Principal, AI Engineer

About Northern Trust

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.

Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.

With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

Job Description Summary

As a key member of our AI Engineering team who builds, ships, and owns production-grade generative AI systems, the lead the design and implementation of secure, scalable, and compliant AI platform powered by LLM’s-powered on Azure AI Foundry, working across multiple model providers (Claude / Anthropic, GPT / OpenAI, and others), applying modern AI design patterns (RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment.

Job Description

1. Lead development of a portfolio of client-facing AI capabilities and integration methods, embedding them into client front ends and interactive dashboards to ensure these capabilities are well aligned and meet required validation and responsible AI standards.

1. Develop and oversee business unit wise approach to integrate structured and unstructured data into NT’s enterprise AI framework in collaboration with the AI architecture, AI engineering, and data platform engineering teams.

1. Develop and lead the practice of data pipeline engineering, rationalizing custom data integrations over time to establish common methods and approaches.

1. Architect and implement data pipelines that integrate structured and unstructured data from internal banking systems, external feeds, and cloud platforms for AI/ML use cases.