Senior Lead AI Developer - forecasting, fraud detection and prediction using ML.

100% Remote

Position Overview

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 Responsibilities

• Work 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 Qualifications

Experience

• 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 Attributes

• Prior 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