SAP GenAI Consultant Client Advisor

11 hours ago

New Delhi, India LTIMindtree Full time

Job descriptionSAP GenAI Consultant Client Advisor & Solution ArchitectLocation:India (Preferred: Bangalore, Pune, Hyderabad, Mumbai, or Gurgaon)Hybrid or client-facing travel as neededAbout the RoleWe are seeking a high-impact SAP GenAI Consultant to lead conversations with clients on Generative AI adoption in SAP environments. This role demands a rare combination of deep SAP expertise, Technology & architectural acumen, AI/ML/GenAI proficiency, business consulting mindset, and executive communication skills.As part of our SAP and AI Innovation teams, you will drive the discovery, design, and realization of GenAI-led transformation initiatives across SAP S/4HANA, SAP BTP, and broader enterprise processes.Key Responsibilities- Lead client-facing engagements on GenAI use cases within SAP landscapes. - Conduct discovery workshops to identify, qualify, and prioritize AI opportunities. - Build solutions aligned to customer’s business goals and transformation initiatives. - Architect scalable GenAI solutions leveraging SAP BTP, Business AI, SAP Joule, and industry leading LLMs. - Collaborate with sales, pre-sales, and CoE teams to shape differentiated proposals. - Develop PoVs and reusable solution assets to accelerate client adoption. - Stay abreast of SAP’s AI roadmap, industry trends and contribute to internal capability building.Required Qualifications- 10+ years of SAP experience with deep functional or technical expertise (e.g., S/4HANA, SAP BTP). - 2+ years of hands-on experience with AI/ML or Generative AI technologies (e.g., LLMs, NLP). - Proficiency with SAP BTP services like AI Core, AI Launchpad, CAPM, Integration Suite. - Experience with SAP Joule or similar GenAI copilots in the SAP ecosystem. - Strong client communication and stakeholder management skills. - Ability to translate business requirements into GenAI architecture and solutions.Desirable Skills- Exposure to enterprise architecture frameworks (e.g., TOGAF, SAP EA) - Understanding of ethical AI, data privacy, and governance in enterprise settings. - Experience with PoCs or AI solution development using LLM APIs (OpenAI, Azure, Google). - Exposure to SAP-led business process optimization or digital transformation initiatives. - Knowledge of composable enterprise and modular architecture principles. - Contributions to AI thought leadership (blogs, webinars, innovation showcases).

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