Azure AI Engineer

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.
Strong 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 govind.vijayan@tcs.com 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)

Work arrangement
No