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Robotic Process Automation Manager Jobs in Kansas

StackAdapt

Our ultimate goal is to design and deploy autonomous agentic systems that can independently manage ... Experience with RPA platforms (e.g., UiPath, Automation Anywhere, Blue Prism) is a plus, but the ...

Advantage Tech

Commercial Property Manager

Leawood, KS · On-site

$75K/yr

CommercialProperty Manager Work Location: Onsite, Kansas City, MO Duration: Direct hire Start Date ... CPM and/or RPA designation is a plus * Bachelor's degree or equivalent is preferred * Excellent ...

OTSI

Staff Engineering Technician

Overland Park, KS · On-site

Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) Digital Transformation (Cloud Computing, Mobility, Micro Services, RPA, DevOps ...

OTSI

Staff Engineering Technician

Overland Park, KS · On-site

... Management, Data Modernization, Data Insights) • Digital Transformation (Cloud Computing, Mobility, Micro Services, RPA, DevOps) • QA & Automation (Manual Testing, Non-functional testing, Test ...

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Robotic Process Automation Manager information

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$27.6K

$104K

$151.2K

How much do robotic process automation manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for robotic process automation manager in Kansas is $103,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $124,000.00 per year, depending on experience, location, and employer.

What is the difference between Robotic Process Automation Manager vs Robotic Process Automation Developer?

AspectRobotic Process Automation ManagerRobotic Process Automation Developer
CredentialsTypically requires a bachelor’s degree in IT, computer science, or related field; certifications like UiPath or Automation Anywhere are commonSimilar credentials; often holds certifications in RPA tools and programming languages
Work EnvironmentLeads teams, manages projects, and oversees RPA implementation in organizationsFocuses on designing, developing, and testing RPA solutions
Employer & Industry UsageUsed across industries for process automation, often in managerial or strategic rolesPrimarily in IT or automation teams, executing technical tasks

The Robotic Process Automation Manager oversees RPA projects and teams, focusing on strategy and implementation, while the Robotic Process Automation Developer concentrates on creating and coding automation solutions. Both roles require similar technical credentials but differ in scope and responsibilities.

What does a Robotic Process Automation Manager do?

A Robotic Process Automation (RPA) Manager oversees the deployment, management, and optimization of software robots that automate repetitive business processes. They collaborate with various departments to identify automation opportunities, lead RPA projects, and ensure that automated solutions align with organizational goals. Additionally, RPA Managers are responsible for managing teams of RPA developers, maintaining compliance standards, and measuring the effectiveness of automation initiatives to drive operational efficiency.

What are some common challenges faced by a Robotic Process Automation Manager when scaling RPA initiatives across an organization?

A Robotic Process Automation Manager often encounters challenges such as managing change resistance among employees, ensuring robust governance for bot deployment, and integrating RPA solutions with legacy systems. Balancing speed of implementation with thorough process documentation and compliance requirements is also vital. Collaboration with IT, business analysts, and process owners is crucial to address these challenges and ensure successful scaling of automation across the enterprise.

What are the key skills and qualifications needed to thrive as a Robotic Process Automation (RPA) Manager, and why are they important?

To thrive as a Robotic Process Automation Manager, you need expertise in process analysis, automation strategy, and experience with RPA platforms, typically supported by a degree in computer science, engineering, or related fields. Familiarity with tools like UiPath, Blue Prism, Automation Anywhere, and certifications in RPA technologies are highly valued. Strong leadership, problem-solving, and communication skills help drive cross-functional teams and manage change effectively. These skills ensure successful automation initiatives, improved operational efficiency, and alignment with business objectives.
What are the most commonly searched types of Robotic Process Automation jobs in Kansas? The most popular types of Robotic Process Automation jobs in Kansas are:
What cities in Kansas are hiring for Robotic Process Automation Manager jobs? Cities in Kansas with the most Robotic Process Automation Manager job openings:
Robotic Process Automation Manager jobs near you

Automation Engineer, Agentic Orchestration

StackAdapt

On-site, Remote

Other

Re-posted 10 days ago

Job description

What We're Looking For:

An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI capabilities, including orchestrated agent systems, with existing business processes and enterprise applications. This role will leverage modern AI tools and frameworks to build sophisticated automation solutions and create and configure AI agents to handle complex, non-repetitive tasks that require reasoning, context-awareness, and interaction with multiple systems. Our ultimate goal is to design and deploy autonomous agentic systems that can independently manage and execute complex business processes with a high degree of accuracy and efficiency.

What you'll be doing:
  • Collaborate with business stakeholders to conduct in-depth analysis of existing workflows, identifying and documenting opportunities for intelligent, AI-driven automation.
  • Oversee the entire lifecycle of AI agent development, from initial design and prototyping to testing, deployment, configuration, and lifecycle of AI solutions in production. 
  • Ensure AI agent development security, scalability, and reliability through ongoing monitoring and performance tuning.
  • Design and implement integration solutions to connect AI agents and models with enterprise systems such as CRMs, ERPs, and internal databases.
  • Design and implement an evaluation system that serves as a mechanism for quality control and continuous improvement.
  • Build and configure AI agents to perform tasks such as natural language understanding, data extraction, decision-making, and system interactions.
  • Develop custom connectors, APIs, and middleware to facilitate data exchange and process automation between AI services and other applications.
  • Continuously explore and evaluate new AI technologies and tools to drive innovation in automation.
  • Mentor system admins and junior developers to build and configure AI Agents.
What you'll bring to the table:
  • Demonstrable experience with AI services from major cloud providers (e.g., OpenAI, Google Vertex AI, AWS Bedrock) and hands-on experience with LLM APIs.
  • A solid understanding of business process analysis and re-engineering.
  • Solid understanding of Natural Language Processing (NLP), LLMs, and ML principles.
  • Experience with enterprise integration platforms (e.g., Workato, MuleSoft, Boomi).Experience with RPA platforms (e.g., UiPath, Automation Anywhere, Blue Prism) is a plus, but the focus is on modern AI-driven automation.
  • Hands-on experience with conversational AI platforms and frameworks for building chatbots and virtual assistants.
  • Proficiency in Python and its associated AI/ML libraries (e.g., LangChain, LlamaIndex, Pandas, TensorFlow, or PyTorch).
  • A solid understanding of embedding processes, vector databases, RAG systems and knowledge graphs.
  • Strong understanding of API design principles (REST, RPC, SSE, GraphQL) and data formats (JSON, XML).
  • Familiarity with database technologies (SQL and NoSQL).A creative and  analytical mindset with  passion for solving complex problems through automation.
  • Entrepreneurial approach, strong builder with excellent problem-solving skills and the ability to work effectively in a cross-functional team.
  • Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.
 

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