The Finance Technology AI Enablement team is seeking a Senior Lead AI Developer who can work independently and partner directly with business leaders and subject matter experts (SMEs) to understand current business processes and design AI-driven solutions that transform how those processes operate. This role requires a hands-on technical leader who is equally comfortable architecting complex, distributed AI/ML systems and presenting solutions and roadmaps to business and IT leadership.
Key ResponsibilitiesWork independently and collaborate directly with business leaders and SMEs to understand current business processes, pain points, and objectives.
Design and propose AI-enabled solutions that transform and automate existing business processes end-to-end.
Create automation, AI, and ML architecture, including detailed technical design, and lead the build-out of the resulting solutions.
Design and implement Generative AI, Machine Learning, automation, and complex agentic workflow solutions.
Build high-performing, complex semantic layers using advanced technologies such as RAG, Knowledge Graphs, and GraphRAG.
Enable natural language querying (NLP) against large-volume databases with a large number of tables and complex relationships.
Architect and implement financial data processing and analytics solutions enabled by AI/ML.
Develop analytics AI capabilities, including forecasting, fraud detection, and prediction models using Machine Learning.
Drive an AI-first architecture approach across data processing automation and business process automation initiatives.
Design solutions for high-volume processing using event-driven frameworks and platforms.
Present technical concepts, solution designs, and roadmaps clearly to business leaders and large IT audiences.
Provide technical leadership and mentorship within the AI Enablement team.
Required QualificationsExperience
More than 8 years of experience in software/AI/ML development, including cloud and distributed architecture and platform solutions.
Hands-on experience with major cloud platforms: Azure, Google Cloud Platform, and AWS.
Experience with Kubernetes and container orchestration.
Experience with event-driven frameworks/platforms and high-volume data processing.
Extensive experience with Generative AI (GenAI) and Machine Learning solution design and implementation.
Experience building complex agentic workflows and automation solutions.
Experience with financial data processing and analytics enabled by AI/ML.
Experience building semantic layers using RAG, Knowledge Graph, and GraphRAG technologies.
Experience enabling NLP-based querying against large, complex relational databases.
Experience with analytics AI use cases such as forecasting, fraud detection, and prediction using ML.
Skills & Competencies
Strong ability to translate business processes into AI/automation architecture and detailed technical designs.
Ability to work independently with minimal oversight while managing multiple stakeholders.
Strong analytical and problem-solving skills with an AI-first mindset.
Excellent communication and presentation skills, with the ability to engage business leaders and large IT audiences effectively.
Strong collaboration and soft skills, with the ability to build trust with business and technology stakeholders.
Preferred AttributesPrior experience in Finance Technology or financial services domains.
Track record of leading AI transformation initiatives from concept through production deployment.
Experience mentoring junior developers and driving technical best practices.
