- Location
- Bengaluru, India
- Type
- Full-time
- Department
- Engineering
- Education
- Bachelor
- Source
- Workday
Description
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.
Summary of the role:
As an Engineer III - Intelligent Automation, you will support, enhance, and continuously improve SAP-based intelligent automation solutions across Finance, Order-to-Cash, Procure-to-Pay, Direct-to-Consumer, and master-data processes. You will partner with business and technology teams to translate requirements into reliable automation capabilities, monitor agent and workflow performance, resolve production issues, strengthen controls, and improve straight-through processing. This role requires broad SAP techno-functional experience, hands-on knowledge of automation and integration patterns, and the ability to connect business processes, data, controls, and technical solutions to deliver measurable outcomes.
About the Job
- Provide technical production support for SAP intelligent automation & AI solutions covering invoice parking, cash application, sales order automation, credit memo processing, and customer master processes.
- Partner with Finance, Accounts Payable, Accounts Receivable, Sales, Customer Service, Procurement, DTC, and master-data teams to understand requirements, issues, priorities, and expected business outcomes.
- Document current- and future-state processes, business rules, exception scenarios, controls, data mappings, dependencies, acceptance criteria, and functional specifications.
- Assess solution impacts across SAP FICO, Order-to-Cash, Procure-to-Pay, DTC, Fashion, master data, pricing, billing, receivables, payables, logistics, interfaces, and downstream systems.
- Collaborate with SAP ABAP, BTP, AI, workflow, integration, Fiori, and automation teams through design, estimation, testing, release, cutover, and hypercare.
- Monitor agent runs, queues, interfaces, APIs, document processing, business-rule outcomes, exception dashboards, reconciliations, and SAP posting status.
- Troubleshoot failed or delayed automations involving master data, duplicate documents, variances, posting errors, credit checks, authorizations, interfaces, workflows, or agent decision logic.
- Coordinate incident resolution, validate fixes, communicate business impact and recovery status, and complete root-cause analysis and preventive improvements for recurring issues.
- Support unit, integration, regression, user-acceptance, volume, negative-scenario, and production-validation testing with traceability to business requirements.
- Maintain runbooks and operational documentation, and use automation metrics and business feedback to improve reliability, controls, straight-through processing, and measurable value.
About You
- 8–12+ years of progressive SAP experience across implementation, enhancement delivery, integration, intelligent automation, and production support.
- Strong process knowledge across SAP FICO, Order-to-Cash, Procure-to-Pay, Direct-to-Consumer, customer and vendor master data, sales, billing, receivables, payables, and related financial postings.
- Experience supporting SAP automations, workflows, interfaces, APIs, background processes, and exception-management solutions in production.
- Strong understanding of workflow, business rules, robotic process automation, document extraction, AI-assisted decisions, agent orchestration, human-in-the-loop review, and controlled SAP transaction execution.
- Ability to analyze SAP document flow, configuration, master data, application logs, interface payloads, workflow outcomes, and posting errors to isolate root cause.
- Working knowledge of SAP S/4HANA, SAP BTP, SAP Build Process Automation or comparable platforms, SAP Integration Suite, APIs, OData, IDoc, RFC or BAPI, workflow, Fiori, ABAP, and monitoring concepts.
- Experience with business rules, confidence thresholds, validations, exception handling, reprocessing, audit trails, observability, security, segregation of duties, SOX controls, data privacy, and responsible AI.
- Fashion and retail process experience, including SAP AFS or S/4HANA Fashion and its Finance, Sales, Procurement, DTC, logistics, and master-data dependencies, is preferred.
- Strong analytical, requirements-management, stakeholder communication, documentation, testing, and problem-solving skills, with experience working across global onsite and offshore teams.
- Bachelor's degree in Computer Science, Information Technology, Engineering, Business, Finance, or a related field; relevant SAP, automation, agile, or IT service-management certifications are a plus