We are looking an experienced Data and AI Solution Architect to design and implement powerful solutions demonstrating Azure and AWS cloud platforms. The ideal candidate will have a deep understanding of data architecture, artificial intelligence, and cloud technologies, with a focus on creating scalable and efficient solutions for our clients.

Responsibilities:

Architecture Design: Design comprehensive data and AI architectures using Azure and AWS services. Create detailed solution blueprints, including data flow diagrams and system architectures. Ensure designs implement to standard methodologies for security, scalability, and performance

Technical Leadership: Provide technical guidance to development teams throughout the project lifecycle. Collaborate with multi-functional teams to align solutions with business objectives.  Mentor junior architects and developers on cloud and AI technologies

Cloud Platform Expertise: Leverage Azure and AWS services for data storage, processing, and analytics. Implement AI and machine learning solutions using cloud-native tools. Optimize cloud resource utilization and cost management

Data Management: Design data pipelines for efficient ETL processes. Implement data governance and quality control measures. Architect solutions for big data processing and real-time analytics

AI and Machine Learning: Develop architectures for machine learning model training and deployment. Implement MLOps practices for continuous integration and delivery of AI models. Design solutions for natural language processing, computer vision, and other AI domains

Integration and APIs: Design API strategies for detailed integration between systems. Implement microservices architectures when appropriate. Ensure interoperability between Azure, AWS, and on-premises systems.

Security and Compliance: Incorporate security standard methodologies into all solution designs. Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA). Implement data encryption, access controls, and audit mechanisms.

Performance Optimization: Conduct performance testing and optimization of data and AI solutions. Implement caching strategies and data partitioning for improved efficiency. Design for high availability and disaster recovery.

Emerging Technologies: Stay updated on the latest advancements in cloud, data, and AI technologies. Evaluate and recommend new tools and services for potential adoption.