Hello eager tech expert!
We are seeking a highly skilled AI Cloud Architect to lead the design, development, and deployment of AI-powered solutions across cloud platforms such as AWS, Azure, or GCP. This role blends deep technical expertise in cloud-native architecture, AI/ML lifecycle management, MLOps, and data infrastructure to drive intelligent, scalable digital transformation across enterprise services.
You'll break new ground by
Key Responsibilities
AI & ML Architecture
- Design end-to-end AI/ML pipelines using cloud-native tools (e.g., SageMaker, Azure ML, Vertex AI).
- Architect scalable solutions for model training, deployment, monitoring, and governance (MLOps).
- Collaborate with data scientists to operationalize ML models in production environments.
Cloud Architecture
- Lead cloud solution architecture for AI workloads including compute, storage, networking, and security.
- Define cloud-native architectures using Kubernetes, containers, serverless technologies, etc.
- Implement cost-optimized and secure AI deployments.
Data & Integration Layer
- Architect data pipelines for AI using tools like Apache Spark, Kafka, Dataflow, etc.
- Ensure data privacy, lineage, and regulatory compliance (e.g., GDPR, HIPAA).
DevOps & MLOps
- Define and implement CI/CD pipelines for AI/ML lifecycle.
- Enable observability, performance tuning, model versioning, and rollback strategies.
Cross-Functional Leadership
- Partner with business stakeholders, data teams, and application teams to align solutions with business goals.
- Provide technical mentorship and governance on AI solution architecture.
You're excited to build on your existing expertise, including:
Required Skills & Qualifications
- Bachelor's or master's degree in computer science, Data Science, Engineering, or related field.
- Strong experience with at least one cloud platform (AWS, Azure, GCP).
- Proven expertise in AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
- Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, CI/CD tools.
- Solid knowledge of data engineering and streaming tools.
- Deep understanding of cloud-native security, IAM, and architecture principles.
- Experience with API design, RESTful services, and microservices.
Soft Skills
- Strong problem-solving and analytical mindset.
- Excellent communication and stakeholder engagement skills.
- Ability to lead teams and drive initiatives with minimal supervision.
- Passionate about innovation and emerging AI technologies.
Create a better #TomorrowWithUs!
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. Come bring your authentic self and create a better tomorrow with us.
This role is based in Bangalore. But you'll also get to visit other locations in India and globe, so you'll need to go where this journey takes you. In return, 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 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome 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 creativity and help us craft tomorrow.
Find out more about Siemens careers at: www.siemens.com/careers 
