Lead GenAI Engineer – Enterprise AI Platforms

Northern Trust; Chicago (IL); On-site; USD 137,000 - 234,000; Full time

Job summary

Northern Trust in Chicago, IL seeks an experienced AI Engineering leader to design and implement secure, scalable AI platforms powered by LLMs, including Azure AI Foundry, with governance and compliance in a highly regulated financial environment.

You will lead cross-functional teams to deliver client-facing AI capabilities, data pipelines, and enterprise context engineering, collaborating with data scientists, model risk, and procurement to scale responsible AI.

Qualifications

• Lead development of client-facing AI capabilities and integration into client front ends and dashboards.

Responsibilities

• Lead development of client-facing AI capabilities and integration into front ends and dashboards.
• Develop and oversee data integration across enterprise AI framework with engineering teams.
• Architect and implement data pipelines for structured and unstructured data.
• Advance enterprise context engineering and governance.
• Collaborate with stakeholders to define data requirements for AI models in finance.
• Ensure metadata management, data lineage, and audit trails for AI data assets.
• Provide leadership to multiple technical delivery teams.
• Guide vendor negotiations and data solution terms.
• Provide guidance for regulatory compliance.
• End-to-end data integration product management vision.
• Support real-time and batch data ingestion from vendor platforms.
• Optimize data workflows for performance and cost in hybrid cloud.
• Mentor engineers and act as team lead.

Skills

Python

SQL

REST APIs

PostgreSQL

PGVector

AI/ML frameworks

Cloud platforms (Azure, AWS, GCP)

Docker/Kubernetes

LLM/GenAI

Education

Bachelor's/Master's in CS or Data Engineering

Tools

Azure

AWS

GCP

Databricks

Snowflake

Exadata

Oracle

Job description

Northern Trust in Chicago, IL seeks an experienced AI Engineering leader to design and implement secure, scalable AI platforms powered by LLMs, including Azure AI Foundry, with governance and compliance in a highly regulated financial environment.

You will lead cross-functional teams to deliver client-facing AI capabilities, data pipelines, and enterprise context engineering, collaborating with data scientists, model risk, and procurement to scale responsible AI.