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The Senior Software Engineer, Agentic RPA Automation is responsible for designing, building, and managing enterprise automation solutions through a combination of RPA, AI Agents, API engineering, and enterprise integration platforms. This role is for a senior hands-on software engineer who can take business needs and turn them into production-grade automation solutions that are reliable, maintainable, and secure. This role requires experience in both RPA and AI engineering to be successful.

In this role, you will partner with business stakeholders to drive delivery across high-value automation use cases. You will also help establish patterns, mentor engineers, and raise the quality bar for the automation function.

• Design, build, test, deploy, and enhance enterprise automation solutions using RPA, AI Engineering, API Engineering, and system integration patterns

• Translate business requirements into end-to-end technical solutions that automate workflows across multiple systems and teams.

• Build automation workflows with strong error handling, exception management, retry logic, and observability.

• Deliver solutions that are scalable, supportable, and aligned with operational realities.

• Implement automation solutions that combine deterministic workflow execution with AI agent-based decisioning where appropriate.

• Select the right mix of RPA, APIs, enterprise integration platforms, and AI agent automation based on complexity, risk, and business value.

• Contribute reusable patterns for orchestration, tool use, and automation safety.

• Build and maintain integrations on AWS or enterprise integration platforms and API-led automation patterns as a core part of the automation stack.

• Design integrations that connect enterprise applications, data sources, and automation workflows in a secure and maintainable way.

• Partner with application and platform teams to define interface contracts, integration patterns, and dependencies.

• Ensure automation solutions are reusable, well-documented, and production-ready
  

Operational Excellence

• Support production automation solutions through issue resolution, root-cause analysis, and continuous improvement.

• Improve deployment quality, platform health, observability, and runtime stability.

• Establish strong engineering practices for testing, documentation, review, and controlled change management.
  

Technical Leadership

• Mentor software engineers and help establish strong technical standards for the automation team.

• Contribute to architecture reviews, design reviews, and implementation reviews for complex automation initiatives.

• Help define reusable frameworks and patterns that accelerate delivery across the portfolio.
  

• 8+ years of experience in software engineering, automation engineering, integration engineering or a related field.

• 5+ years of experience in RPA platforms such as UiPath, Automation Anywhere, Blue Prism, Mulesoft RPA

• 2+ years of experience developing GenAI engineering solutions on AWS Bedrock, Azure, Google Vertex etc.

• Strong hands-on experience designing and building API integrations in AWS or on one or more enterprise integration platforms in a complex enterprise environment.

• Experience building and maintaining production-grade automation workflows with strong attention to reliability, supportability, and quality.

• Strong understanding of enterprise APIs, systems integration, and workflow orchestration.

• Experience translating business requirements into technical designs and production solutions.

• Strong debugging, problem-solving, and cross-functional collaboration skills.

• Current, role-relevant certifications in core automation platforms are required. If a required certification is not active at the time of hire, the candidate must be able to obtain or renew it within 30 days of start date. Employees in this role are expected to keep required certifications active thereafter.
  

• Experience with intelligent automation platforms, AI-driven workflow solutions, and enterprise orchestration tools (e.g., leading RPA, iPaaS, and low-code automation platforms).

• Experience in healthcare, pharma, diagnostics, or other regulated environments.

• Experience mentoring engineers and influencing engineering standards through collaboration and continuous learning.