SAP GenAI Consultant Client Advisor & Solution Architect

Job description

SAP GenAI Consultant Client Advisor & Solution Architect

Location : India (Preferred : Bangalore, Pune, Hyderabad, Mumbai, or Gurgaon)

Hybrid or client-facing travel as needed

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).