Role Overview

 

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.

 

Key Responsibilities

Automation Solution Design and Delivery

• 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.

 

Agentic AI Automation and Workflow Orchestration

• 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.

 

API Engineering and System Integrations

• 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.
  

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