Senior Manager - AI and DATA -Architect

Role Overview: As a Senior Architect at EY, you will lead and design advanced AI architectures to drive strategic business outcomes. Your responsibilities will include 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 business objectives. Key Responsibilities: - Architectural Design: - Develop and oversee data architectures and application frameworks supporting AI initiatives. - Ensure integration of data and applications with existing systems for cohesive and efficient solutions. - AI Solutions: - Design and implement AI-driven models and solutions using machine learning, natural language processing, and other AI technologies to solve complex business problems. - Cloud Integration: - Architect cloud-based solutions supporting 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 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 AI solution development. - Collaborate with stakeholders across departments to align technical strategies with business goals. - Strategic Planning: - Develop and implement architectural strategies and roadmaps aligning 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 aligning with clients" needs for 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: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. - Experience: Minimum of 3 years of experience 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. - Experience in orchestrating LLM models on cloud platforms like OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI. - Proficiency in SQL, data modeling, microservice-based architecture, machine learning, deep learning, NLP, GenAI. - Strong programming skills in Python and/or PySpark. - Experience integrating authentication security measures within ML operations and applications. - Familiarity with MLOps concepts, code versioning, MLFlow, batch prediction, real-time endpoint workflows. - Knowledge of Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CFT, etc.,