Role overview
About this job
Key Responsibilities:
- Develop Generative AI and Data Science solutions for business problems.
- Build LLM-powered applications using prompt engineering, RAG, embeddings, and semantic search.
- Experiment with agentic AI workflows and evaluate AI-generated outputs.
- Apply Machine Learning and statistical techniques to analyse data and generate insights.
- Work with structured and unstructured data to identify trends and opportunities.
- Collaborate with business and technology teams to develop and test AI solutions.
- Communicate analytical findings, recommendations, and results to stakeholders.
Required Skills:
- Strong Python programming and working knowledge of SQL.
- Knowledge of Data Science, Machine Learning, and statistical modelling.
- Understanding of LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
- Familiarity with embeddings, semantic search, and GenAI evaluation.
- Strong analytical thinking, problem-solving, and communication skills.
Preferred Skills:
- Exposure to agentic AI, LangChain, LangGraph, or LlamaIndex.
- Knowledge of vector databases, advanced RAG, or NLP.
- Familiarity with model fine-tuning and responsible AI practices.
Important Note: The role requires demonstrated hands-on experience with Generative AI solutions through work, internships, academic research, or substantial projects. Verify eligibility and salary details on the official American Express careers page before applying.