Key Responsibilities:
- Lead the design and implementation of generative AI use cases, from ideation to production.
- Build and tune LLM-based applications using platforms like Vertex, GPT, Hugging Face, etc.
- Create robust prompt engineering strategies and reusable prompt templates.
- Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Pinecone, FAISS, Chroma), and orchestration tools.
- Collaborate with Tech and business teams to identify opportunities and build solutions.
- Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation.
- Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation.
- Responsible for documenting the model development documents for MRM approvals and governance purposes.
- Stay current on GenAI trends, frameworks (LangChain, LlamaIndex), and research.
- Mentor junior team members and promote a culture of experimentation and learning.
- Stay abreast of advancements in Gen AI, LLMs, and fraud prevention technologies, applying relevant innovations to projects.
- Specialization in fraud or risk domain preferred.
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