INTL-India- Lead Cloud and AI Engineer

Job Description A fortune 100 organization is seeking a Lead Cloud and AI Engineer that will start remote but eventually sit hybrid onsite in Bengaluru India for a contract to hire position. We are seeking a Lead Cloud and AI Engineer to drive the development through deployment of cutting-edge cloud-native AI solutions. This role requires a combination of technical expertise in creating Generative AI, RAG and prompt based engineering models that are deployed onto Microsoft Azure. The ideal candidate is a collaborative team player who thrives in both research-oriented problem solving and timeline-driven execution. The individual comes with a proven background on deploying Generative AI workloads (LLM's, LVM's, TTS, Speech to Text etc.) cloud native, with "Security by design" using Commercial (for ex: Azure OpenAI), or Open-source (for ex: Llama, Mistral etc.) models. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Bachelor's degree (Masters Degree preferred) in Computer Science, Information Technology, or related fields 7+ years of experience in AI and ML Engineering 3+ years on Generative AI 10+ years of total experience in IT Familiarity with deploying to the cloud (preferably Azure) Understanding of Azure services, including but not limited to Azure Virtual Machines, Azure Container Apps Environment, Azure Machine Learning, Azure Functions, and Azure Cognitive Services. Experience working with Generative AI frameworks such as LangChain, LlamaIndex etc., with deeper understanding of Global AI regulations, and AI Governance. Proven experience in DevOps practices, including setting up and managing CI/CD pipelines using GitHub Actions or Azure DevOps. Hands-on experience with IaC tools such as Terraform, ARM templates, or Bicep. Proven experience in DevOps practices, including setting up and managing CI/CD pipelines using GitHub Actions or Azure DevOps Masters Degree