Collaborate with business stakeholders in banking and financial services to identify problem statements and participate in or lead solution design, including understanding the day-in-the-life of an advisor and identifying critical manual flows.
Serve as Product Manager / Product Owner, working closely with architects and business SMEs to develop business requirements and AI solutions.
Design and develop GenAI solutions using LLMs (Claude, OpenAI, etc.) to improve advisor productivity and drive operational efficiency in areas such as Corporate Actions, Portfolio Management, AML / KYC processes.
Build agent-based workflows using frameworks like LangChain / Google ADK / similar tools.
Develop RAG pipelines, semantic search, and knowledge-driven applications.
Implement prompt engineering, evaluation frameworks, and guardrails to ensure reliable AI solutions.
Perform testing and validation of final solutions to align with business problems and optimize AI models and pipelines.
Coordinate with business and technology stakeholders to ensure program delivery.

Experience in the financial services industry (capital markets / banking) and familiarity with front office, middle office, or back office operations or processes.
Understanding of the end-to-end value chain (wealth management, asset management, investment banking, etc.).
Experience defining AI-related KPIs and building an AI adoption business case.
Proficiency in Python-based AI/ML development.
Understanding of LLMs and GenAI architectures.
Prompt engineering and chaining techniques.
Data processing and pipeline development experience.
Understanding of Graph RAG and hands-on experience with LangChain / similar frameworks.
Hands-on experience with Claude / OpenAI / other LLM APIs for Graph RAG scenarios.
Working knowledge of vector databases, embeddings, and semantic search.
Working knowledge of API integrations and microservices.

AI Engineer - GenAI / Agentic Systems - Financial Services

Job Description