• Design and implement end-to-end generative AI solution architectures that meet business requirements and adhere to industry best practices.
• Translate complex business challenges into scalable, secure, and cost-efficient architectures leveraging generative AI technologies.
• Evaluate and select appropriate frameworks and architectural patterns to ensure performance, scalability, and maintainability.
• Develop prototypes and proof-of-concepts to validate architectural decisions and demonstrate business value.
• Ensure AI solutions comply with ethical standards, governance frameworks, and regulatory requirements, embedding responsible AI practices into the
architecture.
• Provide technical leadership and mentorship to engineering and data science teams, ensuring alignment with architectural principles.
• Stay abreast of emerging trends in GenAI design patterns, agentic frameworks, orchestration tools, and MCP (Model Context Protocol) to inform strategic
and architectural decisions.
• Communicate complex architectural concepts to technical and non-technical stakeholders effectively.