Job Description
Dear Aspirant!
We empower our people to stay resilient and relevant in a constantly changing world. We’re 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 you’d make a great addition to our vibrant international team.
We are looking for: Associate Software Architect – AI Solutions,
You’ll 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!
- Bachelor’s or Master’s 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.
Create a better #TomorrowWithUs!
This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.
We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.
Find out more about Siemens careers at: www.siemens.com/careersFind out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds