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Tier-1 brand, metro Bangalore location, and broad cloud+AI skillset increase candidate competition.
Enterprise cloud architecture and MLOps leadership skills are highly domain-specific and less transferable across industries.
Explicit 12+ years, 5+ architecture leadership, and mandatory cloud/AI technical requirements make screening highly strict.
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Lead architecture and technical roadmap for data-intensive, AI/ML-enabled cloud-native enterprise applications.
Own platform scalability, reliability, operations, and engineering best practices including CI/CD and MLOps/LLMOps.
Provide hands-on technical leadership, conduct architecture reviews, manage technology selection, and mentor engineers across teams.
12+ years of software engineering experience.
5+ years in architecture or technical leadership roles.
Expertise in Java, Python, or Go; experience with frameworks like ReactJS, Angular, NodeJS.
Strong knowledge of microservices, APIs, REST, SQL/NoSQL databases, Linux/Unix, AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), and Generative AI concepts including LLMs and RAG architectures.
Experienced in designing scalable, secure cloud-native solutions for AI/ML workloads and enterprise applications.
Skilled in operationalizing AI/ML models including deployment, monitoring, and governance with focus on MLOps/LLMOps.
Capable of influencing technical strategy across cross-functional teams and effectively communicating architecture to leadership.