Job Title

Senior AI Engineer – Enterprise Data Management (Offshore)

Location: Dindigul, Tamil Nadu, India (Onsite)

Company: Dhanam Cloud Computing Pvt. Ltd.

About the Role

Dhanam Cloud Computing is building next-generation AI-powered Enterprise Data Management solutions for global customers. We are looking for a highly motivated AI Engineer who combines strong software engineering skills with deep expertise in cloud platforms and enterprise data management.

This role is part of our Offshore Research & Development Lab in Dindigul, where you will design, develop, and build reusable AI frameworks, accelerators, and intelligent agents that can be leveraged across multiple customer engagements and internal products.

This is a hands-on engineering role focused on innovation, product development, and applied AI.

Key Responsibilities

Design and develop AI-powered enterprise applications and reusable frameworks.

Build intelligent AI agents using modern LLM technologies and agentic AI frameworks.

Develop enterprise-grade solutions for:

Data Integration

Data Quality

Master Data Management (MDM)

Data Governance

Metadata Management

Data Catalog

Data Observability

Create AI accelerators that automate data engineering and governance tasks.

Develop cloud-native applications on AWS.

Build REST APIs, microservices, and scalable backend services.

Integrate AI models with enterprise data platforms.

Build Retrieval-Augmented Generation (RAG) applications using enterprise knowledge.

Fine-tune prompts and implement prompt engineering best practices.

Develop reusable components for internal AI platforms.

Work closely with architects and customer-facing consultants to convert business problems into AI solutions.

Research emerging AI technologies and rapidly prototype new capabilities.





Contribute to product innovation for Dhanam Cloud's AI initiatives.

Required Technical SkillsArtificial Intelligence

Large Language Models (OpenAI, Anthropic, Gemini, Llama, etc.)

Prompt Engineering

RAG Architecture

AI Agents / Agentic AI

MCP (Model Context Protocol)

Function Calling

Vector Databases

Embeddings

Semantic Search

AI Workflow Automation

Programming

Python (Expert)

SQL

REST APIs

FastAPI / Flask

JavaScript or TypeScript (preferred)

Cloud Technologies

Strong hands-on experience in AWS including:

Lambda

API Gateway

ECS/EKS

EC2

S3

IAM

CloudWatch

Bedrock

Step Functions

EventBridge

DynamoDB

RDS

Secrets Manager

Knowledge of Azure or GCP is a plus.

Enterprise Data Management

Hands-on experience in one or more of the following:

Informatica Intelligent Data Management Cloud (IDMC)

Informatica CDI

CAI

CDQ

Cloud Data Governance & Catalog (CDGC)

MDM / Customer 360

Data Governance

Metadata Management

Reference Data Management

Enterprise Data Catalog

Data Lineage

Data Quality

Modern Data Platforms

Experience with

Databricks

Apache Spark

Delta Lake

Snowflake

Microsoft Fabric (preferred)

Databases

PostgreSQL

SQL Server

Oracle

MySQL

MongoDB

Vector databases (Pinecone, Weaviate, Chroma, Milvus, FAISS)

DevOps

Git

GitHub

Docker

Kubernetes (preferred)

CI/CD pipelines

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence,



Data Science, or a related field.

5–10 years of software engineering experience.

Minimum 2 years of hands-on experience building AI applications using LLMs.

Experience with enterprise data management platforms is highly preferred.

Experience delivering cloud-native enterprise applications.

What We're Looking For The ideal candidate is someone who:

Thinks like a product engineer rather than a project developer.

Enjoys solving complex enterprise data problems.

Can build reusable frameworks instead of one-off solutions.

Learns new AI technologies quickly.

Has strong analytical and problem-solving skills.

Writes clean, maintainable, production-quality code.

Takes ownership from concept to deployment.

Has excellent communication and collaboration skills.

Nice to Have

Informatica certifications

Databricks certifications

AWS Certifications

Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or similar frameworks

Knowledge of GraphRAG and Knowledge Graphs

Experience building enterprise copilots

Experience with multi-agent systems

Understanding of healthcare, financial services, or manufacturing data domains

Why Join Dhanam Cloud?

At Dhanam Cloud, you won't just build software—you'll build the future of Enterprise AI.

You'll work on cutting-edge initiatives involving:

AI-powered Enterprise Data Management

Intelligent Data Governance

Autonomous Data Quality

Enterprise AI Agents

Healthcare AI Platforms

Cloud-native Enterprise Solutions

Product Innovation and Research

This role offers the chance to shape reusable intellectual property, influence product strategy, and work on technologies that will be deployed across global customer engagements.

📌 AI Engineer (Dindigul)
🏢 Dhanam Cloud Computing Private
📍 Dindigul