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As a Senior Manager - GenAI Architect at EY, you will be responsible for leading and designing advanced AI architectures that drive strategic business outcomes. Your role will involve a deep understanding of data management, application development, AI technologies, cloud solutions, and user interface design. You will collaborate closely with cross-functional teams to deliver robust and scalable solutions that align with our business objectives. **Key Responsibilities:** - **Architectural Design:** Develop and oversee data architectures and application frameworks that support AI initiatives. Ensure seamless integration of data and applications with existing systems to create cohesive and efficient solutions. - **AI Solutions:** Design and implement AI-driven models and solutions by leveraging machine learning, natural language processing, and other AI technologies to solve complex business problems. - **Cloud Integration:** Architect cloud-based solutions that support scalability, security, and performance for AI applications. Collaborate with cloud providers and internal teams to ensure optimal cloud infrastructure. - **User Interface Design:** Work with UI/UX teams to ensure that AI solutions have user-friendly interfaces and deliver an exceptional user experience. - **Leadership & Collaboration:** Lead a team of architects and engineers, providing guidance and support in the development of AI solutions. Collaborate with stakeholders across departments to align technical strategies with business goals. - **Strategic Planning:** Develop and implement architectural strategies and roadmaps that align with the company's vision and technology advancements. - **Go-To-Market Strategy (GTM):** Collaborate with onsite teams and senior architects to define and execute go-to-market strategies for AI solutions. Provide architectural insights that align with clients" needs and support successful solution development. - **Innovation & Best Practices:** Stay updated on industry trends and emerging technologies to drive innovation and implement best practices in AI architecture and implementation. **Qualifications:** - **Education:** Bachelors or Masters degree in Computer Science, Engineering, Data Science, Mathematics, or a related field. - **Experience:** Minimum of 14+ years of experience in a senior architectural role focusing on AI, data management, application development, and cloud technologies. **Technical Skills:** - Hands-on experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS, and/or Google Cloud. - Experience in using and orchestrating LLM models on cloud platforms (e.g., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI). - Proficiency in writing SQL and data modeling. - Experience in designing and implementing AI solutions using a microservice-based architecture. - Understanding of machine learning, deep learning, NLP, and GenAI. - Strong programming skills in Python and/or PySpark. - Proven experience in integrating authentication security measures within machine learning operations and applications. - Excellent problem-solving skills with the ability to connect AI capabilities to business value. - Strong communication and presentation skills. - Experience in AI/ML solution deployment processes on Kubernetes, Web Apps, Databricks, or similar platforms. - Familiarity with MLOps concepts and tech stack, including code versioning, MLFlow, batch prediction, and real-time endpoint workflows. - Familiarity with Azure DevOps, GitHub actions, Jenkins, Terraform, AWS CFT, etc. At EY, we are dedicated to building a better working world by creating new value for clients, people, society, and the planet while fostering trust in capital markets. Our teams, enabled by data, AI, and advanced technology, help shape the future with confidence and provide solutions for current and future challenges. Working across assurance, consulting, tax, strategy, and transactions services, EY teams leverage sector insights, a globally connected network, and diverse ecosystem partners to offer services in over 150 countries and territories.,

The role of Senior Manager - GenAI Architect at EY involves leading and designing advanced AI architectures to drive strategic business outcomes. It necessitates a profound understanding of data management, application development, AI technologies, cloud solutions, and user interface design. Working closely with cross-functional teams, the individual is responsible for delivering robust and scalable solutions aligning with business objectives. Key Responsibilities: - Architectural Design: Develop and oversee data architectures and application frameworks supporting AI initiatives, ensuring integration with existing systems. - AI Solutions: Design and implement AI-driven models using machine learning, natural language processing, and other AI technologies to solve complex business problems. - Cloud Integration: Architect cloud-based solutions for scalability, security, and performance of AI applications, collaborating with cloud providers and internal teams. - User Interface Design: Collaborate with UI/UX teams to ensure user-friendly interfaces and exceptional user experiences for AI solutions. - Leadership & Collaboration: Lead a team of architects and engineers, providing guidance and support for AI solution development and aligning technical strategies with business goals. - Strategic Planning: Develop and implement architectural strategies and roadmaps aligning with the company's vision and technological advancements. - Go-To-Market Strategy (GTM): Collaborate with onsite teams and senior architects to define and execute go-to-market strategies for AI solutions, aligning with client needs. - Innovation & Best Practices: Stay updated on industry trends and emerging technologies to drive innovation and implement best practices in AI architecture and implementation. Qualifications: - Education: Bachelors or Masters degree in Computer Science, Engineering, Data Science, Mathematics, or related field. - Experience: Minimum of 14+ years in a senior architectural role focusing on AI, data management, application development, and cloud technologies. Technical Skills: - Hands-on experience deploying AI/ML solutions on Azure, AWS, and/or Google Cloud. - Proficiency in orchestrating LLM models on cloud platforms like OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI. - Expertise in SQL, data modeling, microservice-based architecture for AI solutions, machine learning, deep learning, NLP, and GenAI. - Strong programming skills in Python and/or Pyspark, integrating authentication security measures within ML operations, and connecting AI capabilities to business value. - Experience in AI/ML solution deployment on Kubernetes, Web Apps, Databricks, or similar platforms, familiarity with MLOps concepts and tech stack. - Knowledge of Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CFT, etc. Leadership: Demonstrated ability to lead teams, manage complex projects, and collaborate effectively with stakeholders. Problem-Solving: Strong analytical and problem-solving skills to design innovative solutions for complex challenges. Communication: Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders.,