AI Engineer | New York | Financial Services | Up to $120k + Bonus & Benefits

An 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 challenges
Design and implement AI-enabled workflows, automation solutions, and reporting frameworks
Build and refine AI agents, prompt libraries, and structured automation workflows
Develop data ingestion, transformation, and analytics processes to improve efficiency and insight
Ensure AI-generated outputs are accurate, reliable, and aligned with governance requirements
Support testing, deployment, user adoption, and continuous improvement initiatives
Evaluate emerging AI technologies and identify opportunities to enhance business processes

Requirements:

Ideally, you will have experience within Finance, Operations, Analytics, Technology, Product Control, Treasury, or a related business function
Exposure to AI agents, LLMs, prompt engineering, workflow automation, RAG-based solutions, or similar technologies
Experience with Python, SQL, or other scripting and analytics tools
Understanding of financial reporting, forecasting, budgeting, variance analysis, or related business processes
Ability to translate business requirements into practical AI-enabled solutions
Experience automating recurring reporting, forecasting, reconciliation, or operational workflows would be advantageous

This 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.