Design, develop, deploy, and support scalable automation solutions for engineering and business workflows. Build REST API integrations, Microsoft 365 automations, cloud-native services, and AI-powered document processing using RAG, vector databases, LLM APIs, and prompt engineering. Collaborate with software developers, AI leaders, engineers, and business stakeholders to translate requirements into reliable solutions. Responsibilities include testing, deployment, monitoring, documentation, user training, production support, and identifying opportunities to improve operational efficiency.

Design, build, and maintain production data pipelines and integrations across applications, databases, and cloud services. Support data architecture, ingestion, embedding workflows for AI, data quality, monitoring, and platform reliability. Collaborate with Full Stack and AI teams to deploy scalable cloud-based data infrastructure and establish data engineering standards and best practices.