Enterprise Cloud Architect Specialist

We are seeking an accomplished professional to lead our cloud infrastructure initiatives with a strong emphasis on designing and implementing scalable, secure, and resilient cloud architectures that integrate infrastructure, applications, and data platforms.

• Design and Implement Cloud Architectures: Develop enterprise-grade cloud architectures that leverage IaaS, SaaS enablement, data consolidation, and MLOps to support business transformation.
• Drive Cloud-Native IaaS Platforms: Design, architect, and implement cloud-native IaaS platforms on AWS, Azure, GCP, and other leading cloud providers.
• Enable SaaS Capabilities: Develop and implement SaaS capabilities, including multi-tenancy, subscription management, security, and compliance.
• Define Infrastructure-as-Code Patterns: Establish infrastructure-as-code (IaC) patterns using Terraform, Ansible, or CloudFormation to ensure consistency and efficiency in cloud deployments.
• Architect Scalable Cloud Platforms: Design and architect scalable, secure, and resilient cloud platforms for enterprise applications, ensuring seamless integration with AI/ML workloads.

• Lead Data Consolidation Strategies: Collaborate with cross-functional teams to design and implement data consolidation strategies across structured, semi-structured, and unstructured sources.
• Implement Data Lakes and Pipelines: Develop and implement data lakes, lakehouses, and data pipelines to unify enterprise data, enabling analytics and AI/ML workloads.
• Ensure Data Security and Governance: Ensure compliance with data security, governance, and lineage requirements, protecting sensitive information and maintaining transparency.
• Enable Enterprise Analytics and AI/ML Workloads: Partner with data scientists and ML engineers to operationalize models at scale, driving business innovation through consolidated data platforms.

• Architect and Implement MLOps Frameworks: Develop and implement MLOps frameworks for model training, deployment, monitoring, and lifecycle management, ensuring reproducibility and scalability.
• Integrate AI/ML Workflows: Integrate AI/ML workflows with data lakes, vector databases, and cloud-native pipelines, enhancing the decision-making process with accurate insights.
• Collaborate with Cross-Functional Teams: Collaborate with application teams, data engineers, and business stakeholders to deliver cloud transformation programs, ensuring alignment with business objectives.
• Provide Technical Leadership: Provide technical leadership and mentorship for cross-functional cloud engineering teams, defining best practices, reference architectures, and guardrails for cloud, data, and MLOps delivery.

• 12–15 years of IT experience, with at least 5+ years as a Cloud Architect.
• Strong expertise in IaaS platforms (VMs, networking, storage, Kubernetes, security) on AWS/Azure/GCP.
• Proven experience in SaaS solution design (multi-tenancy, subscription management, API-first architectures).
• Deep understanding of data consolidation (data lakes, warehouses, ETL/ELT, integration platforms).
• Strong MLOps expertise (Kubeflow, MLflow, Vertex AI, SageMaker, Azure ML, Airflow).
• Hands-on skills with IaC & automation (Terraform, Ansible, Helm, GitOps).
• Knowledge of DevOps & CI/CD for cloud and AI workloads.
• Strong understanding of cloud security, compliance, and cost management.
• Familiarity with vector and graph databases for AI-driven use cases a plus.

• Cloud certifications: AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure Solutions Architect Expert.
• MLOps/AI certifications: TensorFlow, PyTorch, or vendor-specific AI/ML certifications.
• Experience in multi-cloud and hybrid architectures.
• Industry domain exposure in BFSI, Healthcare, Retail, or Telecom.

• Bachelor's or Master's in Computer Science, Engineering, or related fields.
• Advanced certifications in Cloud, Data, or AI/ML highly desirable.