Principal AI Solutions Architect - Senior Manager - Consulting Services

At EY, we are dedicated to creating a future filled with opportunities and innovations. Join our dynamic team to elevate your career in a global environment rich with diversity and collaboration. We are committed to building a better working world. We specialize in business intelligence and digital analytics, combining tailored strategies in customer analytics, data visualization, and optimization. As pioneers in machine learning and artificial intelligence, especially in generative AI, we empower our clients to leverage advanced technologies securely and effectively. Our methods are grounded in best practices and extensive business insight, ensuring exceptional execution and client satisfaction. The Opportunity We invite you to apply for the role of Principal AI Solutions Architect, where you will lead the charge in AI innovations and strategic implementations within the Technology, Media, and Telecommunications (TMT) sector. The ideal candidate will have deep expertise in AI and machine learning, a proven track record of delivering transformative AI solutions, and a passion for using AI to drive significant outcomes for clients. This vibrant sector offers extensive opportunities for skill enhancement and career progression. Your Key Responsibilities • Design and architect complex, multi-layered AI systems that are scalable, robust, and customized to achieve transformative results in the TMT industry. • Lead the technical design and deployment of enterprise-level AI solutions, utilizing cloud-native architectures for improved data management and analytics. • Conduct in-depth technical sessions to identify detailed AI requirements, translating them into actionable execution plans with defined success metrics. • Create AI governance frameworks to address ethical considerations, ensure compliance, and enforce strong security measures in solution designs. • Apply advanced AI methodologies, including computer vision and Generative AI/Natural Language Processing, to drive tangible enhancements in client operations. • Translate complex analytical insights into actionable strategies for C-suite stakeholders using sophisticated data visualization techniques. • Mentor AI Engineers and Data Scientists, promoting best practices in software engineering, algorithm optimization, and systems integration. • Stay ahead of emerging AI technologies and methodologies, ensuring our service offerings remain competitive. • Serve as a technical authority on data architecture, championing modern data technologies for managing high-volume, fast-paced data ecosystems. • Execute AI projects meticulously, ensuring alignment with specifications, deadlines, and quality standards. • Maintain an expert understanding of industry trends and technological advancements to improve strategic solution architecture. • Foster a culture of technical excellence and teamwork within AI project teams. • Drive business development initiatives and cultivate long-term client relationships through impactful AI-driven solutions. To qualify for the role, you must have: General and Technical Experience • 8-10 years of experience in industry or technology consulting. • In-depth knowledge of AI fields, including machine learning, deep learning, Natural Language Processing, and computer vision. • Ability to design end-to-end AI solutions from data collection and processing to model development, deployment, and monitoring. • Exceptional proficiency in advanced Python programming for AI applications. • Hands-on experience with stable and evolving AI frameworks and design patterns. • Demonstrated history of deploying AI models in production settings. • Proven ability to lead teams in the design, testing, deployment, and refinement of AI models, incorporating MLOps and AIOps practices. • Practical understanding of AI governance principles and their implementation within AI pipelines. • Outstanding leadership, communication, and project management skills. • Willingness to travel to meet client requirements. Industry Experience • Extensive background in the telecommunications sector with a solid understanding of industry trends. • Experience with the Telecom customer lifecycle, including marketing, acquisition, onboarding, billing, and customer care. • Familiarity with Telecom network management, covering installation, maintenance, repairs, data collection, and network optimization. • Knowledge of customer segmentation, churn prediction, and recommendation systems specific to media and telecommunications. • Understanding of revenue assurance, data, systems, and processes. • Awareness of regulatory and compliance considerations relevant to the TMT sector. • Experience with OSS/BSS systems, including implementation, enhancement, maintenance, and support. • Familiarity with telecommunications protocols like 5G and LTE and their data science implications. • Proven ability to design and implement machine learning solutions to enhance network performance and customer