Primary: AI/GenAI- open source/commercial LLM; Python; Azure; Databricks Secondary: Datawarehouse Job Description: GenAI / AI Engineer • Develop; fine‑tune; and optimize LLMs; multimodal models; and generative AI pipelines for various business use cases. • Build scalable AI/ML systems; including data pipelines; model training workflows; and inference services. • Evaluate and integrate open‑source and commercial LLMs (e.g.; GPT; Llama; Claude; Mistral). • Implement RAG (Retrieval-Augmented Generation); vector databases; embeddings; and prompt‑engineering strategies. • Collaborate with product; engineering; and domain teams to translate business problems into AI‑powered solutions. • Conduct experiments; benchmarking; and A/B testing to validate model performance. • Deploy models using cloud platforms (Azure) and MLOps tools. • Monitor; troubleshoot; and continuously improve AI systems in production. • Strong programming skills in Python and experience with ML frameworks • Hands‑on experience with LLMs; transformers; and generative AI architectures. • Experience with prompt engineering; fine‑tuning; and model evaluation. • Familiarity with MLOps tools (MLflow; Kubeflow; Docker; Kubernetes). • Experience with agentic workflows; LangChain; LlamaIndex; or similar frameworks. • Knowledge of multimodal AI (vision + language models). • Hands-on data experience on Cloud Technologies on Azure; ADF; Synapse; Pyspark/Python • Ability to understand Design; Source to target mapping (STTM) and create specifications documents • Flexibility to operate from client office locations • Able to mentor and guide junior resources; as needed Nice to Have • Any relevant certifications • Banking experience on RISK & Regulatory OR Commercial OR Credit Cards/Retail