RPA and AI Automation Solutions Developer

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RPA and AI Automation Solutions Developer

6/12/26

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

We are seeking an experienced RPA and AI Automation Solutions Developer to join our Procurement Digital Transformation team. This role will focus on designing, developing, and deploying intelligent automation solutions that streamline procurement workflows, improve process efficiency, and enable scalable digital transformation across the enterprise. The ideal candidate will bring hands-on experience in RPA development, AI/GenAI-enabled automation, AWS cloud services, Amazon Bedrock, AgentCore, Selenium-based automation, enterprise system integration, and procurement platform implementation. You will work closely with procurement, business transformation, IT, and platform teams to convert manual and fragmented processes into integrated, data-driven, and AI-powered solutions. This is a high-impact role for someone who is passionate about automation, emerging technologies, and solving complex business challenges in a global enterprise environment Job Responsibilities:

RPA and Automation Development •    Design, develop, test, deploy, and support automation solutions using tools and technologies such as UiPath, Microsoft Power Automate, Python, and Selenium. •    Build scalable and reusable automation frameworks, components, scripts, bot libraries, and Selenium-based automation solutions. •    Analyze business processes to identify automation opportunities and recommend practical, value-driven solutions. •    Own the full automation delivery lifecycle, including requirements gathering, solution design, development, testing, deployment, monitoring, and ongoing optimization. •    Ensure automation solutions are robust, maintainable, secure, and aligned with enterprise architecture standards. AI, GenAI, and Intelligent Automation •    Develop intelligent automation solutions using AI, GenAI, LLMs, AI agents, NLP, OCR, and decision models. •    Build and integrate AI-powered agents and orchestration workflows using Amazon Bedrock, AgentCore, and other enterprise AI services. •    Leverage foundation models, retrieval-augmented generation, prompt engineering, and agentic workflows to support procurement and business process automation. •    Integrate AI capabilities into procurement and enterprise workflows to improve decision-making, reduce manual effort, and enhance user experience. •    Design and