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GenAI Engineer

Job

Tata Consultancy Services Limited

Wilmington, DE (In Person)

$105,000 Salary, Full-Time

Posted 6 days ago (Updated 1 day ago) • Actively hiring

Expires 7/23/2026

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Job Description

GenAI Engineer 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
  • Write efficient Python code using AI frameworks
  • Follow MLOps best practices (CI/CD, automated deployment)
  • Ensure responsible AI practices (bias, fairness, ethics)
  • Mentor teams and contribute to enterprise AI platforms.
Languages:
Python
    AI/ML & GenAI:
    Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning
      Frameworks:
      TensorFlow, PyTorch
        GenAI Tools:
        LangChain, LlamaIndex
          Vector DB:
          Pinecone, FAISS
            Cloud Technologies:
            AWS / Azure / GCP
              Data Pipelines:
              ETL/ELT, Real-time & Batch Processing
                Integration:
                APIs, Microservices
                  Concepts:
                  RAG Architecture, XAI, Model Optimization
                    Methodologies:
                    Agile/Scrum, MLOps (CI/CD, Model Versioning, Deployment)
                      Compliance:
                      Banking regulations (SR 11-7, GDPR), Model Risk Management
                        Soft Skills:
                        Strong communication, stakeholder management, and analytical thinking Salary Range- $100,000-$110,000 a year #LI-SP3 #LI-VX1