Architect (Multi-Cloud and AI Platforms)
Talent International US LLC
yesterday
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Azure
SAS (Software)
Multi-Cloud
Togaf
Containerization
AI Platforms
Kubernetes
Data Management
Machine Learning Operations
Api Design
Docker
Job description
- Design AI/ML Platforms: Architect scalable end-to-end MLOps and analytics platforms leveraging AWS SageMaker and Azure Machine Learning .
- Drive Modernisation: Own the strategy and roadmaps for Legacy-to-cloud transformations, specifically driving SAS 9.4 to SAS Viya migration and re-platforming programmes.
- Hybrid Infrastructure: Deliver robust architecture across a complex multi-cloud and physical datacenter estate, ensuring top-tier scalability, security, and resilience.
- Governance and Blueprints: Produce high-level (HLD) and low-level (LLD) design artefacts, lead architecture reviews, and ensure alignment with enterprise standards.
Requirements
Are you an experienced Architect who bridges the gap between cutting-edge Cloud AI and robust heritage data platforms?, * Multi-Cloud Expertise: Proven architecture experience across both AWS and Azure (mandatory), alongside on-premise datacenter environments.
- The SAS Edge: Solid understanding of SAS 9.4 and SAS Viya platforms, with direct experience in modernization or migration strategies.
- AI/ML Lifecycle: Hands-on experience architecting solution platforms with SageMaker and Azure ML.
- Structured Frameworks: Familiarity with architecture frameworks (TOGAF or equivalent), containerization (Docker/Kubernetes), and API-driven design.