Senior AWS Core Banking Transformation Engineer

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

1. Core Banking Transformation

Lead modernization of core banking systems, including:
Drive transformation approaches:
- Legacy cloud-native (rehost, replatform, refactor)
- Monolith microservices / event-driven architecture
Translate business requirements into scalable, secure, production-ready architectures

2. 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

Build a working demo (e.g., AI-powered credit workflow or customer 360 solution) within short timelines

3. 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

4. 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

5. 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

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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