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Lead System Engineer - Microsoft Azure with Gen AI

Office in India: Pune
Microsoft Azure& 9 others
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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 goals
  • Design highly scalable, secure, and resilient systems capable of supporting mission-critical workloads across multiple business units and geographies
  • Lead DevOps transformation initiatives and establish modern platform engineering practices that improve developer productivity and operational efficiency
  • Define and enforce best practices for CI/CD pipelines, Infrastructure as Code, security controls, and governance frameworks across the engineering organization
  • Develop multi-region, high-availability architectures with robust disaster recovery, failover strategies, and performance optimization
  • Spearhead the adoption of AI-driven solutions across business units by identifying high-impact use cases and guiding implementation from concept to production
  • Design and deliver enterprise-grade Generative AI platforms, integrating LLMs, agentic workflows, and retrieval-augmented generation capabilities at scale
  • Drive AI strategy and adoption by partnering with leadership to define roadmaps, evaluate emerging tools, and align AI investments with business outcomes
  • Foster a culture of innovation through proof-of-concept initiatives, technology evaluations, and the introduction of emerging cloud and AI technologies
  • Collaborate with stakeholders, architects, and leadership teams to translate complex business requirements into actionable technical designs
  • Mentor and guide engineering teams, providing technical leadership, code reviews, and architectural guidance to elevate overall team capability
  • Own 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 delivery
  • At least 1 year of relevant leadership experience
  • Expert-level proficiency in Microsoft Azure, including compute, storage, identity, networking, and platform services
  • Deep expertise in Kubernetes, Azure Kubernetes Service (AKS), and Docker container orchestration for production workloads
  • Advanced knowledge of cloud networking, security architecture, and governance frameworks across enterprise environments
  • Skills in large-scale Infrastructure as Code design and implementation using Terraform, Bicep, and ARM templates
  • Background in DevOps maturity models, CI/CD pipeline design, and platform engineering practices that enable self-service developer experiences
  • Competency in OS administration across Windows and Linux environments, along with proficiency in scripting languages for automation
  • Expertise in Generative AI fundamentals, Agentic AI concepts (multi-agent systems, orchestration), and Agentic Workflows for enterprise use cases
  • Understanding of Retrieval-Augmented Generation (RAG) architectures at scale, including vector databases, embeddings, and prompt engineering
  • Hands-on experience with Azure AI Foundry and LLM integrations such as OpenAI and Claude for production-grade applications
  • Familiarity with AI orchestration frameworks, including Semantic Kernel (preferred), LangChain/LangGraph, and CrewAI
  • Strong architecture and leadership skills with a proven track record of owning and evolving large-scale enterprise systems end-to-end
  • Proficient communication skills in English (B2 level or higher)