Experience:

• 4+ years of experience in software/system architecture
• at least 3 years working with ML-based solutions

Qualification:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field

Responsibilities:

• Collaborate with AI/ML engineers, developers, and platform architects to define end-to-end solution architectures for AI-powered systems
• Design and review architectures that support LLM-based, Deep Learning, and traditional ML workloads
• Drive architectural alignment across components
• Incorporate Non-Functional Requirements (NFRs) into system designs
• Define architecture patterns for deploying models as microservices
• Evaluate and recommend suitable cloud services and managed tools
• Ensure high standards of code quality, benchmarking performance, and architectural documentation
• Collaborate in technical reviews and mentor engineering teams on architectural best practices and trade-off's

Nice to have:

• Prior exposure to architecture in the Power/Energy or Electrification domain

More skills:

AI system lifecycle, model development, serving, monitoring, retraining, containerization (Docker), orchestration (Kubernetes or ECS), cloud-native AI development using AWS or Azure tools and Services, agent-based systems, model observability, logging frameworks, telemetry strategies for AI applications, hybrid system architectures

Other:

• We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society
• All employment decisions at Siemens are based on qualifications, merit and business need