Senior AWS Core Banking Transformation Engineer

(Client-Facing | Demo Engineering | AI & Data) Role Summary We are seeking a Senior AWS Engineer with deep expertise in core banking systems and transformation programs across lending, credit, deposits, and investment domains. This is a high-impact, client-facing, hands-on engineering role requiring the ability to: Design and deliver cloud-native banking solutions on AWS Build rapid prototypes and live demos for client engagements Integrate AI and data capabilities into core banking platforms The ideal candidate combines strong engineering depth, banking domain expertise, and the ability to translate ideas into working solutions quickly. ✅ Key Responsibilities Core Banking Transformation Lead modernization of core banking systems, including: Lending / loan origination and servicing Credit decisioning systems Payments, deposits, and investment platforms Drive transformation approaches: Legacy → cloud-native (rehost, replatform, refactor) Monolith → microservices / event-driven architecture Translate business requirements into scalable, secure, production-ready architectures Client-Facing Demo & Prototyping (Critical Requirement) Build end-to-end functional prototypes and demos on AWS to showcase solutions Rapidly convert client use cases into: Working applications API-driven services AI/data-driven proof-of-value solutions Lead: Solution workshops Pre-sales discussions Live demo sessions with business and technology stakeholders ✅ Expected capability: Build a working demo (e.g., AI-powered credit workflow or customer 360 solution) within short timelines AWS Cloud Engineering (Hands-on Senior Level) Architecture & Design Design cloud-native banking architectures using: Microservices and event-driven patterns API-first integration models Ensure: High availability, scalability, and resiliency Security and regulatory compliance Core AWS Stack Compute: Lambda, ECS/EKS, EC2 Data: S3, Aurora/RDS, DynamoDB Integration: API Gateway, Step Functions, EventBridge Observability: CloudWatch and monitoring frameworks DevOps & Automation Infrastructure-as-Code (Terraform / CloudFormation / CDK) CI/CD pipelines and automated deployment Ability to stand up environments quickly for demos and delivery AI & Data Capabilities in Banking (Strong Preference) Data Engineering Build and manage: Data lakes (S3-based architectures) ETL / ELT pipelines Work with banking data: Customer, transaction, credit, and risk datasets Machine Learning & Analytics Develop or integrate models for: Credit scoring and underwriting Fraud detection / AML Customer segmentation and personalization GenAI & Modern AI Implement: RAG-based solutions (e.g., document processing, KYC) AI assistants for banking users Experience with: AWS Bedrock / SageMaker / equivalent LLM orchestration and vector search Real-Time Decisioning Build event-driven pipelines supporting: Real-time credit approvals Fraud detection and alerts Client Engagement & Thought Leadership Act as a trusted technical advisor to financial services clients Lead: Architecture discussions Solution design workshops Pre-sales and technical solutioning Communicate the value of: Core banking modernization Cloud + AI transformation Bridge business, data, and technology stakeholders effectively ✅ Required Qualifications 8–15+ years experience in: Banking technology / financial services IT Core banking systems (lending, payments, deposits, investments) Proven experience delivering: Core banking modernization or migration programs Large-scale transformation initiatives Strong hands-on AWS experience: Cloud-native architecture and development Microservices / distributed systems Strong hands-on programming experience in Python (preferred), with the ability to build cloud-native applications, data pipelines, and rapid client-facing prototypes Demonstrated ability to: Build working demos / PoCs under time pressure Operate effectively in client-facing roles ✅ Preferred Qualifications Experience with core banking platforms: Temenos, Mambu, Finacle, FLEXCUBE, nCino Proven AI / Data experience in banking: Data engineering and analytics platforms ML / GenAI use cases integrated into business workflows Experience with: Event-driven architecture API-first ecosystems Domain-driven design (DDD) AWS Certifications (Associate / Professional) ✅ Profile We Are Targeting Hands-on builder (not a pure architect or program manager) Able to design, build, and demo solutions live to clients Strong banking domain credibility Bridges cloud + core banking + AI/data Comfortable in pre-sales + delivery hybrid environments