Embed directly with clients to gather requirements, translating ambiguous operational challenges into concrete technical architectures and delivering high-impact, AI-driven solutions with extreme ownership.
Train and deploy custom AI agents to prevent fraud and automate complex fincrime workflows across a diverse portfolio of use cases.
Utilize advanced prompt engineering, fine-tuning, and rigorous evaluation frameworks to continuously optimize AI agent performance, ensuring high accuracy, safety, and reliability.
Champion an AI-first approach across internal teams and client engagements, demonstrating the tangible business impact of advanced machine learning interventions.
Establish and evolve our AI risk metrics, the supporting datasets, and the evaluation pipelines used to measure the causal impact of deployed agents.
Collaborate tightly with internal engineering and product teams to scale custom models into production, ensuring seamless integration and optimized operational performance.

5+ years of experience in Data Science or Applied AI
Proficiency in Python and SQL for complex data manipulation, pipeline building, and model integration.
A creative, critical thinker with a "get-things-done" mentality, who thrives autonomously and is obsessed with delivering measurable business value.
Exceptional ability to own the end-to-end solution lifecycle, including the ability to comfortably translate ambiguous client challenges into concrete requirements and deliver the final product.

Forward Deployed AI Engineer

Key skills