Full Description

The Automation Engineer plays a critical role in driving digital transformation by designing, developing, and deploying intelligent automation solutions that streamline business processes, enhance operational efficiency, and reduce manual effort. Specializing in Robotic Process Automation (RPA) and Artificial Intelligence (AI), this role bridges the gap between business needs and technology capabilities, leveraging tools like Tungsten Automation RPA, UiPath, Automation Anywhere, Power Automate, and AI platforms to deliver scalable, resilient, and innovative automation solutions.

The engineer collaborates closely with cross-functional teams—including business analysts, IT, and operations—to identify automation opportunities, assess feasibility, and implement end-to-end solutions. By integrating AI capabilities such as natural language processing (NLP), machine learning (ML), and computer vision, the Automation Engineer enables smarter decision-making and adaptive workflows that evolve with business needs.

This role is pivotal in fostering a culture of continuous improvement and innovation, ensuring that automation initiatives align with strategic goals and deliver measurable value across the organization.

Key Responsibilities

Build, test, and deploy RPA bots using platforms like Tungsten Automation RPA, UiPath, Automation Anywhere, or Power Automate. Ensure solutions use proper access controls and highlights any risks with specific data Adhere to automation governance frameworks and ensure compliance with data privacy and security standards. Ensure solutions are scalable, maintainable, and aligned with enterprise architecture standards. Collaborate with business units to assess processes for automation suitability. Collaborate with cross-functional stakeholders to gather requirements and deliver effective technology solutions. Incorporate AI technologies such as machine learning and NLP to enhance automation outcomes. Work with data and AI engineers to embed intelligent decision-making into workflows. Monitor bot performance and ensure uptime and reliability. Troubleshoot and resolve issues in production environments. Maintain documentation for audit and knowledge-sharing purposes. Analyze bot performance and user feedback to optimize existing automations. Stay current with emerging technologies and recommend enhancements. Work closely with IT, business analysts, and stakeholders to gather requirements and deliver solutions. Provide training and support to end-users and automation champions. Manage the full lifecycle of automation projects—from ideation to deployment and maintenance. Establish and enforce governance standards for application development, configuration, and change management. Conduct feasibility studies and ROI analysis for potential automation initiatives. Stay current with industry trends and emerging technologies to inform strategic decisions.

Required Skills

Strong understanding of business processes across finance, operations, and other core functions. Strong programming skills in languages such as Python, .NET, Java, or JavaScript. Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and AI services (e.g., Azure Cognitive Services, AWS SageMaker). Understanding of APIs, web services, and system integrations. Ability to analyze business processes and identify automation opportunities. Experience with process mapping tools and methodologies (e.g., BPMN, Lean Six Sigma). Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation. Self-motivated and proactive in identifying and solving challenges. Ability to manage multiple automation projects simultaneously. Ability to work independently and collaboratively in cross-functional teams. Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business value. Experience working in Agile or Scrum environments. Familiarity with IT governance frameworks, change management, and compliance standards (e.g., SOX). Knowledge of AI-Based tools that could assist in creating solutions more quickly and easily. E.g. Copilot, ChatGPT, Warp, Claude.