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Senior, niche AI/ML platform role at a strong brand reduces applicant density.
Requires specialized ML/AI platform, LLM and cloud expertise, limiting cross-industry transferability.
Explicit 10+ years, mandatory AI/ML, cloud, LLM and platform requirements enforce high filtering.
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Lead architecture, design, and delivery of enterprise-scale AI-powered, cloud-native solutions using Azure and platform engineering principles.
Drive adoption and integration of Generative AI, Agentic AI, AI/ML platforms, and automation organization-wide.
Mentor engineering teams, define technical strategy, and lead cross-functional initiatives including DevSecOps and operational excellence.
Bachelor's degree in Computer Science or related field.
10+ years of software engineering experience with architecture and technical leadership responsibilities.
Deep experience with Azure Public Cloud, Kubernetes, Infrastructure as Code, and CI/CD DevSecOps practices.
Strong proficiency in Python, Java, Spring Boot, microservices, APIs, distributed systems, and AI/ML including Generative AI, LLMs, and RAG frameworks.
Experienced leader capable of influencing architecture decisions across multiple teams and driving complex technical initiatives.
Strong domain expertise in cloud-native architectures and AI/ML platform development, especially in an enterprise environment.
Operates effectively at the intersection of software engineering, AI/ML, cloud infrastructure, and DevSecOps with a focus on scalability, security, and reliability.