SAP GenAI Consultant Client Advisor & Solution Architect

SAP GenAI Consultant Client Advisor & Solution Architect

Location:

About the Role

We 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).