Associate Software Architect AI Solutions

3 days ago

Bengaluru, Karnataka, India Siemens Full time ₹ 20,00,000 - ₹ 25,00,000 per year

We empower our people to stay resilient and relevant in a constantly changing world. Were looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like youd make a great addition to our vibrant international team. We are looking forAssociate Software Architect AI Solutions,Youll make an impact by

- 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 with an emphasis on modularity, performance, and maintainability.
- Drive architectural alignment across components such as model serving, orchestration layers, data pipelines, and cloud infrastructure.
- Incorporate Non-Functional Requirements (NFRs) including scalability, testability, observability, latency, and fault tolerance into system designs.
- Define architecture patterns for deploying models as microservices, integrating with APIs, and ensuring CI/CD readiness.
- Evaluate and recommend suitable cloud services and managed tools from AWS (Sagemaker, Bedrock) and Azure (ML Studio, OpenAI, AI Foundry).
- Ensure high standards of code quality, performance benchmarking, and architectural documentation.
- Collaborate in technical reviews and mentor engineering teams on architectural best practices and trade-offs.

Use your skills to move the world forward

- Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
- 7+ years of experience in software/system architecture, including at least 4 years working with AI/ML-based solutions.
- Strong understanding of AI system lifecycle, including model development, serving, monitoring, and retraining.
- Experience designing scalable systems with Python, FastAPI, containerization (Docker), and orchestration (Kubernetes or ECS).
- Proficiency in defining and measuring NFRs, conducting architectural performance reviews, and supporting DevOps and MLOps practices.
- Solid hands-on experience with cloud-native AI development using AWS or Azure tools and services
- Experience working in AI/ML-driven environments, especially with LLMs, RAG architectures, and agent-based systems.
- Familiarity with model observability, logging frameworks, and telemetry strategies for AI
- applications.
- Prior exposure to architecture in the Power/Energy or Electrification domain is a strong plus.
- Good understanding of hybrid system architectures that integrate real-time and batch
- pipelines.
- Strong collaboration and documentation skills with the ability to align cross-functional technical teams.

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