About the job

Key Responsibilities:

1. Design and develop enterprise-grade AI applications using Azure OpenAI Service and Azure AI Foundry.
2. Build Copilot-style applications, conversational assistants, intelligent search solutions, and document automation platforms.
3. Design and implement RAG solutions using embeddings, vector search, semantic ranking, hybrid retrieval, grounding, and citations.
4. Develop agentic AI workflows, tool-calling patterns, orchestration logic, and human-in-the-loop controls.
5. Design scalable backend services and microservices using Python, FastAPI or Flask, REST APIs, asynchronous processing, and established software engineering practices.
6. Integrate AI capabilities with web applications, Microsoft Teams, SharePoint, enterprise platforms, ERP systems, databases, and internal APIs.
7. Apply clean architecture, design patterns, automated testing, code quality controls, reusable components, and maintainable documentation.
8. Design and deploy solutions using Azure OpenAI, Azure AI Search, Azure Functions, Azure App Service, Azure Storage, Azure Key Vault, Azure SQL, Cosmos DB, Azure Container Apps, or AKS as appropriate.
9. Implement secure access using Microsoft Entra ID, managed identities, RBAC, private networking, secrets management, and enterprise security controls.
10. Engineer resilient production solutions with monitoring, logging, tracing, exception handling, scalability, availability, and disaster-recovery considerations.
11. Design prompts, system instructions, reusable templates, structured outputs, function calling, and evaluation datasets.
12. Measure and improve answer relevance, groundedness, retrieval quality, latency, token consumption, reliability, and cost.
13. Implement guardrails, content filters, privacy controls, Responsible AI practices, hallucination mitigation, and auditability.
14. Build CI/CD pipelines using Azure DevOps or GitHub, including automated testing, security scanning, release controls, and environment promotion.
15. Containerize applications using Docker and deploy to managed Azure compute or Kubernetes platforms.
16. Monitor production usage, model behavior, application health, security events, and operational costs; lead troubleshooting and root-cause analysis.
17. Lead solution design, technical estimation, architecture reviews, code reviews, engineering standards, and reusable reference patterns.
18. Mentor AI engineers and developers while collaborating with data engineers, data scientists, MLOps engineers, security teams, infrastructure teams, and business stakeholders.
19. Translate business requirements into secure, maintainable, measurable AI products and guide delivery from proof of concept to production.

Skill(s) required

Artificial intelligence Generative AI Tools LLMOps Machine Learning Microsoft Azure MS SQL Server Natural Language Processing (NLP) OpenAI API Python

Earn certifications in these skills

Who can apply

Only those candidates can apply who:

1. have minimum 1 years of experience

2. are from Chennai only

Salary

Probation:

Duration:

Salary during probation:

After probation:

Annual CTC: ₹ 2,50,000 - 3,00,000 /year

Perks

5 days a week

Number of openings

2

About Architanz Technologies Private Limited

At Architanz, we are dedicated to leading the IT industry on a global scale. With a commitment to excellence, we strive to deliver tailored solutions that drive efficiency, productivity, and success. Our team of experts is passionate about pushing the boundaries of technology and delivering exceptional results for our clients. Together, we aim to shape the future of IT services, empowering our clients to thrive in an increasingly digital world.

Activity on Internshala

Hiring since September 2026

1 opportunity posted

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