Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your Role And Responsibilities As an AI Data Scientist - Managing Counsultant, you will leverage your expertise in combining data analysis and business acumen to tackle cognitive computing challenges. You will architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Your Primary Responsibilities Will Include Design AI Solutions: Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer. Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing advanced analytics techniques and a deep understanding of NLP and ML methods. Lead AI Project Lifecycle: Manage the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful solution delivery. Collaborate on AI Projects: Work with various stakeholders to solve complex business problems and leverage the power of artificial intelligence for cognitive computing, applying strong programming skills and proficiency in Python and AI frameworks. Optimize AI Solutions: Utilize expertise in one of the following areas - NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies - to optimize AI solutions and drive business value. This job can be performed from anywhere in the U.S. Preferred Education Master's Degree Required Technical And Professional Expertise Cloud Platforms and Services: Deep experience with Cloud Platform (e.g., Kubernetes, AWS, Azure, GCP) and related services, and deep experience with databases (SQL, NoSQL, PostreSQL, MongoDB). Advanced Analytics Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. AI Solution Development: Experience in architecting and delivering AI solutions using cutting-edge technologies, including tools like Github Copilot and Amazon Code Whisperer. Full AI Project Lifecycle: Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments. Preferred Technical And Professional Experience NLP and ML Methods: Understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large language models Experience with Banking/Financial Modeling