Join EY and embark on a career journey tailored to your unique strengths. As a Senior Consultant on our AI Platform Build team, you will spearhead innovative AI/ML and Agentic project deliveries, leveraging cutting-edge AWS or Azure GenAI, NLP, and Transformer models. Your leadership will be pivotal in managing Agentic engagements, cultivating client and stakeholder relationships, and guiding your team to achieve exceptional outcomes. We are committed to fostering a high-performance culture and maintaining EY's leadership in AI/ML solutions.

Lead the end-to-end lifecycle of advanced analytics, Agentic ML, AI, and GenAI initiatives, ensuring seamless integration with cloud services. Mentor junior team members, equipping them with essential AI/ML and cloud technology expertise. Demonstrate outstanding project management capabilities to ensure the successful delivery of complex AI/ML projects within deadlines and exceeding client expectations. Engage in hands-on technical delivery and proactive problem-solving, maintaining the highest quality standards and driving innovation. Contribute significantly to both operational efficiency and long-term strategic planning. Stay abreast of the latest Data Science and AI advancements, applying this knowledge effectively to diverse client scenarios. Consolidate various perspectives, data sources, and methodologies to adeptly resolve client challenges. Cultivate and maintain robust relationships with clients, EY partners, senior leaders, and team members across all levels. Possess a solid understanding of foundational Data Science tools such as Python, R, or SAS.

Possess exceptional technical expertise in AWS cloud services, GenAI, NLP, and Transformer AI/ML models, evidenced by a strong track record of successful implementations. Exhibit outstanding project management skills, characterized by a methodical and results-driven approach to overseeing intricate AI/ML initiatives from conception to completion. Communicate complex technical concepts clearly and concisely to a wide range of stakeholders. Bring strategic insight and foresight to the Data Sciences team's vision and direction, staying informed about industry trends and technological advancements. Oversee ethical AI practices, ensuring fairness, accountability, and transparency in AI systems. Be an expert in AI governance, implementing and monitoring responsible AI frameworks. Manage risk and compliance with regulatory and ethical standards for AI deployment. Champion ethical decision-making throughout AI development and operational processes.