Opportunity for a Manager with extensive experience in Generative AI and SAP ecosystems to join our Deloitte Touche Tohmatsu India LLP team in Noida.

This role involves architecting and implementing cutting-edge AI solutions, focusing on SAP's comprehensive AI capabilities. You will play a pivotal role in driving innovation and enabling functional excellence within enterprise technology.

As a leader, you will guide teams and advise stakeholders on strategic AI adoption, ensuring solutions are secure, compliant, and aligned with responsible AI principles.

Architect end-to-end AI solutions leveraging SAP Business AI, including SAP S/4HANA Embedded AI, SAP Joule, SAP AI Core, and BTP services. Translate business needs into robust technical architectures, integration designs, and implementation roadmaps. Evaluate and select optimal AI solutions based on business requirements, cost, and scalability. Define enterprise data architectures, integration strategies, security controls, and governance frameworks. Design and govern integrations across SAP and non-SAP landscapes. Lead customer workshops, design thinking sessions, and proof-of-concepts. Provide technical leadership and mentorship throughout project lifecycles. Ensure AI solutions adhere to enterprise standards, security policies, and responsible AI principles. Identify AI-enabled transformation opportunities across business processes. Act as a trusted advisor to business and IT stakeholders.

Requires 15+ years of experience, with a minimum of 2 years specifically focused on AI/ML or SAP Business AI solutions. A Bachelor's degree in a relevant technical field such as Computer Science, Engineering, or Data Science is essential. While not mandatory, a Master's degree in Technology, Artificial Intelligence, Data Science, or Business Administration is preferred. SAP BTP, SAP AI, Cloud Architecture, or Enterprise Architecture certifications are highly advantageous. Experience with GenAI, LLMs, RAG, and prompt engineering is crucial. Proficiency in SAP integration technologies and enterprise data architecture is required.