Lead Analyst- SAP Retail & Supply Chain, Agentic AI
Quick Summary
Job Location: Bengaluru, India Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger.
Job Location: Bengaluru, India
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.
We are seeking an SAP Lead to design, build, and deploy autonomous AI agents that enhance and automate SAP Retail or SAP MM Supply Chain processes. This role focuses on developing intelligent agents that monitor SAP transactions, detect anomalies, generate insights, and execute automated actions through integration with SAP and related enterprise systems. You will report to Director, Global ERP Delivery - India.
The ideal candidate brings hands-on SAP Retail experience and strong technical aptitude, with experience or interest in Python, automation, and AI-driven workflows. Agentic AI development is the primary responsibility, with SAP Retail expertise providing business and system context.
This is an individual contributor role focused on hands-on development of AI agents, working closely with SAP functional, integration, and engineering teams.
About the Role
~1 min readDesign, develop, and deploy autonomous AI agents that monitor and interact with SAP Retail or SAP MM and Supply Chain systems.
Build agents capable of:
Monitoring inventory, allocation, and sales transactions
Detecting operational anomalies and integration failures
Generating insights and executing automated corrective actions
Develop agent workflows using:
Python and automation frameworks
Agent orchestration frameworks (LangChain, CrewAI, AutoGen, LangGraph, or equivalent)
API integrations and event-driven architectures
Integrate AI agents with SAP and enterprise systems using:
BAPIs, Function Modules, and OData services
IDOCs (e.g., WPUUMS, WPUBON, MATMAS, ARTMAS)
SAP S/4HANA Retail or ECC Retail environments
Integration with SAP CAR, POS, eCommerce, OMS, and WMS systems
Apply SAP Retail expertise to enable intelligent automation across core retail processes:
Article Master (Single, Generic, Variants)
Merchandise hierarchy, assortments, listing, and delisting
Goods movements, stock transfers, and adjustments
Inventory visibility across distribution centers and stores
Allocation runs and store replenishment
Site-to-site and DC-to-store transfers
Site master data and organizational structure
Retail pricing procedures, promotions, and markdowns
Develop automated solutions to detect and address:
Inventory discrepancies
Allocation and replenishment issues
Integration and transaction failures
Order fulfillment inconsistencies
7+ years of SAP Retail or SAP MM experience
Hands-on experience in at least two of the following:
Merchandise Management
Inventory Management
Allocation and Replenishment
Retail pricing
Site and organizational structure
Experience with:
SAP Retail master data (Article, Site, Assortments, Merchandise hierarchy)
SAP integrations using IDOCs, BAPIs, and APIs
SAP S/4HANA Retail and/or SAP CAR
Retail integrations involving POS, eCommerce, OMS, or WMS systems
Experience with Python, scripting, or automation tools (or strong willingness to learn)
Experience integrating enterprise systems using APIs or middleware
Strong analytical and problem-solving skills
Ability to work with structured transactional data
Strong interest in AI, intelligent automation, and autonomous systems
Nice to Have
~1 min readApparel or fashion retail industry experience
Omnichannel retail environments
What We Offer
~1 min readWe put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered.
Here's a small snapshot:
Location & Eligibility
About this job
- Posted
- Today
Listing Details
- Posted
- October 21, 2026
- First seen
- October 21, 2026
- Last seen
- October 21, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- October 21, 2026
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