Senior AI Platforms Architect for Production-Grade GenAI

Northern Trust Corp

Chicago (IL)

On-site

USD 137,400 - 233,600

Full time

14 days+
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Job summary

Northern Trust is seeking a Principal AI Engineer to lead production-grade AI platforms and data pipelines in a regulated financial setting. You will design secure architectures, integrate structured and unstructured data, and drive governance around data assets and risk controls.

You will collaborate with AI, data engineering, and risk teams to deliver client-ready AI capabilities, while guiding how vendor solutions and cloud services are consumed within compliant enterprise standards.

Qualifications

  • 10+ years in data engineering or integration in financial services.
  • Bachelor’s or Master’s in CS, data engineering, or related field.
  • Proven ability to deliver production-grade AI data pipelines with governance and security.

Responsibilities

  • Lead development of client-facing AI capabilities and dashboards.
  • Architect data pipelines for structured and unstructured data.
  • Ensure metadata, lineage, and audit trails across data assets.
  • Collaborate with architecture, data teams, and risk functions.
  • Guide regulatory compliance, vendor negotiations, and security assessments.

Skills

Python
SQL
Data integration
Cloud platforms
LLM/GenAI
REST APIs
PostgreSQL
Vector databases
Anthropic Claude
OpenAI GPT
Pyspark
Azure
AWS
GCP
VS Code
GitHub Copilot

Education

Bachelor’s or Master’s in Computer Science / Data Eng

Tools

PGVector
Pinecone
Neo4j
Azure
AWS
GCP
Pyspark
VS Code
GitHub Copilot

Job description

Northern Trust is seeking a Principal AI Engineer to lead production-grade AI platforms and data pipelines in a regulated financial setting. You will design secure architectures, integrate structured and unstructured data, and drive governance around data assets and risk controls.

You will collaborate with AI, data engineering, and risk teams to deliver client-ready AI capabilities, while guiding how vendor solutions and cloud services are consumed within compliant enterprise standards.

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