What Youll Bring: • Bachelor's or Master's degree in Computer Science, Computer Engineering, Systems Analysis, or a related field (or equivalent experience and certifications) • 8+ years of experience in full stack engineering and architecture, including AI and GenAI solutions • Strong experience in software architecture, engineering best practices, and technology governance • Hands-on experience with front-end technologies such as React, Angular, and JavaScript • Hands-on experience with back-end technologies such as Java, Spring Boot, Node.js, and C# • Experience with AI frameworks such as TensorFlow and PyTorch • Proficiency in Python and experience with AI orchestration frameworks such as LangChain • Experience with vector databases, knowledge graphs, and modern data processing techniques • Strong understanding of Agile development methodologies, DevSecOps practices, and CI/CD pipelines • Experience with Infrastructure as Code (e.g., Terraform) • Cloud platform experience, preferably AWS • Deep understanding of architectural patterns, principles, and frameworks • Strong analytical skills with the ability to connect technical solutions to business outcomes. Preferred Qualifications: • Experience delivering end-to-end AI solutions, including data ingestion, vectorization, model integration, and deployment platforms • Experience implementing enterprise platforms such as content management systems, low-code platforms, or application builders • Knowledge of security protocols and secure system design • Financial services industry experience.