Gen AI Data Scientist - Vector DB & RAG Specialist

Infosys; Dammam; On-site; SAR 180,000 - 300,000; Full time

Job summary

Infosys is seeking a Data Scientist to design and develop Gen AI-powered models and prompt frameworks, and to implement Gen AI analysis across enterprise data. You will collaborate with Data Engineers to access structured and unstructured data, using vector databases for semantic search and contextual retrieval.

You will translate business rules into AI logic, build quality analysis and scoring models, and support go-live validation, performance monitoring, and post-deployment improvements in a

Qualifications

• 4+ years of experience in Data Science / Applied AI
• Prompt engineering and agentic workflows
• Experience with vector databases and RAG-based architecture
• Able to translate business rules and evaluation frameworks into AI logic
• Strong analytical and explainability mindset for stakeholders
• Experience in enterprise assessment, audit, or performance management systems
• Exposure to SAP-integrated AI solutions

Responsibilities

• Design and develop Gen AI-powered models and prompt frameworks
• Implement Gen AI analysis results
• Develop AI logic to identify repeated items across data sources and detect systemic issues
• Build quality analysis and scoring models (0–100%) based on predefined criteria
• Collaborate with Data Engineers to access structured and unstructured assessment data
• Utilize vector databases for semantic search and contextual retrieval
• Refine AI outputs through user query analysis and UAT feedback
• Support go-live validation, performance monitoring, and AI accuracy improvements post-deployment

Skills

Gen AI

Prompt engineering

Vector databases

RAG-based architecture

Business rules translation

Data analysis

Stakeholder communication

Tools

SAP

Job description

Infosys is seeking a Data Scientist to design and develop Gen AI-powered models and prompt frameworks, and to implement Gen AI analysis across enterprise data. You will collaborate with Data Engineers to access structured and unstructured data, using vector databases for semantic search and contextual retrieval.

You will translate business rules into AI logic, build quality analysis and scoring models, and support go-live validation, performance monitoring, and post-deployment improvements in a