# Lead Platform EngineerOffice in Hyderabad, Bangalore, Pune, Gurgaon, Chennai, CoimbatorePlatform Engineering& othersLead Platform EngineerLead System Engineer - Microsoft Azure with Gen AILead Platform EngineerLead Data ScientistWe are seeking an experienced **Lead Platform Engineer** to join our Automation Engineering team.The ideal candidate will excel in cloud infrastructure automation, generative AI, and machine learning, with a strong foundation in DevOps practices and modern scripting tools. This role involves designing cutting-edge AI-driven solutions for AIOps while innovating cloud automation processes to optimize operational efficiency.Responsibilities* Design and develop automated workflows for cloud infrastructure provisioning using IaC tools like Terraform* Build frameworks to support deployment, configuration, and management across diverse cloud environments* Develop and manage service catalog components, ensuring integration with platforms like Backstage* Implement GenAI models to enhance service catalog functionality and code quality across automation pipelines* Design and implement CI/CD pipelines and maintain CI pipeline code for cloud automation use cases* Write scripts to support cloud deployment orchestration using Python, Bash, or other scripting languages* Design and deploy generative AI models for AIOps applications such as anomaly detection and predictive maintenance* Work with frameworks like LangChain or cloud platforms such as Bedrock, Vertex AI, and Azure AI to deploy RAG workflows* Build and optimize vector databases and document sources using tools like OpenSearch, Amazon Kendra, or equivalent solutions* Prepare and label data for generative AI models, ensuring scalability and integrity* Create agentic workflows using frameworks like Langraph or cloud GenAI platforms such as Bedrock Agents* Integrate generative AI models with operational systems and AIOps platforms for enhanced automation* Evaluate AI model performance and ensure continuous optimization over time* Develop and maintain MLOps pipelines to monitor and mitigate model decay* Collaborate with cross-functional teams to drive innovation and improve cloud automation processes* Research and recommend new tools and best practices to enhance operational efficiencyRequirements* Bachelor's or Master's degree in Computer Science, Engineering, or a related field* 7+ years of experience in cloud infrastructure automation, scripting, and DevOps* Strong proficiency in IaC tools like Terraform, CloudFormation, or similar* Expertise in Python, cloud AI frameworks such as LangChain, and generative AI workflows* Demonstrated background in developing and deploying AI models such as RAG or transformers* Proficiency in building vector databases and document sources using solutions like OpenSearch or Amazon Kendra* Competency in preparing and labeling datasets for AI models and optimizing data inputs* Familiarity with cloud platforms including AWS, Google Cloud, or Azure* Capability to implement MLOps pipelines and monitor AI system performanceNice to have* Knowledge of agentic architectures such as React and flow engineering techniques* Background in using Bedrock Agents or Langraph for workflow creation* Understanding of integrating generative AI into legacy or complex operational systems