• AI Applications:
o Participate in architectural discussions on data provisions for AI applications to enhance data processing and analytics capabilities.
o Create POC solutions independently with emerging AI technologies such as RAG, Agentic AI, MCP, low-code development, etc., and propose the best course of action to adopt new architectural patterns.
o Design and enhance reusable frameworks to maximize repeatability of solutions and reduce cost & overall time-to-market.
o Drive and improve CICD / LLMOps / MLOps practices to streamline and automate build, deploy, model management processes using tools such as GitHub Actions, Jenkins, etc.
o Explore AI capabilities in both Microsoft Azure and AliCloud, and align architectural design and internal processes with multiple cloud providers.
• Architectural Support and Implementation:
o Assist in the design and implementation of scalable, secure data architectures.
o Support the resolution of architectural issues and contribute to robust solutions using industry best practices.
o Facilitate data flow throughout the organization under the guidance of senior architects.
• Data Management and Integration:
o Help develop and maintain component data architectures.
o Assist in creating templates and complex solution components for software and platform engineers.
• Application Architecture:
o Support the design of application architectures and troubleshoot issues with component architectures.
• Team Collaboration:
o Work with teams towards common objectives, providing support in data architecture and security.
• Innovation and Learning:
o Explore emerging technologies and assess their potential impact.
o Engage in continuous learning from both successes and failures.
• Documentation and Reporting:
o Document data architecture designs, security policies, and procedures.
o Report on data solutions and security effectiveness to senior management.