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Multiple Openings: Generative AI, Agentic AI & Cloud Engineering

Exclusive opportunity

Onsite

Multiple Openings: Generative AI, Agentic AI & Cloud Engineering

HCLTech

Multiple Openings: Generative AI, Agentic AI & Cloud Engineering

Skills

Google Cloud PlatformDockerPythonMicroservicesPyTorchTensorFlowAIAWSKubernetesNLP / Natural Language ProcessingMicrosoft Power PlatformTerraformAzure

15 days ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


We are hiring experienced professionals to build and deliver enterprise-grade Generative AI, Agentic AI, NLP, Microsoft Copilot, and cloud-native solutions across Azure, AWS, and Google Cloud Platform .

📍 Locations

Noida | Hyderabad | Chennai | Bengaluru | Pune

💼 Open Positions

  • Generative AI / Agentic AI Developers
  • Generative AI / AI Application Architects
  • AWS Agentic AI Developers
  • Azure AI Developers and Architects
  • GCP AI Developers and Architects
  • GCP Lead Developers
  • Microsoft Copilot & Power Platform Leads
  • Copilot & Claude L3 Specialists
  • NLP Engineers

🔍 Experience

6 to 17+ years , depending on the position.

🛠 Key Skills

  • Generative AI, Agentic AI, LLMs, RAG and multi-agent systems
  • Python, prompt engineering, embeddings and vector databases
  • LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, ADK or equivalent frameworks
  • Azure AI Foundry, Azure OpenAI and Microsoft Foundry
  • Amazon Bedrock, SageMaker, Claude and AWS AI services
  • Vertex AI, Gemini Enterprise Agent Platform and GCP services
  • Microsoft 365 Copilot, Copilot Studio, Power Apps, Power Automate and Dataverse
  • NLP, Hugging Face, SpaCy, NLTK, TensorFlow and PyTorch
  • APIs, microservices, Kubernetes, Docker, Terraform and CI/CD
  • LLMOps, MLOps, observability, Responsible AI, security and governance
  • Cloud-native application development, enterprise integrations and automation

📌 What We’re Looking For

Candidates with hands-on experience in designing, developing, deploying or architecting production-grade AI and cloud solutions. Depending on the role, experience in AI agents, enterprise copilots, RAG pipelines, autonomous workflows, application modernization, AI platform administration, technical leadership or L3 support will be preferred

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