GenAI Architect Finance

We are looking for a GenAI Architect with strong finance domain expertise to lead the design and implementation of AI-driven solutions for financial systems and data workflows. This role requires deep expertise in Generative AI, Python development and scalable system architecture, along with the ability to work cross-functionally with finance and engineering teams., Architect and lead development of GenAI solutions for finance-related use cases (reporting, automation, document intelligence, analytics) Design and implement LLM-based applications using Python Define system architecture including data pipelines, APIs and model integrations Work with financial datasets (structured and unstructured) Collaborate with finance stakeholders to translate business problems into AI solutions Ensure scalability, reliability and security of AI systems Provide technical leadership, design reviews and mentorship

Strong experience in Python development (5-10 years) Hands-on experience in AI / ML / GenAI (2-5 years, applied in real projects) Experience designing and implementing LLM-based solutions Proven experience in system architecture and technical leadership Strong understanding of data pipelines and model integration Domain Requirement (Mandatory): Experience in Finance domain (banking, fintech, accounting, financial analytics, or enterprise finance systems) Understanding of financial data, reporting, or compliance workflows Preferred Qualifications: Experience with LLM frameworks (LangChain, LlamaIndex) Cloud platforms (AWS / Azure / GCP) Vector databases (Pinecone, FAISS, etc.) NLP, document processing, or conversational AI systems Experience working in large-scale enterprise environments Required Skills: Artificial Intelligence / GenAI (2-5 years) Python (5-10 years) Finance domain expertise Architecture / system design experience