Gen AI lead

ITC Infotech · Bangalore

Source and collection record

Last observed by our collector: 9 October 2026 at 4:29 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: PCIIL_0000260772_1

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

Key Responsibilities Skills: Design, develop, and deploy AI-powered applications and automation solutions using Python, Java, andor Node.js. Develop and consume RESTful APIs, integrate enterprise systems, and build scalable backend services. Design and implement microservices-based architectures using modern application development frameworks. Build and deploy cloud-native applications on Microsoft Azure preferred or AWS. Hands-on experience with Docker and container orchestration using Kubernetes AKSEKS. Experience deploying and managing applications using Azure Functions, AWS Lambda, Azure App Services, Azure Virtual Machines VMs, Azure Container Apps, AWS EC2, or equivalent cloud services. Strong understanding of cloud storage services such as Azure Blob Storage, Azure Data Lake, AWS S3, and related storage technologies. Experience implementing CICD pipelines, release automation, and deployment strategies using Azure DevOps, GitHub Actions, Jenkins, or similar DevOps tools. Familiarity with Infrastructure as Code Terraform, Bicep, ARM Templates, or equivalent and cloud resource provisioning. Experience monitoring, troubleshooting, and optimizing cloud-hosted applications for performance, scalability, security, and reliability. Generative AI AI Engineering: Strong understanding of Large Language Models LLMs and Generative AI application development. Hands-on experience with Azure OpenAI, OpenAI APIs, Azure AI Services, or equivalent AI platforms. Experience building AI solutions using Retrieval-Augmented Generation RAG, vector databases, embeddings, semantic search, prompt engineering, and structured data extraction from unstructured sources. Familiarity with AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar AI orchestration frameworks. Experience integrating AI capabilities into enterprise applications using APIs, event-driven architectures, and cloud-native services. The ideal candidate should possess strong analytical and problem-solving skills with the ability to design, develop, deploy, and maintain secure, scalable, and production-ready AI solutions. Excellent communication and collaboration skills are essential to work effectively with cross-functional teams and deliver business-focused cloud and AI solutions.

Collected experience requirement

4-15 years