About the job
We are seeking a highly skilled Senior Agentic Automations Engineer to join our AI Engineering organization. This role is pivotal in evolving our existing Robotic Process Automation (RPA) capabilities into next-generation agentic automation solutions that power enterprise-wide business processes. You will work at the intersection of AI, automation, and enterprise systems, leveraging our AI platform to deliver intelligent, scalable, and secure automation solutions.
Responsibilities
Define and implement automation standards for agentic workflows across the enterprise.
Lead the technical delivery of agentic automation solutions, ensuring scalability, reliability, and compliance.
Serve as the technical lead for a global, matrixed team (no direct reports), providing guidance and mentorship.
Design and develop AI-driven agents, enterprise-grade chatbots, MCP servers, and workflow engines.
Integrate and extend existing RPA platforms (e.g., Automation Anywhere) into agentic automation frameworks.
Build and deploy solutions using Docker and Kubernetes in enterprise environments.
Collaborate with business stakeholders to identify process optimization opportunities and leverage process mining techniques.
Ensure secure integration with enterprise systems, adhering to authentication and authorization best practices.
Qualifications
Minimum
Bachelor’s degree in Engineering or related technical field.
7+ years of experience in automation engineering, software development, or related roles.
Proven expertise in agentic automation and AI agent development.
Strong programming skills in Python, Rust, and TypeScript.
Experience with full-stack development and building enterprise-grade applications.
Hands-on experience with agentic runtimes and frameworks such as n8n, LangGraph, Agno.
Proficiency in Docker, Kubernetes, and containerized deployments.
Familiarity with RPA tools (e.g., Automation Anywhere, UiPath, or similar).
Solid understanding of enterprise systems, authentication mechanisms, and security best practices.
Preferred
Experience defining enterprise automation standards and governance models.
Background in business process optimization and process mining.
Prior experience in a matrixed global organization.
Knowledge of workflow orchestration, event-driven architectures, and microservices.
Exposure to AI platform engineering and MCP (Model Context Protocol) servers.