AI Cloud Engineer

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 (LLMs, LVMs, 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.