Embark on a career journey at EY and unlock your potential within a supportive, inclusive, and global environment. As an AI Platform Build Manager in the "AI for AI" Managed Services team, you will spearhead pioneering AI/ML and Agentic project deliveries, harnessing AWS or Azure GenAI, NLP, and Transformer models. This pivotal role demands strong leadership to manage a portfolio of Agentic engagements, cultivate client and stakeholder relationships, and guide your team to exceptional outcomes. You will be instrumental in nurturing top talent and reinforcing EY's leadership in AI/ML solutions.

Lead the end-to-end lifecycle of advanced analytics, Agentic ML, AI, and GenAI initiatives, focusing on NLP and Transformer models, ensuring seamless cloud integration. Mentor junior team members, providing essential training in AI/ML and cloud technologies. Employ outstanding project management skills to deliver complex AI/ML projects on time and exceed client expectations. Actively participate in problem-solving and hands-on technical delivery, prioritizing quality and innovation. Possess strong analytical skills to dissect problems holistically, contribute to strategic planning, and stay abreast of Data Science and AI advancements. Effectively consolidate diverse perspectives to resolve client issues and build robust relationships with clients and internal stakeholders. Demonstrate a solid understanding of Data Science tools like Python, R, or SAS and lead teams of 5-10 individuals, inspiring them through effective delegation and charisma.

Showcase exceptional technical expertise in AWS cloud services, GenAI, NLP, and Transformer AI/ML models, backed by a history of successful implementations. Exhibit superior project management capabilities with a methodical, results-driven approach to overseeing intricate AI/ML initiatives. Communicate complex technical concepts clearly and concisely to diverse stakeholders. Contribute strategic insight and foresight to the Data Sciences team, staying informed about industry trends. Oversee ethical AI practices, ensuring fairness and transparency, and implement robust AI governance frameworks. Manage risk and compliance with regulatory and ethical standards, championing ethical decision-making in AI development.