American Express—Financial Systems Analyst II

Job description

Description: The Finance Agentic Automation team is looking for an Agentic AI Product Owner to identify and deliver AI-driven solutions for complex Finance problems. This role sits at the intersection of Agentic AI, software engineering, enterprise platforms, and Finance processes. You will work closely with business and technology teams to identify opportunities, define solutions, and drive them from idea to production and measurable business outcomes. The role requires a strong understanding of Generative AI and Agentic AI, solid technical foundations, and the ability to navigate ambiguity and drive initiatives from problem definition through production adoption and measurable business outcomes. Requirements: - 5+ years of experience in software engineering, technology product management, automation or related roles. - Strong understanding of Generative AI and Agentic AI concepts, architectures and use cases. - Working knowledge of Java and Python, with the ability to understand technical designs, code and system behaviour. - Strong understanding of APIs, backend systems, integrations, data flows and distributed architectures. - Familiarity with LLMs, agents, tool calling, orchestration, RAG, context/state management, evaluation and observability. - Proven ability to solve complex, cross-functional business and technology problems. - Strong analytical skills and ability to create structure when requirements or solutions are unclear. - Strong execution and stakeholder management skills across business and technology teams. - Excellent written and verbal communication skills. - High degree of ownership, curiosity, judgment and accountability. Responsibilities: - Identify and prioritise Finance opportunities where Agentic AI and automation can create meaningful business value. - Translate business problems into clear use cases, requirements, priorities and delivery plans. - Shape solutions using LLMs, AI agents, tool/function calling, orchestration, RAG/retrieval, context management, evaluation and observability. - Partner with engineering teams working across Java, Python, APIs, data, integrations and enterprise platforms. - Evaluate solution options and make informed trade-offs across business value, technical feasibility, risk and scalability. - Manage key dependencies, risks, blockers and decisions throughout delivery. - Coordinate across Finance, engineering, product and platform teams to ensure effective execution. - Ensure solutions meet expectations for security, reliability, maintainability, performance and production readiness. - Define success measures and track adoption, effectiveness and business outcomes. - Stay current with evolving Agentic AI capabilities and assess their relevance to Finance use cases.