Lead System Engineer - Microsoft Azure

We are hiring a Lead Cloud Engineer to design, build, and drive enterprise-scale Microsoft Azure platforms with deeply integrated AI capabilities, including advanced Generative AI and Agentic AI solutions. In this role, you will serve as a technical authority responsible for shaping cloud architecture strategy, leading DevOps and platform engineering transformations, and pioneering the adoption of next-generation AI technologies across the organization. You will collaborate closely with executive stakeholders, engineering teams, and business units to deliver secure, scalable, and resilient systems that power mission-critical workloads and unlock new AI-driven business value. Responsibilities Architect end-to-end cloud and AI solutions on Azure, ensuring alignment with enterprise strategy, compliance standards, and long-term scalability goalsDesign highly scalable, secure, and resilient systems capable of supporting mission-critical workloads across multiple business units and geographiesLead DevOps transformation initiatives and establish modern platform engineering practices that improve developer productivity and operational efficiencyDefine and enforce best practices for CI/CD pipelines, Infrastructure as Code, security controls, and governance frameworks across the engineering organizationDevelop multi-region, high-availability architectures with robust disaster recovery, failover strategies, and performance optimizationSpearhead the adoption of AI-driven solutions across business units by identifying high-impact use cases and guiding implementation from concept to productionDesign and deliver enterprise-grade Generative AI platforms, integrating LLMs, agentic workflows, and retrieval-augmented generation capabilities at scaleDrive AI strategy and adoption by partnering with leadership to define roadmaps, evaluate emerging tools, and align AI investments with business outcomesFoster a culture of innovation through proof-of-concept initiatives, technology evaluations, and the introduction of emerging cloud and AI technologiesCollaborate with stakeholders, architects, and leadership teams to translate complex business requirements into actionable technical designsMentor and guide engineering teams, providing technical leadership, code reviews, and architectural guidance to elevate overall team capabilityOwn the lifecycle of large-scale enterprise systems, including design, deployment, monitoring, optimization, and continuous improvement Requirements 8+ years of progressive experience in cloud engineering, systems architecture, and large-scale platform deliveryAt least 1 year of relevant leadership experienceExpert-level proficiency in Microsoft Azure, including compute, storage, identity, networking, and platform servicesDeep expertise in Kubernetes, Azure Kubernetes Service (AKS), and Docker container orchestration for production workloadsAdvanced knowledge of cloud networking, security architecture, and governance frameworks across enterprise environmentsSkills in large-scale Infrastructure as Code design and implementation using Terraform, Bicep, and ARM templatesBackground in DevOps maturity models, CI/CD pipeline design, and platform engineering practices that enable self-service developer experiencesCompetency in OS administration across Windows and Linux environments, along with proficiency in scripting languages for automationExpertise in Generative AI fundamentals, Agentic AI concepts (multi-agent systems, orchestration), and Agentic Workflows for enterprise use casesUnderstanding of Retrieval-Augmented Generation (RAG) architectures at scale, including vector databases, embeddings, and prompt engineeringHands-on experience with Azure AI Foundry and LLM integrations such as OpenAI and Claude for production-grade applicationsFamiliarity with AI orchestration frameworks, including Semantic Kernel (preferred), LangChain/LangGraph, and CrewAIStrong architecture and leadership skills with a proven track record of owning and evolving large-scale enterprise systems end-to-endProficient communication skills in English (B2 level or higher) We are hiring a Lead Cloud Engineer to design, build, and drive enterprise-scale Microsoft Azure platforms with deeply integrated AI capabilities, including advanced Generative AI and Agentic AI solutions. In this role, you will serve as a technical authority responsible for shaping cloud architecture strategy, leading DevOps and platform engineering transformations, and pioneering the adoption of next-generation AI technologies across the organization. You will collaborate closely with executive stakeholders, engineering teams, and business units to deliver secure, scalable, and resilient systems that power mission-critical workloads and unlock new AI-driven business value. Responsibilities Architect end-to-end cloud and AI solutions on Azure, ensuring alignment with enterprise strategy, compliance standards, and long-term scalability goalsDesign highly