Technical Architect - DPS Innovation

Role Overview: You will be working as a Lead Solution Architect for the Innovation Team at EY, driving the evaluation, prototyping, and adoption of emerging technologies for customers across various industries. Your role will involve leveraging your expertise in full stack development, AI/ML, MEAN stack, databases, cloud platforms, and more to guide customers in implementing innovative solutions that deliver business value. Key Responsibilities: - Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and oversee their implementation. - Contribute to the development of products or tools based on Artificial Intelligence technologies. - Lead a team of Developers and provide guidance. - Hands-on experience in designing and developing applications using Microsoft technologies such as ASP.Net, C#, HTML5, MVC, Angular/React/Node Js. - Analyze tools and solutions to identify issues and determine suitable debugging techniques. - Evaluate, design, and implement solutions using emerging technologies. - Strong understanding of architectural patterns, integration approaches, and technology adoption frameworks. - Experience with cloud-native architectures, containerization (Docker/Kubernetes), and DevOps practices. - Ability to quickly learn and apply new technologies in unfamiliar domains. - Excellent communication, stakeholder management, and presentation skills. - Identify internal and external factors impacting requirements and analyze information from stakeholders. - Participate in the design and build of data architecture solutions, data storage, sharing, and utilization within the organization. - Update policies, standards, and procedures on data management for compliance with relevant legislation. - Support the identification and selection of compatible emerging technologies and assess their feasibility. - Provide support in defining security specifications and integrating appropriate security controls. - Develop solution architecture utilizing appropriate tools, techniques, and models of system components and interfaces. Qualifications Required: - 5+ years of experience in a similar profile with a strong service delivery background. - Strong expertise in AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects. - Hands-on experience in designing and developing applications using Microsoft technologies. - Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch. - Experience with cloud solutions like Azure or AWS and container technologies like Docker. - Ability to work effectively with multi-cultural global teams and build strong relationships with project stakeholders. (Note: Additional details about the company have been omitted as they were not explicitly mentioned in the job description.),