GenAI Engineer

Requirements Location: Wilmington, DE Years of experience: 8 - 10 years Responsibilities Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics. Build, fine‑tune, and deploy ML models and LLMs for credit scoring, AML, and automation. Implement RAG-based GenAI applications using internal banking data. Develop scalable data pipelines for training, validation, and real‑time inference. Collaborate with risk, compliance, finance, and business teams for AI solutions. Ensure regulatory compliance and AI governance standards. Implement data security, privacy, and access control mechanisms. Integrate AI models into production using APIs and microservices. Apply prompt engineering and model optimization techniques. Monitor model performance, drift detection, and continuous improvement. Develop explainable AI (XAI) for transparent decision‑making. Optimize cost, latency, and scalability of AI systems. Troubleshoot AI/ML system issues across data and deployment layers. Follow MLOps best practices (CI/CD, automated deployment). Mentor teams and contribute to enterprise AI platforms. Data Pipelines: ETL/ELT, Real‑time & Batch Processing. Compliance: Banking regulations (SR 11‑7, GDPR), Model Risk Management. Soft Skills: Strong communication, stakeholder management, and analytical thinking. #J-18808-Ljbffr Tata Consultancy Services Limited