Artificial Intelligence Engineer

AI Engineer | New York | Financial Services | Up to $120k + Bonus & BenefitsAn exciting opportunity has arisen for an AI Engineer to help drive the adoption of AI, automation, and data-driven decision-making within a highly data-focused financial environment.This role sits at the intersection of Finance, Operations, and AI, focusing on modernising business workflows through AI-powered analytics, intelligent automation, and agentic AI solutions. You'll work closely with stakeholders to transform reporting, forecasting, and operational processes into scalable, production-ready AI-enabled workflows.Key responsibilities:Partner with business stakeholders to understand reporting requirements and process challengesDesign and implement AI-enabled workflows, automation solutions, and reporting frameworksBuild and refine AI agents, prompt libraries, and structured automation workflowsDevelop data ingestion, transformation, and analytics processes to improve efficiency and insightEnsure AI-generated outputs are accurate, reliable, and aligned with governance requirementsSupport testing, deployment, user adoption, and continuous improvement initiativesEvaluate emerging AI technologies and identify opportunities to enhance business processesRequirements:Ideally, you will have experience within Finance, Operations, Analytics, Technology, Product Control, Treasury, or a related business functionExposure to AI agents, LLMs, prompt engineering, workflow automation, RAG-based solutions, or similar technologiesExperience with Python, SQL, or other scripting and analytics toolsUnderstanding of financial reporting, forecasting, budgeting, variance analysis, or related business processesAbility to translate business requirements into practical AI-enabled solutionsExperience automating recurring reporting, forecasting, reconciliation, or operational workflows would be advantageousThis is an excellent opportunity for someone who enjoys working between business and technology and wants to play a key role in applying AI to real-world operational and finance challenges.