The Data Engineer/AI Engineer will build the data foundation powering autonomous operations. This role will develop scalable data pipelines, enable knowledge retrieval systems, support AI-powered decision making, and provide analytics driving automation outcomes.
Key Responsibilities
Data Engineering
Build and maintain operational data pipelines.
Develop ETL/ELT solutions.
Ingest data from enterprise operational systems.
Design scalable data models.
AI Data Enablement
Build vector databases and semantic search capabilities.
Develop RAG pipelines.
Create operational knowledge repositories.
Support AI agent context engineering.
Analytics & Insights
Perform root cause analysis.
Create automation outcome dashboards.
Build operational intelligence models.
Develop KPI measurement frameworks.
Data Governance
Ensure data quality and lineage.
Implement data security controls.
Support compliance and audit requirements.
Required Skills
Data Technologies
Python
SQL
Data Modeling
AI Technologies
Vector Databases
LangChain
LangGraph
Knowledge Graphs
Semantic Search
Cloud
AWS Data Services
S3
Glue
Visualization
Power BI
Tableau
Preferred Experience
5+ years data engineering experience
AI/ML project experience
Experience building RAG solutions
Data observability tools
Source: Infosys careers — Read the original posting and apply
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