Found Description
Design end-to-end solution architectures across AI, software applications, data platforms, APIs, and cloud services. Follow architecture standards, patterns, principles, and reusable reference designs. Review and advise architecture findings in regulatory packs prior to being sent to the regulators. Lead the design of AI-enabled solutions, including generative AI, machine learning, automation, intelligent assistants, and analytics-driven applications. Architect scalable cloud-native platforms using services across AWS, Azure, GCP, or hybrid cloud environments. Guide application modernization, including microservices, containers, serverless, event-driven architecture, and API-led integration. Collaborate with data scientists, ML engineers, software engineers, and cloud engineers to move AI solutions from prototypes to production. Ensure solutions meet non-functional requirements including scalability, availability, performance, resilience, maintainability, and cost efficiency. Review te...