Tech Delivery Subject Matter Expert

Tech Delivery Subject Matter Expert

Project Role : Tech Delivery Subject Matter Expert
Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes.
Must have skills : SAP ABAP Cloud
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary
Build AI native, cloud ready SAP solutions on ABAP Cloud by combining deep ABAP and SAP platform expertise with agentic AI architectures, LLM tooling, and rapid experimentation. The role focuses on designing, implementing, and scaling intelligent SAP applications that integrate ABAP Cloud with LLMs, retrieval pipelines, APIs, and enterprise systems—moving from automation to autonomy.
This role actively builds AI systems, not just consumes AI tools.

Core Responsibilities
AI Native SAP Application Build
Design and build ABAP Cloud applications that embed LLM driven intelligence into SAP business processes.
Implement AI enabled SAP extensions using RESTful ABAP Programming Model (RAP), event driven patterns, and cloud native architectures.
Develop clean, testable ABAP code that integrates seamlessly with AI services and enterprise APIs.
Agentic & LLM Integration
Implement agentic workflows: tools, planners, memory, orchestration, and evaluation loops integrated with SAP processes.
Integrate LLMs, embeddings, and retrieval pipelines (RAG) with ABAP Cloud services for contextual, grounded responses.
Design prompt templates, grounding strategies, fallback logic, and safety boundaries suitable for enterprise SAP use cases.
Data, Retrieval & Context
Build and integrate retrieval pipelines using SAP and non SAP data sources (business objects, CDS views, documents, events).
Implement chunking, indexing, embeddings, and context assembly to support production grade RAG scenarios.
Ensure factuality, traceability, and explainability in AI driven SAP workflows.
Quality, Safety & Reliability
Implement evaluation frameworks (offline and online) for AI behaviors integrated with SAP processes.
Design guardrails for authorization, data privacy, action boundaries, and error handling.
Build observability into AI enabled SAP applications (telemetry, logging, failure analysis).
Rapid Experimentation & Scale Out
Prototype quickly, demo frequently, and iterate based on business feedback.
Move AI prototypes into enterprise grade SAP production systems with performance, security, and compliance in mind.
Continuously refine AI behavior, prompts, and orchestration strategies.

Primary Skills (AI Native Must Have)
SAP ABAP Cloud (RAP, CDS, OData, clean core principles).
Hands on experience integrating LLMs and AI services into applications.
Experience building RAG pipelines, embeddings, and contextual retrieval.
Strong software engineering fundamentals (design, testing, CI/CD).
Ability to translate business problems into AI enabled SAP solutions.

Secondary / Strongly Beneficial Skills
Experience with SAP BTP, eventing, APIs, and cloud services.
Familiarity with agent frameworks or custom orchestration logic.
Exposure to vector databases, search, or semantic indexing (SAP native or external).
Knowledge of enterprise security, authorization, and compliance patterns.


Value Delivered
Intelligent SAP applications that reason, retrieve, and act, not just automate.
Faster innovation cycles by embedding AI directly into SAP business logic.
Scalable, secure AI powered SAP extensions aligned with clean core principles.
Foundation for autonomous, AI driven enterprise workflows.

Additional Information
A 15 years full time education is required.