Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Cloud Architecture, Cloud Computing, Cost Control, Cross-Functional, Distributed Computing, GCP (Good Clinical Practices), Microsoft Windows Azure, Python Programming/Scripting Language, Regulatory Compliance, Snowflake Schema, Software Engineering, Standards Development
Cloud Data & AI Architect – Enterprise Platforms
Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time
Overview:
We are seeking a Cloud Data & AI Architect to lead the design and delivery of enterprise-scale data and AI platforms. This role focuses on building scalable cloud ecosystems that enable advanced analytics and AI-driven innovation.
Key Responsibilities:
- Architect and implement modern cloud data and AI platforms
- Define architecture standards, governance models, and best practices
- Collaborate with cross-functional teams to deliver scalable solutions
- Ensure performance, reliability, and cost optimization
Required Skills:
- Strong experience in cloud architecture (AWS, Azure, GCP)
- Expertise in designing large-scale data platforms
- Hands-on implementation experience in distributed systems
Nice to Have / Coverage:
- Data Engineering: Databricks, Snowflake, Azure Synapse, BigQuery
- ML/AI Engineering: Python, PyTorch, MLOps frameworks
- GenAI & Agentic AI: Experience with LangChain and LLM-based systems
- AI Governance: Responsible AI, compliance, and regulatory frameworks
For more details reach at resumes@navitassols.com.