- 1. Gen AI Solution Development
Develop
Gen AI use cases across procurement:
Contract summarization and clause extraction
RFx (RFP/RFQ) document generation
Supplier risk insights and evaluation
Spend classification and query-based analytics
Build and enhance
procurement copilots and chatbots for business users
• 2. LLM & RAG Implementation
Design and implement RAG pipelines using procurement documents and enterprise datasets
Work with LLM ecosystems:
Azure OpenAI, OpenAI APIs, Vertex AI, AWS Bedrock
Apply prompt engineering and embeddings for domain-specific optimization
• 3. Data Integration
Integrate data from:
ERP systems (SAP, Oracle)
Procurement platforms (Ariba, Coupa, Sirion)
Process structured/unstructured data (contracts, invoices, vendor data)
• 4. Model Optimization & Evaluation
Fine-tune and evaluate models for procurement-specific scenarios
Improve response quality, reduce hallucinations, and ensure accuracy
Implement feedback loops for continuous improvements
• 5. Deployment & Engineering
Develop APIs and microservices for AI integration
Deploy scalable solutions on cloud platforms (Azure, AWS, GCP)
Work with vector databases (FAISS, Pinecone, Weaviate)
• 6. Collaboration & Innovation
Work closely with procurement stakeholders and product teams
Translate business requirements into AI-driven solutions
Contribute to POCs, innovation initiatives, and roadmap planning
