1. Immediate Joiner
2. Experience:-5 + Years

3. PAN India Location

4. Hybrid Mode
5. Design, build, and deploy

Agentic AI / GenAI solutions for enterprise data engineering and analytics use cases.

6. Strong hands-on experience with

Azure AI Foundry and Azure OpenAI is highly preferred.

7. Hands-on experience with

LangChain, Semantic Kernel, or similar Agentic AI frameworks

.

8. Strong understanding and implementation experience of

RAG, vector databases, prompt engineering, and LLM evaluation

.

9. Experience developing multi-agent workflows / agent orchestration for enterprise applications.

10. Build AI agents for data product generation, data onboarding, reconciliation, testing, RCA, analytics, and business Q&A;

.

11. Strong hands-on

Python, PySpark, SQL, Databricks, Delta Lake, and Azure data engineering experience.

12. Experience with
Unity Catalog, Azure Data Factory, ETL/ELT, data modeling, and enterprise data platforms

.

13. Develop AI-assisted capabilities for pipeline generation, schema mapping, metadata discovery, transformation, and documentation

.

14. Hands-on experience automating data quality, unit testing, reconciliation, validation, monitoring, and observability using AI.

15. Experience integrating AI-generated testing and validation into

CI/CD pipelines

.





16. Solid exposure to
Power BI, DAX, semantic models, dashboard generation, and data storytelling is required/preferred.

17. Strong software engineering fundamentals including

REST APIs, microservices, Git/GitHub, CI/CD, and testing frameworks

.

18. Experience implementing
AI guardrails, security, access controls, auditability, prompt management, and Responsible AI

.

19. Understanding of data lineage, metadata management, data quality, and enterprise data governance

.

20. Experience integrating AI solutions with

Databricks, Power BI, Azure Data Factory, Azure AI Foundry, and enterprise data platforms

.

21. Experience with
SAP, Right Angle (RA), Endur, CIRCA, JDE, HFM, or Energy Components is highly desirable.

22. Domain exposure to
Hydrocarbon Inventory, Supply & Trading, Commodity Trading, or Working Capital is an added advantage.

23. Candidates must demonstrate hands-on project implementation

; resumes containing only keyword mentions without project evidence should not be submitted.

24. Preference will be given to candidates who have built production-grade Agentic AI solutions integrated with enterprise data platforms

.

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 Innova ESI
📍 Bengaluru