TCS is conducting a walkin drive on 22nd August in Chennai location. Apply if you are available for the drive

Things to carry-Govt ID(Adar/Pan card)

Experience Range

6-12 Years

Role Summary

Design and build AI-enabled workplace applications, agents, copilots, automation workflows, dashboards, and integration services. The role combines front-end, back-end, API, cloud, data, and AI engineering to create production-grade digital workplace capabilities.

Key Responsibilities

- Develop full-stack AI applications using modern front-end frameworks, APIs, cloud services, databases, and AI orchestration layers.
- Build workplace copilots, agentic workflows, RAG-based assistants, automation agents, telemetry dashboards, and self-heal integrations.
- Integrate with Microsoft Graph, Intune, Entra ID, Teams, ServiceNow/ITSM, DEX tools, knowledge repositories, and enterprise data sources.
- Implement secure authentication, authorization, observability, prompt management, evaluation, safety guardrails, and responsible AI controls.
- Create reusable components, APIs, microservices, cloud functions, CI/CD pipelines, and automated tests.
- Collaborate with architects, data stewards, UX, product owners, and platform engineers to convert DWP use cases into scalable solutions.
- Support PoC-to-production transition, performance tuning, reliability engineering, and production support handover.

Required Skills and Competencies

- React/Angular/Vue, Node.js/Python/.NET/Java, REST APIs, microservices, databases,



cloud-native development, and DevOps
- Azure AI Foundry/OpenAI, language models, RAG, vector stores, prompt engineering, AI evaluation, and agent orchestration
- Microsoft Graph, M365, Intune, Entra ID, Teams apps, Bot Framework, Power Platform, or comparable enterprise workplace APIs
- Security, identity, secrets management, monitoring, logging, testing, and production-grade engineering practices
- Agile delivery, product thinking, rapid prototyping, and solid debugging capability

Preferred Certifications / Credentials

- Azure AI Engineer Associate
- Azure Developer Associate
- GitHub / DevOps certifications preferred
- Microsoft 365 Developer credentials desirable

Success Measures / KPIs

- Feature delivery velocity
- Production reliability and defect leakage
- AI response quality and evaluation score
- Reusable component adoption
- Business value from automated use cases

Interview Focus Areas

- Ability to explain a real enterprise transformation scenario and its measurable business value.
- Depth of architecture/design thinking and ability to manage trade-offs across security, experience, operations, cost, and scalability.
- Hands-on understanding of relevant platforms/tools, integration patterns, data flows, and governance controls.
- Communication style for CXO, customer, delivery, and engineering audiences.
- Evidence of reusable assets, demos, accelerators, governance playbooks, or delivery enablement created in previous roles.

📌 AI Full Stack Developer (Chennai)
🏢 Tata Consultancy Services
📍 Chennai