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Tier-1 brand, generalist developer title, and Bangalore location increase applicant competition and density.
Role demands enterprise AI platform, MLOps, and regulated-data experience, making industry-fit and domain experience critical.
Explicit 8+ years, 3+ years leadership, mandatory production ML, cloud, and regulated-environment experience creates strict filters.
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Lead design and implementation of AI-powered enterprise applications, developer tools, platform services, and engineering frameworks to accelerate AI adoption.
Partner across engineering, product, data science, security, and business teams to deliver scalable, secure, and compliant AI solutions.
Mentor engineers, set engineering standards, shape AI strategy, and ensure AI capability integration across the technology landscape.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical field.
8+ years of software engineering experience including enterprise-scale application/platform development.
3+ years experience leading engineering teams or serving as technical lead on large initiatives.
Proven experience deploying AI/ML or Generative AI solutions in production and strong expertise in cloud platforms (AWS, Azure, GCP).
Experienced in architecting distributed, cloud-native, microservices, and event-driven platforms with focus on AI integration.
Skilled in modern programming languages (Java, Python, C#, Go, TypeScript) and modern DevOps practices including CI/CD and Infrastructure as Code.
Strong strategic communicator able to influence cross-functional leadership and drive adoption of AI and engineering best practices in regulated, data-intensive environments.