Forward Deployed AI Engineer

Responsibilities

• 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.

Requirements

• 5+ years of experience in Data Science or Applied AI
• Proficiency in Python and SQL for complex data manipulation, pipeline building, and model integration
• 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

Nice-to-Haves

• Experience with advanced prompt engineering and fine-tuning
• Experience establishing AI risk metrics and evaluation pipelines