop) with clean, intuitive interfaces.
  • Experience with generative AI tools and APIs (e.g., OpenAI, Anthropic, open-source LLMs).
  • Strong documentation and process design skills.
  • Understanding of data sensitivity, security, and compliance principles.
  • Excellent communication skills with the ability to translate complex technical concepts into clear, business-friendly language.
  • Self-directed work style with the ability to manage multiple projects and stakeholders simultaneously.
  • Must pass a background check, credit check, and drug screen.

Preferred:
  • Experience in banking, financial services, fintech, or other regulated industries.
  • Familiarity with front-end development frameworks (React, Vue, or similar) for building lightweight internal tools.
  • Working knowledge of SQL, databases, and data pipeline design.
  • Understanding of compliance and regulatory technology concepts (BSA/AML, KYC, TILA, UDAAP, FFIEC guidelines).
  • Familiarity with data governance, risk management, or compliance frameworks.
  • Experience deploying solutions in cloud environments (AWS, Azure, or GCP).
  • Experience with workflow automation tools or scripting (Power Automate, Zapier, etc.).

Key Success Metrics
  • Number and quality of AI solutions successfully deployed and adopted.
  • Time and cost savings generated by deployed tools, as documented in Project Charters.
  • AI adoption rates across departments.
  • Compliance adherence, zero data incidents related to AI usage.
  • Documentation completeness and audit readiness.
  • Stakeholder satisfaction with delivered solutions.

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