Senior AI Solution Engineer _ GSO
Siemens AG (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 22–35 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Identify, prototype, and implement practical AI and Generative AI solutions (including RAG pipelines and multi-agent systems) to automate workflows and deliver measurable business value in service operation units.
- Design, develop, and harden production-grade AI microservices and agent-based applications leveraging cloud platforms (Azure/AWS), container orchestration, and API frameworks.
- Lead technical aspects of AI governance including responsible AI implementation, security, monitoring, and continuous improvement of deployed solutions.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or equivalent experience.
- 4+ years of experience owning AI/ML domain-specific strategy, governance, delivery, and stakeholder management.
- 4-6 years delivering AI/ML, Data Science solutions in production environments, including 2-3 years focused on Generative AI/LLM applications.
- Proficient in Python programming, AI architecture design, development of RAG pipelines, agent frameworks, and cloud technologies (Azure/AWS), with knowledge of MLOps tools (Docker, Kubernetes, CI/CD).
Ideal Candidate Profile
- Experienced in delivering enterprise-scale AI/ML digital solutions with strategic ownership of AI solution lifecycle in cross-functional, global teams.
- Strong expertise in Generative AI, LLM integration, prompt engineering, and agent orchestration frameworks relevant to service operations.
- Hands-on with cloud-native AI deployments, microservices architecture, security governance (Responsible AI, data privacy), and operational metrics to ensure scalability and reliability.