GenAI Engineer (JC)

2+ years of professional experience executing end-to-end Generative AI projects using: • Large Language Models (e.g., GPT, LLaMA) • MCP (skills-based orchestration) • Agentic frameworks (e.g., LangGraph) • LLM development frameworks ( LangChain, LlamaIndex) • Embedding models (e.g., all-MiniLM-L6-v2, nomic-ai) • Evaluation frameworks ( RAGAS, LangSmith, Phoenix/Arize) • REST APIs, FastAPI, WebSockets • Enterprise data stores ( Redis, MongoDB) 1. Strong Python programming expertise Frontend experience with Angular is a significant plus 3\. Model Governance & Risk Management Must have hands-on experience with Model Risk Management and Model Governance, including: • Delivering GenAI solutions in compliance with governance guidelines • Authoring formal model documentation • Designing and implementing model monitoring and performance controls 1. Bachelor’s degree (or advanced degree) in a related IS/IT discipline, or equivalent professional experience 1. Typically, 10+ years of overall IT experience, including leadership on complex, enterprise initiatives 1. Excellent written and verbal communication skills with a strong ability to explain technical concepts clearly self-starter with strong technical skills as well as leadership qualities, and should be able to effectively communicate difficult technical concepts. No previous banking experience. We are seeking a hands-on AI Engineer to work on a high-visibility Generative AI initiative focused on enterprise-scale document summarization and conversational AI. The platform will support large volumes of heterogeneous documents across multiple lines of business (LOBs). This role is ideal for a self-starter with deep technical expertise, strong leadership capabilities, and the ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Responsibilities: • Lead the design, development, and implementation of complex data and AI applications, often leveraging emerging and cutting-edge technologies • Architect and deliver enterprise-scale GenAI solutions, including summarization engines and chatbot applications. • Apply sound judgment in selecting methods, tools, and evaluation criteria within broadly defined practices and policies. • Provide technical leadership by owning deliverables, assigning work, and resolving complex technical issues. • Translate business strategy and requirements into actionable technical solutions • Ensure solutions comply with model governance and risk management standards • Collaborate effectively with business stakeholders, IT partners, and external vendors