Senior AI Solution Architect / Engineer
Siemens View all jobs
- Bangalore, Karnataka
- Permanent
- Full-time
- Demonstrated end-to-end expertise in designing, architecting, and implementing GenAI solutions-especially those leveraging RAG, agent frameworks and reusable components / API's and MCP server.
- Production deployment expertise on at least one of the following platforms: AWS, Azure, Google Cloud, or Snowflake.
- Long-term development and lifecycle management of GenAI solutions, focusing on innovation, sustainability and operational excellence.
- Strategic thinking and visionary leadership in GenAI adoption.
- Stakeholder management and cross-functional communication.
- I have a bachelor's degree with more than 5 years in solution architecture with a focus on generative AI, agent-based systems, and business consulting for GenAI solutions.
- Strong software engineering skills building and operating GenAI solutions.
- Deep experience consulting on business and technical requirements for GenAI and agent solution projects.
- Architecture of scalable GenAI platforms, integrating LLMs, agent frameworks (LangGraph, ADK, etc.), and vector databases.
- Familiarity with best practices in operationalizing GenAI, such as prompt engineering, model evaluation, and compliance.
- Ability to mentor and guide teams through complex GenAI challenges.
- Excellent written and verbal communication, suitable for both technical and business audiences.
- Use-Case consulting skills for GenAI projects