Lead Engineer - Cloud & AI

Lead Engineer Cloud & AI

Bengaluru, India

Position Summary:

Global Technology - Digital & Innovation team is committed to empowering our business through impactful solutions using Cloud & AI. This team is crucial in building efficient, cutting-edge solutions leveraging AI to bring transformative value to the organization.

We are seeking a "Lead 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:

• Lead 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.

Standard Job Requirements:

• Expertise in Microsoft Azure : 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.
• Expertise in Generative AI : Experience working on full-stack Gen AI solution deployments through rapid-prototyping, MVP to Production grade enterprise solutions both with Commercial, Open-source models, and Generative AI frameworks such as LangChain, LlamaIndex etc., with deeper understanding of Global AI regulations, and AI Governance.
• DevOps & CI/CD : Proven experience in DevOps practices, including setting up and managing CI/CD pipelines using GitHub Actions or Azure DevOps.
• Infrastructure as Code : Hands-on experience with IaC tools such as Terraform, ARM templates, or Bicep.
• AI Integration : Experience in integrating AI/ML models into cloud solutions to enhance business processes and outcomes.
• Strong Engineering with Research Mindset : Ability to approach problems with a research-oriented mindset, exploring new technologies and methods to achieve optimal solutions.
• Value-Centric Approach : Ability to balance timelines and deliverables with a strong focus on delivering value-driven solutions.
• Collaborative & Independent : Excellent team player who can collaborate effectively across teams but is also capable of working independently with minimal supervision.

Education, Experience & Soft skills:

• Minimum bachelor's degree (masters degree preferred) in Computer Science, Information Technology, or related fields.
• At least 7+ years of experience in Cloud & AI, with at least 3+ years on Generative AI, and a total of 10+ yrs experience in IT.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and interpersonal skills to engage with both technical and non-technical stakeholders.
• Proven ability to manage multiple projects and deliverables simultaneously.
• Willingness to learn and adapt to new technologies and frameworks.