GenAI Architect

GenAI Architect Location: Mount Laurel, NJ Duration: Contract / Full Time Must Have: AI/GenAI- open source/commercial LLM; Python; Azure; Databricks Develop; fine‐tune; and optimize LLMs; multimodal models; and generative AI pipelines for various business usecases. 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