AI/ML Architect

As an Applied AI/ML Architect, you will be responsible for leading architectural decisions for the Cloud and Data Enterprise Portfolios. You must have a deep understanding of technical architecture and have implemented AI/ML solutions in a cloud environment. Knowledge of industry best practices around enterprise AI/ML adoption, security, architectures, and patterns. Experience with micro-services architectures and cloud migration for data is a plus. Technical experience with multi-cloud environments (AWS, Azure, Google Cloud Platform) is a plus. Strong interpersonal communication skills are required.
Experience with Amazon SageMaker for building, training, and deploying machine learning models at scale, and Amazon Bedrock for integrating foundational models via API to accelerate generative AI use cases, is highly desirable.
Position yourself as a trusted advisor to business teams and partner with them to understand their requirements for cloud implementations
Provide recommendations to clients with respect to AI/ML implementations and prepare technical implementation roadmaps for adoption
Create application architecture, data architecture, deployment architectures, functional design specifications, and assist with other project deliverables as needed
Design state-of-the-art AI/ML solutions that address customers requirements for function, scalability, reliability, security, and performance
Collaborate with other project teams and other laterals such as Information Security, Compliance, Controls, etc., on architectural solutions