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Metro Bangalore and broad AI+automation skill requirements create moderate candidate competition.
Role is tightly tied to insurance policy and claims automation, limiting cross-industry transferability.
Role demands senior ML/NLP, MLOps, production-grade automation, and governance expertise, creating strict filters.
Own design and development of complex AI and automation solutions across policy and claims domains, including reusable accelerators and production-grade engineering.
Drive automation strategy through process analysis, prioritization, ROI measurement, and stakeholder alignment on target operating models.
Architect and oversee AI/ML model development, MLOps standards, responsible AI practices, and integration architecture for scalable automation across platforms.
Work Experience Required: Not explicitly mentioned in the JD
Mandatory skills include expertise in AI, RPA, API integration, machine learning / NLP model development, and MLOps.
Experience with scalable automation architectures, API strategy, and production engineering standards (performance, HA/DR, observability) required.
Location/notice period: Not explicitly mentioned in the JD
Experienced senior engineer comfortable leading large-scale AI/automation solutions with cross-domain complexity in insurance workflows.
Strategic thinker capable of aligning technical solutions with business value, risk, and process redesign for automation effectiveness.
Strong collaborator and mentor able to guide teams without bottlenecking, fostering professionalism and continuous improvement culture.