Support Engineer 2 – Data Scientist, Python, ML Scope Position is focused on building and supporting AI-powered automation workflows for infrastructure and enterprise operations use cases. Develop solutions such as chatbots, AI assistants, workflow automations, and task orchestration systems. Work closely with DevOps, Infrastructure, Platform Engineering, and Application teams. Translate operational requirements (e.g., service requests, provisioning tasks, support workflows) into automated AI-driven solutions. Build reusable components for prompt handling, API integrations, and workflow orchestration. Contribute to improving operational efficiency through automation and AI enablement. Support deployment, monitoring, and continuous improvement of AI-powered solutions. Our Current Technical Environment Cloud Architecture: MS Azure Programming: Python AI/LLM Platforms: Azure OpenAI / OpenAI APIs (or similar) Automation / Workflow Tools: REST APIs, Webhooks, Workflow engines (e.g., Logic Apps, n8n-like systems) DevOps / Tools: Git, CI/CD pipelines, Azure DevOps Frameworks / Others: Prompt Engineering, API Integration, Microservices, Automation Frameworks What You’ll Do Design and build Python-based automation solutions for infrastructure and operations use cases. Develop AI-powered assistants and workflow automation systems using LLM APIs and prompt-based logic. Integrate with enterprise systems using REST APIs, webhooks, and service integrations. Build reusable modules for prompt templates, API orchestration, and automation workflows. Translate business and operational requirements into working AI-driven solutions. Automate repetitive tasks such as service requests, provisioning workflows, validations, and reporting. Collaborate with DevOps and platform teams to deploy and manage solutions in cloud environments. Ensure solutions are scalable, maintainable, and production-ready. Debug issues, perform root cause analysis, and continuously improve automation workflows....