Job Description

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

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

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Experience Range

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6-12 Years

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Role Summary

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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.

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Key Responsibilities

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

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



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

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

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

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