Siemens Energy is hiring for the role of Intern – Agentic AI Development under its Transformation of Industry division. This internship is designed for candidates who want hands-on exposure to enterprise-level generative AI systems, automation platforms, and intelligent agent development using Microsoft technologies. It is a strong opportunity for students and freshers aiming to build careers in AI engineering and enterprise automation.
Role Overview
- Role: Intern – Agentic AI Development
- Company: Siemens Energy
- Location: Gurugram (Haryana) & Pune (Maharashtra), India
- Business Unit: Compression – Transformation of Industry
- Employment Type: Full-time Internship
- Domain: Artificial Intelligence / Generative AI / Enterprise Automation
- Experience Level: Students / Freshers with AI exposure
This role focuses on building practical AI solutions that directly support enterprise operations and business teams.
About the Internship
The Intern – Agentic AI Development position emphasizes real-world implementation of AI systems rather than purely theoretical research. Interns will work on conversational AI agents, workflow automation, and integration with enterprise data systems. The exposure includes design, deployment, testing, and optimization of AI agents within corporate environments. This ensures candidates understand how AI operates at scale inside large organizations.
Purpose of the Role
The primary objective of this internship is to design and deploy intelligent AI agents that automate business workflows and improve operational efficiency. Interns will contribute to AI solutions that integrate with enterprise applications, CRM systems, and data platforms. The focus remains on reliability, scalability, and measurable business impact.
Key Responsibilities
- Design, build, and deploy conversational AI agents using Microsoft Copilot Studio and Azure AI Services
- Develop automation workflows using Microsoft Power Automate
- Write and maintain Python scripts for data processing and API integrations
- Integrate AI systems with enterprise data platforms such as Snowflake
- Connect AI agents with CRM systems like Salesforce
- Collaborate with sales and business stakeholders to gather functional requirements
- Conduct debugging, testing, and performance tuning of AI solutions
- Maintain documentation for AI workflows, integrations, and deployment processes
- Stay updated with the latest advancements in Generative AI, Azure AI, and Power Platform technologies
Technical Skills Required
- Basic understanding of AI/ML principles and Generative AI concepts
- Familiarity with Microsoft Copilot Studio (preferred)
- Exposure to Azure AI Services
- Knowledge of automation tools such as Power Automate
- Programming experience in Python
- Understanding of APIs and system integrations
- Exposure to enterprise data platforms like Snowflake (good to have)
- Awareness of CRM platforms such as Salesforce (advantage)
Strong fundamentals combined with a willingness to learn enterprise tools are essential for success in this role.
Professional & Soft Skills
- Strong analytical and logical thinking ability
- Effective written and verbal communication skills
- Ability to collaborate across technical and business teams
- Curiosity and eagerness to explore new AI technologies
- Ownership mindset and proactive problem-solving approach
These competencies help interns perform efficiently in structured corporate environments.
Work Environment & Learning Exposure
Siemens Energy offers a collaborative and innovation-driven environment where interns gain practical exposure to enterprise AI deployment. The internship provides experience in integrating AI solutions into real business workflows, working alongside industry professionals, and understanding corporate-scale digital transformation strategies. Interns will gain insights into how AI agents are implemented securely and responsibly within global organizations.
Career Growth Opportunities
This internship can lead to long-term roles such as:
- AI Engineer
- Machine Learning Engineer
- Automation Engineer
- Enterprise AI Consultant
- Cloud AI Developer
Strong performance, technical expertise, and business understanding significantly improve future growth prospects.
Who Should Apply
- Students pursuing B.E / B.Tech / M.Tech in Computer Science, IT, AI, or related fields
- Candidates with project-based exposure to AI, ML, or automation
- Freshers interested in enterprise AI and cloud technologies
- Individuals aiming to build careers in applied AI solutions
A strong academic foundation and practical project experience strengthen candidacy.
How to Apply
Apply through the official Siemens Energy careers portal:
Ensure your resume highlights AI projects, Python development experience, automation exposure, and familiarity with Azure or Microsoft platforms. Including GitHub repositories or project portfolios can significantly improve shortlisting chances.
