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YOUR PASSION FOR EXCELLENCE STARTS HERE

1. AI & Automation Solution Development - 40%
Own solution design for complex, cross-system automation programs spanning policy and claims domains
Establish patterns and reference architectures for RPA + API + AI implementations (resiliency, observability, scalability, governance)
Lead development of reusable accelerators for insurance workflows (intake, triage, endorsements, payments, document intelligence) and drive adoption
Define non-functional requirements and ensure production-grade engineering: performance, HA/DR considerations, maintainability, and operational supportability
Guide technical tradeoffs across RPA vs. workflow engines vs. microservices to minimize brittleness and improve long-term scalability

2. Process Analysis & Automation Strategy - 20%
Drive automation roadmaps with stakeholders: prioritize pipeline based on value, feasibility, risk, and strategic fit
Establish ROI measurement methodologies and advantages tracking; ensure realized value aligns with business cases




Lead discovery for ambiguous problem spaces; align stakeholders on target state, operating model, and change impacts
Influence process standardization and redesign to maximize automation leverage (not just “lift and shift”)

3. AI/ML Model Development, MLOps & Responsible AI - 30%
Architect and oversee ML/NLP solutions for classification, extraction, and fraud/anomaly detection; ensure appropriate evaluation and validation rigor
Define MLOps standards (deployment, monitoring, drift detection, retraining triggers, model governance) and operational ownership
Ensure responsible AI practices: bias considerations, explainability where required, auditability, and model risk controls
Integration & Automation Orchestration
Lead integration architecture across core platforms and enterprise services; define API strategies, event models, and data contracts
Ensure scalability for high-volume automation (

📌 Senior Engineer, AI Tech Services, India (Bengaluru)
🏢 ReSource Pro
📍 Bengaluru