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Job Description
Structured overview of role & requirementsAbout This Role
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.
Minimum Requirements
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.
Ideal Candidate Profile
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.