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About the Company
Job Title: IT-Architect-Solution (Principal)
Location: Remote or ODC
About the Role
The SAS Fraud management system design engineer will require to manage design and Architecture various SAS Fraud Management Features including Fraud Rule, Workflow and UI configurations and other tuning and enhancements aspects. The candidate must be able to assist and play leading roles in production rollout. Manage handovers to other build and testing teams. The candidate would have proven experience of design and Architecture aspect of fraud management solutions for Tier 1 and 2 banks. This is a hands-on role, and the successful candidate would be expected to assist the project team during the life cycle of the projects and other agile/BAU work.
Responsibilities
Qualifications
Required Skills
Preferred Skills
Pay range and compensation package
Budget: 45 LPA
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.
Job ID: 153378331
Skills:
Scalability, integration design, pre-sales solutioning, auditability tradeoffs, multi-agent orchestration, AI-native architecture, GPU modeling, agentic systems design, runtime observability, operational telemetry, AI economics
Skills:
solution architecture, Apis, Node.js, Restful Services, cloud native architecture, enterprise deployments, integration patterns, data flows, modern infrastructure environments
Skills:
Databases, solution architecture, Integrations, Web Services, Application Development, Enterprise Architecture, Rest Apis, Identity And Access Management, low-code platforms, cloud platforms
Skills:
Aml, solution architecture, Machine Learning, Api Integration, Nlp, Data Privacy, API-led design, advanced AI, customer intelligence, Kyc, Risk Models, Fraud Detection, DevOps infrastructure
Skills:
API design, Cloud Architecture, Identity And Access Management, Gcp, Data Modelling, Azure, AWS, Etl, Integration patterns, Distributed systems architecture, Security and compliance requirements, Performance and scalability planning, Stakeholder communication, Event-driven, Messaging, Storage selection, Technical proposal and estimation