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.

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.

REQUIRED SKILLS AND EXPERIENCE :

- 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