AI Automation Engineer

The Automation Engineer designs, builds, and deploys intelligent automation solutions and AI-powered agents that streamline business processes, reduce manual effort, and accelerate operational efficiency across the enterprise. This role combines strong Python development skills with hands‑on experience in agentic AI building autonomous systems that can reason, plan, execute multi‑step tasks, and integrate with enterprise platforms. Key Responsibilities Design, develop, and maintain automation solutions to streamline workflows across Sales, Operations, Customer Service, and Finance. Build and deploy agentic AI solutions that can reason, plan, and execute multi‑step tasks with minimal human intervention. Develop and maintain integrations between automation platforms and enterprise systems. Create ETL processes and data pipelines to support automation workflows while ensuring data quality and consistency. Collaborate with BI and Data Architecture teams to leverage governed and reliable data sources in automated solutions. Core Competencies Experience with development and scripting technologies such as Python, C#, .NET, PowerShell, JavaScript, TypeScript, and JSON. Hands‑on experience with middleware and automation platforms including Power Automate, Azure Logic Apps, Azure Function Apps, and Workato. Familiarity with modern data platforms and databases, including Azure SQL Server, Fabric Lakehouse/Warehouse, SQL, and Semantic Models. Experience with Microsoft AI technologies such as Copilot Studio and Azure AI Foundry. Knowledge of Agentic AI, LLM integration, prompt engineering, and RAG. Experience in API development, enterprise integrations, process automation, workflow optimization, and ETL/data pipeline development. Education/Work Experience Requirements Bachelors degree in Computer Science, Software Engineering, Data Science, IT, or a related field (or equivalent experience). 3+ years of Python development experience in automation, scripting, or backend engineering. Hands‑on experience building AI agents using LLMs, prompt engineering, RAG, and frameworks such as Copilot, LangChain, Semantic Kernel, AutoGen, CrewAI, or N8N. Experience integrating automation solutions with enterprise platforms (ERP, CRM, eCommerce, PIM, and SQL-based systems). Proficiency in SQL for data querying, transformation, and pipeline development. Experience with REST APIs, webhooks, and event‑driven architectures. Strong knowledge of software development best practices, including Git, testing, and CI/CD. #J-18808-Ljbffr Vserve