AI Solutions Engineer; Finance Analyst - Contingent

Our client, a leading organization in the financial services industry, is seeking an AI Solutions Engineer (Finance Analyst 4 - Contingent) to join their team. As an AI Solutions Engineer (Finance Analyst 4 - Contingent), you will be part of the Innovation & AI department supporting Treasury initiatives. The ideal candidate will have strong problem-solving skills, a collaborative mindset, and a passion for developing innovative AI solutions, which will align successfully in the organization.

• Design and develop AI prototypes, proofs of concept, and technical demonstrations tailored for Treasury use cases.
• Collaborate with Treasury stakeholders to identify high-value opportunities and translate complex business challenges into innovative AI solutions.
• Create intelligent agents, enterprise copilots, and decision-support tools that reason across enterprise data and processes.
• Build agentic workflows that coordinate tools, maintain state, and incorporate human oversight when necessary.
• Integrate AI solutions with enterprise data platforms, leveraging a graph-based context layer built on Data Hub to understand relationships among data assets and systems.

• Proven experience in building generative AI, agentic AI, machine learning, or advanced software solutions.
• Strong hands-on skills in Python and Type Script, including API development, automation, testing, and debugging.
• Experience developing applications powered by large language models and working with frameworks like Lang Graph, Lang Chain, or similar.
• Familiarity with enterprise AI platforms such as Azure OpenAI and integrating AI with enterprise data, APIs, and analytical tools.
• Solid understanding of REST APIs, SQL, graph-based data structures, and modern software development practices.

• Opportunity to work on cutting-edge AI projects within a dynamic financial services environment.
• Collaborate with a talented team of professionals dedicated to innovation and technological advancement.
• Develop skills in enterprise AI frameworks, agent orchestration, and data integration techniques.
• Contribute to impactful solutions that enhance Treasury operations and decision-making processes.
• Potential for career growth and involvement in scalable AI initiatives.