Lead System Engineer - Microsoft Azure with Gen AI

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

Languages