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

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.
- Robust 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