Introduction
Siemens Energy is hiring an Agentic AI Development Intern. This article outlines the role’s core responsibilities — designing, building and deploying conversational AI agents with Microsoft Copilot Studio and Azure AI Services; developing Power Automate workflows; coding Python for logic, data processing and API integrations; and integrating with Snowflake and Salesforce — plus the specific experience and knowledge required for this internship.
Role and Responsibilities
- Design, build and deploy conversational AI agents: Work end-to-end on conversational AI using Microsoft Copilot Studio and Azure AI Services, covering the stages of solution design, agent construction and deployment into production contexts.
- Develop and manage automation workflows: Create, maintain and optimize automation solutions using Power Automate to support agent behaviors, trigger processes and streamline repetitive tasks tied to AI agents.
- Write and maintain Python scripts: Produce Python code for custom logic, data processing and API integrations that enable agents to perform domain-specific tasks and interact with external services.
- Integrate AI solutions with enterprise data platforms: Connect conversational agents and related services to enterprise data environments such as Snowflake to enable data-driven behavior and access to centralized datasets.
- Connect AI agents with CRM systems: Link agents and automation flows to CRM platforms such as Salesforce, enabling agents to read from and write to customer records and CRM-driven processes.
- Collaborate with sales and business teams: Engage with sales and other business stakeholders to gather requirements, align agent capabilities with business needs and iterate on functional specifications.
Required Skills and Experience
- AI/ML exposure: Project-based or academic experience in AI/ML demonstrating practical involvement in relevant work or study.
- Foundational AI knowledge: A basic understanding of AI/ML principles and generative AI concepts to support developing and troubleshooting agent behaviors.
- Platform exposure: Hands-on exposure or experience with Microsoft Copilot Studio and Azure AI Services to build and deploy conversational solutions.
- Automation experience: Familiarity with Power Automate for developing workflow automations that complement AI agent interactions.
- Python programming: Practical Python skills for writing scripts that implement custom logic, handle data processing and integrate with APIs.
- Enterprise integrations: Exposure to enterprise platforms such as Snowflake and Salesforce, enabling integration of AI solutions with data platforms and CRM systems.
Conclusion
Siemens Energy’s Agentic AI Development Intern role blends engineering with cross-team collaboration. Candidates should be comfortable designing conversational agents with Microsoft Copilot Studio and Azure AI Services, automating with Power Automate, coding in Python, and integrating with Snowflake and Salesforce. Project-based or academic AI/ML experience and foundational generative AI knowledge round out the requirements. Strong applicants will bridge technical builds and business needs.
