Porur Chennai Tamil Nadu Azure senior data architect Jobs – 157 Open Jobs Today

Senior Technical Lead
HCLTech —Chennai, Tamil Nadu
- Azure
- Master's degree
- Databases
1h
Hiring for Chennai - Snowflake + SQL (Advanced) - Technical Lead/Technical Specialist
CitiusTech Inc —Chennai, Tamil Nadu
- Azure
- Oracle
- B.Sc
Senior BI Developer
ASSA ABLOY —Chennai, Tamil Nadu
- Microsoft Powerpoint
- Azure
- Computer Science
7d
Looking For Senior Data Engineer
BSRI Solutions —Chennai, Tamil Nadu
- ₹20,00,000 - ₹30,00,000 a year
- Azure
- Java
- SQL
Data Governance Senior Consultant
NTT Ltd —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
Senior Sales Force Scrum Lead
TD Synnex —Chennai, Tamil Nadu
- Full-time
- Remote
- Azure
- Computer Science
- Sales
1d
Principal Data Engineer
Konecranes —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Azure
- SQL
- Agile
Quick apply
9h
Senior AI Architect
Indium Software —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
Senior Architect – AI & ML
Saaki Argus & Averil Consulting —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
Quick apply
Delivery Lead - AI & Data
EXL Service —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- PMP
1h
EY - GDS Consulting - AIA - Gen AI - Senior Manager
EY —Chennai, Tamil Nadu
- Azure
- Doctoral degree
- Computer Science
MDM Solution Architect
Cognizant —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Health insurance
- Life insurance
Senior Principal - Architecture
LTIMindtree —Chennai, Tamil Nadu
- Azure
- Software troubleshooting
- DevOps
Quick apply
EY - GDS Consulting - AIA - AI Architect-Cyber - Senior Manager
EY —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
Senior AI Ops Architect
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- English
- Master's degree
- Health insurance
- Paid time off
Consultant - Azure Integration Services | Senior Developer
Coherent Pixel Systems Pvt Ltd —Chennai, Tamil Nadu
- Full-time
- Remote
- Azure
- DevOps
- APIs
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Manager - Program Management
Altimetrik Corp —Chennai, Tamil Nadu
- Azure
- PMP
- B.Sc
Senior Data Solution Architect
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- DevOps
- Java
- Health insurance
- Paid time off
Senior Engineer II - Software
Microchip Technology —Chennai, Tamil Nadu
- Full-time
- Azure
- DevOps
- Master's degree
Specialist I - Software Engineering
UST —Chennai, Tamil Nadu
- Azure
- Oracle
- DevOps
Quick apply

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Senior Technical Lead

HCLTech -
Chennai, Tamil Nadu

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Job details

1 hour ago

Qualifications

CI/CD
Azure
Go
Node.js
Law
CSS
MCP
React
Kubernetes
Full-stack development
NoSQL
MongoDB
Master's degree
Databases
SQL
AWS
Docker
JavaScript
PostgreSQL
Distributed systems
Continuous integration
Back-end development
REST
APIs
GraphQL
Middleware
AI
TypeScript
Graph databases
Python
Debugging

Full job description

Chennai, Tamil Nadu
Job Summary

We are looking for a highly skilled Full Stack Engineer to join our team and build the core portal for our Agentic AI platform. You will be responsible for designing, developing, and scaling end-to-end applications that leverage generative AI models and multi-agent architectures. This role bridges the gap between sophisticated AI models and user-facing applications, requiring expertise across the frontend, backend, and the critical middleware that orchestrates it all.
If you are passionate about crafting elegant user experiences and converting cutting-edge AI capabilities into production-ready solutions, this role is for you.

Key Responsibilities
Frontend Development: Build responsive, modern web interfaces and dashboards using React, Next, Express, TypeScript, and modern CSS frameworks (like Tailwind). Ensure intuitive user experiences for interacting with and managing AI agents.
Backend Engineering: Develop scalable backend services and APIs using Python, Node.js, or Go. Manage databases (SQL, NoSQL, Vector) to support AI features and optimize data models.
Middleware & API Integration: Design and implement robust middleware to orchestrate complex multi-agent workflows. Build API gateways handling routing, validation, authentication, and rate limiting. Connect AI agents securely with third-party external tools and business systems via REST/GraphQL APIs.
Agentic AI Implementation: Implement and maintain AI agent logic utilizing frameworks such as LangChain, LangGraph, AutoGen, or CrewAI. Architect memory systems (short/long-term), implement tool-calling capabilities, and design ReAct loops for reasoning and action.
DevOps & Observability: Implement CI/CD pipelines (DevOps/MLOps) to deploy and monitor services. Establish comprehensive observability (logging, tracing) to track agent performance, understand behavior in production, and improve reliability.

Collaboration: Work closely with AI engineers, data scientists, product managers, and UI/UX designers to deliver cohesive, end-to-end features

Skill Requirements
5+ years of software engineering experience building scalable, full-stack products.
Frontend Skills: Proficiency in modern JavaScript (ES6+)/TypeScript, React.js, and state management.
Backend & Middleware Skills: Strong experience in Python, Node.js, or similar languages. Deep understanding of API development (REST/GraphQL), distributed systems concepts (concurrency, scaling), and API gateway patterns.
Database Knowledge: Experience with PostgreSQL, MongoDB, or similar, plus familiarity with Vector Databases (e.g., Pinecone, FAISS).
AI/ML Exposure: Proven experience building or deploying LLM-based applications (RAG, prompt engineering, tool integration). Hands-on experience with Agentic AI frameworks (LangChain, LangGraph, etc.).
Infrastructure: Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Problem Solving: Critical thinker with strong algorithmic skills and the ability to debug complex systems across language boundaries

Other Requirements
Experience with Model Context Protocol (MCP) design or implementation.
Background in building evaluation/benchmarking systems for agent workflows.
Familiarity with building knowledge graphs and evaluating LLM outputs.
Experience fine-tuning models or deploying local open-source models.
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