Ai Cloud Architect

3 days ago

Bengaluru Karnataka, India Siemens Full time

Hello Talented Techie

We provide support in Project Services and Transformation, Digital Solutions and Delivery Management.

We offer joint operations and digitalization services for Global Business Services and work closely alongside the entire Shared Services organization. We make optimal use of the possibilities of new technologies such as Business Process Management (BPM) and Robotics as enablers for efficient and effective

We are looking for **AI Cloud Architect**

We are seeking a highly skilled **AI Cloud Architect** to lead the design, development, and deployment of AI-powered solutions on cloud platforms (AWS, Azure, or GCP). The role combines expertise in cloud-native architectures, AI/ML model lifecycle, MLOps, and data infrastructure to drive intelligent, scalable digital transformation across enterprise services.

**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.

**Cloud Architecture**
- Lead cloud solution architecture for AI workloads, including compute, storage, networking, and security.
- Define cloud-native architectures using Kubernetes, containers, serverless, 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**
- Provide technical mentorship and governance on AI solution architecture.

**You’d describe yourself as**:

- Bachelor's or Master’s 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 with MLOps: MLflow, Kubeflow, Airflow, CI/CD tools.
- Solid knowledge of data engineering and streaming tools.
- Deep understanding of cloud-native security, IAM, and architecture principles.
- Strong problem-solving and analytical mindset.
- Excellent communication and stakeholder engagement skills.
- Ability to lead teams and drive initiatives with mínimal supervision.
- Passionate about innovation and emerging AI technologies.

Ready to unlock the full potential of technology? Join us

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