SAP -Ai Engineers - Senior Associate

Overview

Design, build, and deploy SAP GenAI and Agentic AI solutions supporting finance technology and core ERP transformation work within PwC's Advisory practice, while mentoring junior team members and building client relationships.

What you'll do

• Design and develop GenAI and Agentic AI solutions for SAP and enterprise use cases with production readiness in mind
• Build RAG-based applications using SAP data, technical documentation, and knowledge repositories
• Create AI accelerators for SAP code analysis, modernization, test generation, data mapping, impact analysis, and knowledge assistants
• Integrate LLM solutions with SAP applications, APIs, services, and enterprise data sources
• Develop graph-based memory, tool-using agents, and context-aware AI components for multi-agent workflows
• Write reusable Python services and APIs that support scalable AI delivery
• Apply cloud-based LLM platforms such as Azure OpenAI and AWS Bedrock to deliver enterprise AI solutions
• Translate SAP functional and technical requirements into AI engineering solutions for finance and ERP transformation use cases
• Implement evaluation methods for accuracy, relevance, groundedness, hallucination mitigation, performance, and reliability
• Apply software engineering practices such as version control, automated testing, CI/CD, observability, security, and maintainability

What you'll need

• At least a Bachelor's degree
• At least 4 to 5 years of experience
• Oral and written proficiency in English

Nice to have

• One or more SAP certifications aligned to SAP Technology and platform solutions, including SAP S/4HANA System Administration, SAP Business Technology Platform (BTP), SAP Integration Suite, SAP Security, or related technical architecture credentials
• Demonstrated SAP GenAI delivery across enterprise transformation workstreams
• Building Agentic AI and RAG solutions using Python and LLM frameworks
• Integrating AI services with SAP applications, APIs, and enterprise data sources
• Applying production monitoring, evaluation, and observability practices for AI solutions
• Mentoring junior team members while navigating client delivery ambiguity