Java AI Solutions Architect
Java AI Solutions Architect
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Salary Not Disclosed
1 Vacancy
Job Description
contract posiution
OnSite Princeton NJ
14 years of Javabased enterprise application development
6 years in architecting scalable and cloudnative banking applications
2 years in designing semantic modelingbased systems or working with graph databases
Java SE Java EE Spring Boot Spring Framework (MVC Security Data Cloud)
Microservices EventDriven Architecture API Development (REST GraphQL)
Payment Gateway Integration (ISO 8583 SWIFT SEPA Open Banking APIs PCI DSS Compliance)
CloudNative Architectures (AWS Azure Google Cloud) Containerization (Docker Kubernetes)
DevOps & CI/CD (Jenkins GitHub Actions Terraform CloudFormation)
Semantic Data Modeling (RDF OWL JSONLD SPARQL)
Graph Databases (Neo4j RDF4J Apache Jena Stardog Ontotext GraphDB)
Intelligent Data Querying (Semantic Search AIDriven Data Retrieval)
Machine Learning & NLP for Financial Data Processing (TensorFlow PyTorch LangChain BERT GPTbased models)
Angular React Vue.js for Banking UI Development
Semantic UI & Data Visualization for Banking Applications
A11y & Responsive UI Design
Authentication & Authorization (OAuth2 JWT SAML RBAC)
Data Encryption API Security GDPR PCI DSS ISO 27001
Design develop and oversee the implementation of Javabased enterprise solutions that incorporate semantic modeling for intelligent data processing and retrieval in banking applications.
Architect scalable resilient and secure banking applications that seamlessly integrate with ontologybased knowledge graphs and semantic search capabilities.
Design and implement Payment Gateway architectures ensuring high security performance and compliance (PCI DSS ISO 8583 SWIFT SEPA Open Banking APIs).
Integrate thirdparty payment providers realtime transaction processing and digital wallets into enterprise banking solutions.
Develop ontologybased data models using RDF OWL and SPARQL enabling structured and contextaware data representation for banking applications.
Utilize Graph Databases (Neo4j RDF4J Apache Jena Stardog) for storing and managing semantic data in financial services.
Optimize API performance and response times using semantic query optimization and intelligent caching strategies for GraphQL and RESTful APIs.
Implement AIdriven risk assessment and fraud detection algorithms using machine learning frameworks (TensorFlow PyTorch LangChain).
Ensure banking applications comply with ethical AI standards data protection laws (GDPR ISO 27001 and industry regulations.
Collaborate with data scientists backend engineers and UX/UI teams to ensure the seamless integration of semantic data modeling into financial applications.
Design APIdriven architectures for intelligent financial data retrieval incorporating NLPbased semantic search capabilities.
Define cloudnative deployment strategies for AIpowered semanticdriven banking applications leveraging AWS Azure or Google Cloud.
Implement best security practices for authentication authorization encryption and fraud detection in banking applications.
Bachelors/Masters in Computer Science Software Engineering or related field
Employment Type
Full Time
