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Tier-1 brand, Bangalore metro, and broad cloud+AI skillset drive high candidate competition.
Deep cloud, MLOps, and enterprise AI platform expertise makes cross-industry portability moderately constrained.
Explicit 12+ years, 5+ years leadership, and mandated cloud/AI technical skills enforce strict filters.
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Lead architecture and technical strategy for scalable, secure cloud-native, AI-enabled enterprise applications.
Design and operationalize AI/ML solutions including model deployment, monitoring, drift detection, and retraining strategies.
Drive engineering best practices and provide hands-on technical leadership while mentoring engineers and influencing cross-team technical direction.
12+ years of software engineering experience with 5+ years in architecture or technical leadership roles.
Proficiency in Java, Python, or Go and experience with frameworks like ReactJS, Angular, NodeJS.
Strong expertise in OOAD, microservices, distributed systems, API design (REST, JSON/XML), and databases including PostgreSQL, SQL Server, Oracle, and exposure to NoSQL.
In-depth knowledge of AI/ML fundamentals, production deployment patterns, experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), and Generative AI technologies (LLMs, prompt engineering, vector databases, RAG).
Experienced technical leader who has driven cloud-native AI/ML platform architectures and successfully scaled enterprise data and AI workloads.
Strong integrator comfortable collaborating with Product, Security, Infrastructure, Data Science and Business stakeholders at multiple levels including executive.
Skilled in modern engineering best practices including CI/CD, TDD, MLOps/LLMOps, and operating complex AI/ML systems with observability and governance.