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Strong Tier-1 brand but senior specialized role reduces applicant density.
Technical cloud, .NET, and AI skills are broadly transferable, with moderate healthcare compliance relevance.
Explicit 15+ years and mandatory Azure, .NET, AI/ML, and architecture requirements increase filtering.
Lead engineering team to design, develop, and deliver business-critical cloud-native solutions using Microsoft Azure, .NET, Angular, and AI/ML technologies.
Architect and implement enterprise AI initiatives including Generative AI, Retrieval-Augmented Generation (RAG), and AI orchestration frameworks (LangChain, LangGraph).
Drive DevOps maturity and AI-assisted SDLC adoption to ensure scalable, secure, and high-performing applications.
15+ years of software engineering experience with expertise in Microsoft Azure, .NET, Angular, and AI/ML technologies.
Undergraduate degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
Experience leading engineering teams and delivering enterprise-scale cloud and AI solutions.
Experience working in Agile/Scrum environments focused on continuous improvement and engineering best practices.
Experienced leader capable of translating business requirements into technical solutions and mentoring software engineers at scale.
Strong background in cloud-native architecture, microservices, AI-driven enterprise application design, and modern DevOps practices.
Proven expertise applying advanced AI/ML techniques including Generative AI, LLMs, Prompt Engineering, and RAG within enterprise contexts.