Define and oversee the end-to-end architecture of the Solution Hub platform, ensuring scalability, security, interoperability, and future readiness.
Translate business objectives into technical blueprints, reusable solution frameworks, AI reference architectures, and integration standards.
Design and implement architecture patterns for multi-system integration, API orchestration, data harmonization, and AI-driven workflows.
Architect GenAI-enabled capabilities such as intelligent assistants, copilots, retrieval-augmented generation (RAG), and automation pipelines.
Govern solution lifecycle management, versioning, and alignment with enterprise architecture principles, including AI governance and responsible AI standards.
Collaborate closely with product owners, AI engineers/data scientists, developers, and operations teams to ensure cohesive and scalable solution delivery
Evaluate emerging technologies-including GenAI platforms, agentic frameworks,vector databases, and orchestration tools and recommend architectural improvements for performance, scalability, and cost optimization.
Establish and maintain architecture documentation, AI design patterns, system diagrams, and best-practice guidelines.
Provide technical leadership during architecture reviews, PoCs, AI pilots, and enterprise-scale implementations, ensuring measurable business value.
Ensure compliance with security, data privacy, regulatory, and enterprise governance standards, including model governance, data lineage, and auditability.
