Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : SAP Quality Management (QM), Generative AI
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
AI Powered Tech Talent You will design, configure, and enhance SAP Quality Management (QM) processes while leveraging AI assisted development tools and copilots to accelerate configuration, documentation, process analysis, testing, and problem resolution. The role focuses on delivering robust quality processes across the supply chain, integrating pre built AI services when beneficial, and improving productivity through AI enabled assistance—without requiring deep AI model engineering or RAG/agentic development.
Key Responsibilities
QM Functional & Technical Delivery
Configure and enhance SAP QM processes across:
o Inspection Planning & Results Recording
o Quality Notifications & Corrective Actions
o Incoming, In Process, and Final Inspections
o Quality Certificates, Sampling Procedures, and Catalogs
o Integration with Procurement, Production, and Warehouse
Use AI copilots to accelerate creation of functional specifications, streamline configuration validation, and generate comprehensive test cases.
Support end to end delivery across requirements, solution design, configuration, SIT/UAT, deployment, and hypercare.
Integrate QM processes with MM, PP, WM/EWM, PM, SD, and vendor/customer facing systems.
AI Assisted Productivity
Use AI copilots for:
o Rapid requirement summarization
o Impact analysis on inspection types and quality workflows
o Auto generation of documentation (FS/TS/SOPs)
o Faster test case creation for various inspection scenarios
o Pattern detection in quality issues, defects, and notifications
Leverage pre built AI services for:
o Intelligent classification of defects and notifications
o Predictive quality signals (e.g., expected defect rates)
o Automated summarization of quality issues across plants/batches
Apply LLM assisted troubleshooting for quicker resolution of QM configuration or process issues.
Governance, Quality & Collaboration
Ensure all QM processes adhere to organizational quality standards, regulatory requirements, audit controls, and compliance frameworks.
Conduct workshops, solution walkthroughs, and root cause analysis using AI generated insights.
Collaborate with procurement, production, warehouse, engineering, quality labs, and technical integration teams.
Contribute to reusable templates, configuration accelerators, inspection plans, and AI enabled best practices.
Required Skills & Experience
SAP QM Expertise
Hands on experience with SAP QM including inspection types, quality notifications, inspection lots, usage decisions, catalogs, MICs, sample procedures, and control indicators.
Understanding of integration dependencies with MM (incoming inspection), PP (in process/production inspections), WM/EWM, SD, and vendor quality.
Experience with quality reports, certificates, and data analysis of inspection results.
AI Ready Skills
Experience using AI copilots, LLM driven documentation tools, and AI assisted testing/troubleshooting accelerators.
Ability to integrate pre built AI capabilities (not custom model/RAG development) into QM operations where appropriate.
Understanding of responsible AI usage, especially in regulated quality and manufacturing environments.
General Skills
Strong analytical and problem solving skills related to quality processes and defect patterns.
Ability to translate quality and manufacturing requirements into scalable SAP QM configurations.
Clear communication and collaboration skills across business and IT teams.
Continuous learning mindset with comfort adopting AI augmented productivity workflows.
Good to Have
SAP QM Certification.
Exposure to LIMS systems, quality labs, or HACCP/GxP environments.
Knowledge of statistical quality control or manufacturing analytics.
Experience with automated testing tools or workflow automation platforms.
Outcome Expectations
Deliver faster, more accurate SAP QM solutions using AI assisted productivity enhancements.
Improve product quality, defect traceability, and compliance using quality data insights.
Act as a bridge between quality teams, SAP engineering teams, and AI native teams when deeper AI involvement is required.
Additional information
A 15 years full time education is required.
15 years full time education
