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Tier-1 brand and metro location but senior, specialized role reduces applicant competition.
Deep cloud, distributed-systems, and MLOps expertise creates high domain specificity and limited cross-industry transferability.
Explicit 12+ years, 5+ years leadership, and mandatory cloud, AI/ML, and architecture skills enforce strict filtering.
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Lead architecture, engineering, and operational excellence of cloud-native, data-intensive AI/ML enterprise applications.
Own technical strategy, platform scalability, reliability, cloud operations, and engineering practices including CI/CD and MLOps/LLMOps.
Drive design and operationalization of AI/ML solutions including Generative AI use cases and mentor engineering teams across cross-functional stakeholders.
12+ years software engineering experience; 5+ years in architecture or technical leadership roles.
Expertise in Java, Python, or Go; frameworks like ReactJS, Angular, NodeJS; strong OOAD, microservices, distributed systems, API design experience.
Hands-on AI/ML knowledge with frameworks such as TensorFlow, PyTorch, Scikit-learn and experience with Generative AI, LLMs, prompt engineering, embeddings, RAG architectures.
Work Model: Hybrid with requirement to work approx. 2 days/week from HPE office in India.
Experienced leader capable of owning end-to-end technical roadmaps for complex AI/ML cloud-native applications and platforms.
Able to lead architecture reviews and technical governance while integrating AI/ML and Generative AI technologies into production systems.
Comfortable working cross-functionally with product, security, infrastructure, data science teams, demonstrating strategic technical influence.