AI Engineer Manager Minnesota (onsite, Hybrid) W2 Only

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Encore Consulting Services, is seeking the following. Apply via Dice today!AI Engineer ManagerMinnesota (onsite, Hybrid)6+ months contractFull Job DescriptionAs an AI Engineering Manager, you will support the design, development, and deployment of AI applications across healthcare sectors. You will lead client engagements and design and deliver architecture for complex AI and R&D type problems. AI Engineering Managers are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case priorities, defining the data strategy, and leading application deployment to solve our clients' use cases. They work cross-functionally with data scientists, DevOps, and data engineers, project managers, and industry experts to develop robust AI platforms and cloud solutions.Key responsibilities include but are not limited to:Work with clients to design, develop, and deploy new architectures to support machine learning & automation applicationsLeverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologiesDesign and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI use casesSupport and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiativesParticipate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on premAdopt best engineering practices in automation, HPC and AI infrastructure and design patternsDefine and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutionsDisplay strong thought leadership and execution in pursuit of modern data architecture principles and technology modernizationMentor, motivate, and coach junior members on technical best practices and inspire professional development