TCS Hiring for Azure AI Engineer Experience Range:
- 06 To 10 Years (Mandatory) (Note: Candidates below 6 years of IT experience shall not be considered) JOB

LOCATION:
Anywhere in India Notice Period: 60 days to 90 days

JOB DESCRIPTION
Must Have

Skills:
• Experience in software engineering or AI/ML development, with at least 4+ years working with Azure AI services.
• Solid hands-on experience with Python for backend development, AI pipelines, and LLM integrations.
• Strong hands-on experience with Azure AI Document Intelligence including extraction, forms, OCR, and classification.
• Deep understanding of Azure OpenAI, including GPT models, embeddings, chat completions, prompt engineering, and content safety.
• Practical experience using Azure AI Foundry for building, testing, and operationalizing AI apps.
• Experience building AI solutions in cloud-native Azure environments including: Azure Functions, Azure API Management (APIM), Azure Resource Groups, Azure Storage Accounts, App Insights, Azure App Service, Azure Key Vault
• Hands-on experience making calls to LLM APIs (chat completions, embeddings, model inference endpoints) and integrating them into applications.
• Experience architecting and implementing RAG systems using Azure Cognitive Search or vector index stores.
• Strong programming experience in Python or C# (Node.js acceptable) for backend microservices and integrations.
• Practical experience with Azure services including Logic Apps, Event Grid, Storage, Functions, and automated workflows.
• Solid knowledge of Responsible AI, privacy, compliance, and secure deployment models.
• Strong debugging and optimization skills for AI workloads (cost, latency, throughput).
• Hands-on experience with Azure DevOps, Git repositories, CI/CD pipelines, IaC, and deployment automation.
• Strong analytical, communication, and stakeholder management skills. Desirable Skills / Knowledge /

Experience:




• Experience using vector databases such as Azure Cosmos DB with vector indexing, Redis Enterprise, or Pinecone.
• Familiarity with multi-agent AI architectures, orchestration frameworks, and agentic workflows.
• Exposure to Power Platform AI Builder and low-code AI integrations.
• Understanding of NLP techniques including entity extraction, embeddings, semantic search, text analytics, and conversation design.
• Experience with frameworks like LangChain, Semantic Kernel, or LlamaIndex. Responsibilities or Expectations from the Role:
• Design, develop, and deploy AI solutions using Azure AI Document Intelligence, Azure OpenAI, and Azure AI Foundry.
• Build and operationalize LLM‑based applications, including prompt engineering, context engineering, embeddings, chat completions, and grounding strategies.
• Develop intelligent document processing pipelines using Azure AI Doc Intelligence for document classification, extraction, OCR, and automated workflows.
• Implement RAG architectures using Azure Cognitive Search or vector databases for retrieval grounding, chunking, ranking, and citation‑based responses.
• Integrate LLM and AI capabilities with enterprise systems using REST APIs, Azure Functions, APIM, Logic Apps, or Power Platform.
• Build cloud-native AI services using Azure Functions, Azure Resource Groups, App Services, Storage Accounts, App Insights, and Key Vault.
• Develop and maintain clean, secure, and well-tested Python or C# code following engineering best practices.
• Ensure adherence to security, governance,



and compliance standards including encryption, responsible AI, and regulated-industry policies.
• Monitor AI model performance and system behavior, optimize response quality, troubleshoot issues, and reduce operational bottlenecks.
• Collaborate with stakeholders to identify use cases, define architectures, and deliver measurable AI outcomes.
• Produce solution documents, system diagrams, runbooks, and technical knowledge-base content.
• Stay current with emerging Azure AI ecosystem capabilities, LLM advancements, and enterprise AI tooling. Minimum Qualification: 15 years of Full Time Education Interested candidates kindly share your updated resume to [email protected] along with filling the following details to maximize your chances of getting calls from TCS. The details are as follows: Section 1: Basic Details:
• Candidate Name:
• Email ID:
• Phone Number:
• Current Location (City):
• Preferred Location (City): Section 2: Educational Details:
• Highest Regular Full‑Time Qualification
• (Diploma / Graduation / Post Graduation / Others)
• 10th Completion Year
• 12th / Intermediate Completion Year
• Graduation Completion Year
• Post‑Graduation Completion Year (if applicable) Section 3: Work

Experience:
• Current Company Name
• Total Experience (in years)
• Number of Companies Worked
• Employment Timeline
• (Example: Company A – 2021 to Present, Company B – 2019 to 2021) Section 4: Compensation Details:
• Current CTC (in LPA)
• Expected CTC (in LPA)
• Notice Period
• (Immediate / 15 Days / 30 Days / 60+ Days) Section 5: Documentation & Compliance (Yes / No):
• Valid ID Proof Available (Aadhar & Pan Card): (Yes/No)
• Educational Documents Available: (Yes/No)
• Employment Documents Available: (Yes/No)
• UAN Number Available: (Yes/No)

📌 Azure AI Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru