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Senior, niche agentic-AI MLOps role in Bengaluru reduces applicant density despite metro location.
Specialized agentic AI and MLOps skills moderately transferable but favor platform and regulated-experience candidates.
Mandates deep MLOps, Python, Kubernetes, AWS, MCP and architecture expertise, enabling strict technical filtering.
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Lead technical delivery and architecture alignment for agentic AI and ML-enabled services across multiple squads within CSP.
Own development and operation of shared APIs, Model Context Protocol servers, reusable agents, and agent-to-agent interaction patterns ensuring security, scalability, and reliability.
Drive cross-team technical challenge resolution, mentor senior engineers, and influence product and platform roadmaps with a focus on engineering standards and non-functional requirements.
Strong hands-on experience with MLOps engineering including CI/CD for ML, model lifecycle, and production operations.
Proficiency in Python and secure service engineering including distributed services, authentication, authorization, and observability.
Experience with container and cloud platforms such as Docker, Kubernetes, and AWS.
Work Experience Required: Proven experience as a senior engineer operating across multiple squads or a domain.
Experienced in designing and delivering complex, cross-team AI and ML platform solutions with emphasis on architecture consistency and scalability.
Comfortable influencing technical direction and collaborating with Product, Architecture, and Engineering leadership in a regulated environment.
Demonstrated ability mentoring senior engineers and establishing engineering standards, with exposure to responsible AI adoption and cost-efficient infrastructure management.