AI Engineer

AI Engineer
Pan India – Need to visit nearest Wipro office if required
8+Years
Compensation : Best in the market

Role Summary
The AI Engineer will be responsible for designing, building, and deploying AI-powered agents that accelerate the delivery, quality, and adoption of enterprise hydrocarbon inventory data products, analytics, and visualization solutions. This role will partner with Product Owners, Data Engineers, Data Analysts, Solution Architects, and business stakeholders to create agentic workflows that automate data discovery, pipeline development, testing, reconciliation, root-cause analysis, and business insights generation. The role supports Chevron's vision of trusted, governed, AI-ready data and self-service decision support
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Required Technical Skills

AI & Agent Engineering
• Azure AI Foundry
• Azure OpenAI
• Agentic AI frameworks
• LangChain
• Semantic Kernel
• Retrieval Augmented Generation (RAG)
• Vector databases
• Prompt engineering
• LLM evaluation frameworks
• Multi-agent orchestration

Data Engineering
• Python
• PySpark
• SQL
• Databricks
• Delta Lake
• Unity Catalog
• Azure Data Factory
• Data modeling
• ETL/ELT design

Analytics & Visualization
• Power BI
• Data storytelling

Software Engineering
• GitHub
• CI/CD
• REST APIs
• Microservices
• Testing frameworks
• DevOps

Data Governance
• Data lineage
• Metadata management
• Data quality frameworks
• Data Marketplace
• Responsible AI controls

Key Responsibilities

AI Agent Development
• Design and develop AI agents using Azure AI Foundry, Databricks AI/Genie, LangChain, Semantic Kernel, or similar frameworks.
• Build domain-specific agents for:
o Data Product Generation
o Source Data Product Onboarding
o Data Reconciliation
o Unit Test Generation
o Pipeline Root Cause Analysis
o Business Q&A and Inventory Insights
• Create multi-agent workflows that collaborate across data engineering, analytics, and visualization processes

Accelerate Data Engineering Delivery
• Develop AI-assisted pipeline generation capabilities for:
o SAP
o Right Angle (RA)
o Endur
o CIRCA
o HFM
o JDE
o Energy Components
• Automate metadata discovery, schema mapping, transformation generation, and documentation.
• Reduce manual engineering effort through reusable agent frameworks.

Data Quality & Testing Automation
• Build AI agents that automatically generate:
o Unit tests
o Data quality rules
o Reconciliation logic
o Validation scripts
o Monitoring alerts
• Integrate AI-generated testing into CI/CD pipelines.
• Establish AI-driven data observability capabilities.

AI-Powered Analytics & Visualization
• Develop agents that assist analysts in:
o Creating Power BI dashboards
o Generating DAX measures
o Building semantic models
o Producing executive narratives
o Performing inventory variance analysis
• Enable natural language interaction with hydrocarbon inventory data.

Agent Governance & Responsible AI
• Implement guardrails for:
o Data security
o Access controls
o Model governance
o Auditability
o Prompt management
• Ensure alignment with enterprise data governance and AI standards.
• Establish agent performance monitoring and continuous improvement processes.

Solution Architecture & Integration
• Integrate AI capabilities with:
o Azure Databricks
o Unity Catalog
o Azure Data Factory
o Power BI
o Azure AI Foundry
o Commercial Data Foundation platforms
• Design scalable and reusable agent frameworks for enterprise adoption.

Domain Knowledge Preferred
Experience with one or more of:
• Hydrocarbon inventory management
• Supply & Trading
• Working Capital initiatives
• Commodity trading systems
• SAP logistics and finance
• Right Angle
• Endur
• CIRCA
• JDE
• HFM
• Energy Components (EC/PI)

Experience working with large-scale enterprise data platforms and regulated business processes is highly desirable