Job highlights

- The candidate should have successfully delivered production AI solutions that automate data discovery,data lineage analysis,SQL generation,data quality investigations,semantic search,and business insights generation.

- Required skills

We are seeking an experienced AI Engineer to design, develop, and deploy intelligent AI agents that empower Data Engineers, Data Analysts, and Business Users to discover, understand, and interact with enterprise data assets using natural language.

The ideal candidate will possess deep expertise in Data Engineering, Large Language Models (LLMs), Agentic AI frameworks, Retrieval Augmented Generation (RAG), Knowledge Graphs, Metadata Management, and Data Analytics. The candidate should have successfully delivered production AI solutions that automate data discovery, data lineage analysis, SQL generation, data quality investigations, semantic search, and business insights generation.

Responsibilities

- Design and develop AI Agents for Data Engineering and Analytics use cases.

- Build intelligent data copilots that help users:

- Understand datasets and schemas

- Discover data assets

- Generate SQL queries

- Analyze data lineage

- Troubleshoot data quality issues

- Interpret b usiness metrics

- Generate insights and reports

- Develop RAG-based solutions using enterprise metadata, data catalogs, and business glossaries.

- Build multi-agent systems for data discovery, governance, quality, and analytics workflows.

- Integrate AI agents with data platforms, warehouses, and catalog solutions.

- Design semantic search solutions over enterprise data assets.

- Create evaluation frameworks to measure accuracy,



reliability, and trustworthiness of AI responses.

- Collaborate with Data Engineering, Analytics, Governance, and Business teams to identify automation opportunities.

- Implement guardrails, observability, monitoring, and governance controls for AI systems.

- Lead architecture decisions and mentor junior engineers.

Required skills

- Generative AI, Agentic AI, AI Agent Development, Large Language Models (LLMs), OpenAI, Azure OpenAI, Gemini, Claude, LangGraph, LangChain, CrewAI, AutoGen, Model Context Protocol (MCP), Retrieval Augmented Generation (RAG),

- Hybrid Search, Semantic Search, Knowledge Graph RAG, Python, SQL, Data Engineering, Databricks, Snowflake, BigQuery, Spark, Data Warehousing, Data Modeling, Metadata Management, Data Lineage, Data Catalogs, Vector Databases (Pinecone, FAISS, Weaviate), FastAPI, REST APIs, AWS, Azure, GCP.

- Machine Learning, NLP, Knowledge Graphs, Neo4j, Data Governance, Data Quality Frameworks, ETL/ELT Pipelines, Delta Lake, Airflow, dbt, Kafka, CI/CD, Docker, Kubernetes, Azure AI Search, Elasticsearch, Prompt Engineering, AI Evaluation Frameworks, LLM Observability, Human-in-the-Loop Systems, Text-to-SQL, Analytics Engineering,

- Business Intelligence, Power BI, Tableau, Experimentation Frameworks, MLOps, Git, Jenkins, Terraform, Monitoring Logging, Security Responsible AI, Stakeholder Management, Solution Architecture, Agile/Scrum.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Manager (Chennai)
🏢 Latentview
📍 Chennai