SAP GenAI & Agentic AI Engineer

PwC; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

PwC in Hyderabad, India seeks a SAP GenAI & Agentic AI Engineer with extensive GenAI experience to design and deliver enterprise AI accelerators for SAP. You will work across SAP data, APIs, and documentation to build scalable, production‑grade AI services.

The role requires hands‑on expertise in GenAI, agent frameworks, RAG, and Python, with strong collaboration across SAP teams and cloud platforms. Join a leading professional services AI initiative.

Qualifications

• 4–7 years of overall software engineering, SAP, or AI/ML experience.

Responsibilities

• Design, develop, and deploy GenAI and Agentic AI solutions for SAP and enterprise use cases.
• Build and scale RAG-based solutions using SAP data, docs, and knowledge repositories.
• Develop AI-powered accelerators for SAP use cases such as code analysis, modernization, and documentation.
• Integrate LLM solutions with SAP applications, APIs, and data sources.

Skills

GenAI

Agentic AI

Python

RAG

LLMs

SAP experience

Multi-agent systems

Git & CI/CD

Tools

LangGraph

LangChain

AutoGen

Azure OpenAI

SAP APIs/OData

Job description

SAP GenAI & Agentic AI Engineer

Job Description and Summary

We are seeking a passionate and skilled SAP GenAI & Agentic AI Engineer with 47 years of overall experience, including hands‑on experience working with SAP environments and a minimum of 2 years in Generative AI (GenAI).

The ideal candidate will combine an understanding of SAP applications, data, integrations, and technical landscapes with strong hands‑on expertise in Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Python, and modern AI engineering frameworks.

The AI Engineer will play a key role in designing, building, and deploying enterprise‑grade AI solutions and accelerators that address SAP transformation and delivery use cases.

Responsibilities

• Design, develop, and deploy GenAI and Agentic AI solutions for SAP and enterprise use cases, with a strong focus on production readiness.
• Build and scale RAG‑based solutions using SAP and enterprise data, documentation, technical artifacts, and knowledge repositories.
• Develop AI‑powered accelerators supporting SAP use cases such as:
• SAP custom code analysis and modernization
• Functional and technical specification analysis
• SAP configuration and documentation analysis
• Code generation, review, and validation
• Test case generation and automation
• Data mapping and data validation
• SAP API and integration recommendations
• Impact analysis and knowledge assistants
• Integrate LLM solutions with SAP applications, APIs, services, and enterprise data sources.
• Build and integrate graph‑based memory, tool‑using agents, and context‑aware AI solutions.
• Implement multi‑agent orchestration and reasoning workflows using frameworks such as LangGraph, AutoGen, LangChain, or custom agent frameworks.
• Develop clean, efficient, reusable, and scalable Python‑based AI services and APIs.
• Work with cloud‑based LLM platforms such as Azure OpenAI, AWS Bedrock, or equivalent enterprise AI platforms.
• Collaborate with SAP functional, technical, data, integration, and business teams to translate business requirements into scalable AI‑powered solutions.
• Implement evaluation frameworks to measure accuracy, relevance, groundedness, hallucination, performance, and reliability of AI solutions.
• Apply strong software engineering practices covering version control, automated testing, CI/CD, observability, security, and maintainability.
• Support deployment and operation of AI solutions in enterprise production environments.

Required Qualifications

• 4–7 years of overall experience in software engineering, SAP technology, AI/ML, or related technology areas.
• Minimum 2 years of hands‑on experience building and deploying GenAI solutions.
• Prior experience working within SAP environments or on SAP transformation/implementation programs.
• Understanding of the SAP ecosystem, SAP business applications, data structures, APIs, integrations, and technical artifacts.
• Hands‑on experience working with LLMs such as OpenAI GPT models, Claude, Gemini, or equivalent models.
• Strong hands‑on knowledge of RAG architectures and Agentic AI frameworks such as LangGraph, LangChain, AutoGen, or equivalent frameworks.
• Strong proficiency in Python.
• Experience building APIs, microservices, containers, and cloud‑native applications.
• Experience with vector databases, embeddings, semantic search, and enterprise knowledge retrieval.
• Experience with tool calling, agent orchestration, graph‑based memory, or memory‑augmented AI architectures.
• Understanding of prompt engineering, context management, grounding, and hallucination mitigation.
• Solid understanding of software engineering practices including Git/version control, testing, CI/CD, and code quality.
• Ability to work effectively with SAP technical and functional teams and translate SAP requirements into AI engineering solutions.

Preferred Qualifications

• Hands‑on experience with one or more SAP technologies such as ABAP, CDS, RAP, SAP BTP, SAP Integration Suite, SAP APIs/OData, or SAP HANA.
• Experience building AI solutions or accelerators specifically for SAP use cases.
• Understanding of SAP S/4HANA transformation and Clean Core principles.
• Experience integrating AI solutions with SAP BTP or SAP S/4HANA.
• Experience with Azure OpenAI, AWS Bedrock, or other enterprise LLM platforms.
• Experience with tool‑using agents, multi‑agent systems, memory‑augmented architectures, or cognitive architectures.
• Experience with LLM evaluation, optimization, observability, and production monitoring.
• Prior contributions to open‑source GenAI or agent frameworks are advantageous.
• Experience deploying and maintaining AI systems at enterprise scale.

Mandatory Skill Sets

• Generative AI (GenAI)
• Agentic AI
• Python
• RAG and LLM application development
• SAP experience/background