SAP Business AI Platform Architect - Agentic AI

SAP IT Business Systeme•Newtown Township, PA

1d•$151,900 - $340,900

About The Position

The SAP Business AI Platform Architect – Agentic AI will own the end-to-end journey from AI licensing to full consumption, driving measurable outcomes for strategic enterprise customers. The role is part of CE&A (Customer Engagement and Adoption), working alongside account teams and C-suite stakeholders to build and scale AI solutions and support AI-driven enterprise transformation. The position includes leading executive alignment, assessing customer AI maturity, defining future-state agentic architectures, prioritizing use cases, and leading proof-of-concept builds. It also involves coordinating SAP Business AI Platform activation and customer enablement, authoring adoption plans, tracking consumed ACV, and establishing AI Centre of Excellence structures and governance for agent monitoring and responsible AI.

Requirements

Track record of driving AI adoption and value realization in enterprise accounts.
Deep strategic and technical expertise in SAP Business AI Platform, including AI Core, Joule, Joule Studio, and Document AI.
Proficiency in agentic architecture, including A2A, MCP, and LLM/GenAI patterns applied to enterprise use cases and AI-driven transformation.
Proven record of leading proofs of concept under stakeholder scrutiny, from use-case prioritization through value articulation.
Experience engaging C-suite stakeholders, including CFOs, CHROs, and CIOs, with outcome-driven narratives grounded in business value.
Ability to independently author architecture documentation, adoption roadmaps, and executive materials.
Hands-on experience with AI change management and organizational readiness in digital transformation.
Strategic thinking, business understanding, influencing skills, emotional intelligence, and confidence working through complex problems.
Comfort using AI tools, including agentic AI, in day-to-day work; crafting effective inputs, automating routine tasks, evaluating AI-generated outputs, and driving AI-practice adoption within teams.

Responsibilities

Own the end-to-end journey from AI licensing to full consumption and drive measurable outcomes.
Lead executive alignment sessions with C-suite stakeholders, grounding discussions in business outcomes and transformation roadmaps.
Perform maturity assessments and define future-state agentic architectures covering A2A, MCP, and responsible AI principles.
Translate business goals into prioritized AI use cases and lead proof-of-concept builds to demonstrate viability and value.
Coordinate activation of AI Core, Joule, Joule Studio, and Document AI, and deliver customer enablement.
Author adoption plans, track consumed ACV, and course-correct deviations.
Establish AI Centre of Excellence structures and governance for agent monitoring and responsible AI.