Insight Global
Website:
insightglobal.com
Job details:
Pay; 20-28 Lakhs per annum
Required Skills & Experience
- Be able to join within 45 days of offer
- Bachelor's degree (Masters Degree preferred) in Computer Science, Information Technology, or related fields
- 5+ years of experience in Cloud & AI
- 2+ years on Generative AI,
- Experience in integrating AI/ML models into cloud solutions
- Deep 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
- Hands-on experience with IaC tools such as Terraform, ARM templates, or Bicep
Nice to Have Skills & Experience
Proven experience in DevOps practices, including setting up and managing CI/CD pipelines using GitHub Actions or Azure DevOps
Job Description
A fortune 100 organization is seeking a Senior Cloud and AI Engineer that will sit onsite in Bengaluru India for a contract to hire position. We are seeking a "Senior Engineer – Cloud & AI" to drive the development through deployment of cutting-edge cloud-native AI solutions. This role requires a combination of deep technical expertise in Microsoft Azure, strong DevOps and CI/CD practices, and an engineering mindset focused on delivering impactful and value-centric solutions. 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.
Key Responsibilities:
• Drive the design, development, and deployment of cloud-native Generative AI solutions on Microsoft Azure.
• Implement and maintain DevOps best practices, including CI/CD pipelines, Infrastructure as Code (IaC), and version control using GitHub or Azure DevOps.
• Collaborate with data scientists, AI/ML teams, and business stakeholders to deploy and optimize AI models within cloud-native architectures, ensuring seamless integration and performance at scale.
• Drive cloud architecture decisions in partnership with Enterprise Architecture, TechOps, and Cybersecurity functions, ensuring scalability, security, and cost efficiency
• Build and manage CI/CD pipelines to streamline the deployment process and ensure rapid delivery of high-quality applications.
• Advocate and implement Infrastructure as Code (IaC) to automate infrastructure provisioning, ensuring consistency across environments.
• Collaborate closely with cross-functional teams, promoting a culture of teamwork and innovation.
• Provide technical leadership, mentoring team members, and fostering a continuous learning environment.
• Stay up to date with the latest trends in Azure services, AI technologies, and DevOps practices to recommend innovative solutions.
Click on Apply to know more.