Principal AI Engineer

Northern Trust

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$137,400–$233,600 / yr
Employment
Full-time
Posted
109 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $225k
This role $186k
$121k $291k
below market most similar roles pay here above market

This role pays less than 76% of similar roles. Most pay $191,170–$258,625 — the blue band above. At the midpoint, this role pays about $186k versus about $225k for comparable roles.

Based on 240 similar postings.

Employer

About Northern Trust

Northern Trust is a leading provider of wealth management, asset servicing, asset management, and banking services to corporations, institutions, and high-net-worth individuals. Industry: Financial Services & Asset Management

Northern Trust currently has 107 open roles on FindRole.

Listed pay typically runs $114,500–$194,700 across 77 roles with salary data.

Most-posted roles

View all roles at Northern Trust

At a glance

TL;DR · Principal AI Engineer

JOB TITLE: Principal, AI Engineer As a key member of the AI Engineering team, the Principal, AI Engineer leads the design and implementation of secure, scalable, and compliant generative AI platforms. You will build production-grade systems powered by LLMs on Azure AI Foundry, utilizing models from Anthropic and OpenAI. Your daily responsibilities include developing data pipelines for structured and unstructured data, architecting semantic architectures, and integrating AI capabilities into client-facing dashboards. You will apply modern patterns like RAG, agents, and tool use to solve business problems in a highly regulated financial environment. Required skills include Python, SQL, Pyspark, and experience with vector databases like Pinecone or Neo4j. You will also manage data lineage, ensure regulatory compliance, and provide technical leadership to delivery teams across portfolio management and customer intelligence use cases.

What does a AI Engineer earn?

Median $211200 from 139 postings across 39 companies.

See salary data

What you'll do

  • Lead the design and implementation of a secure, scalable AI platform powered by LLMs on Azure AI Foundry.
  • Develop and oversee the integration of structured and unstructured data into the enterprise AI framework.
  • Architect and implement data pipelines that integrate internal banking systems, external feeds, and cloud platforms.
  • Drive the semantic architecture and engineering approach to advance enterprise context engineering and architecture disciplines.
  • Manage the data integration product vision and roadmap to support enterprise-wide AI transformation programs.
  • Optimize data workflows for performance, reliability, and cost-efficiency across hybrid cloud environments.
  • Partner with cybersecurity and compliance teams to enforce data privacy, encryption, and access controls.
  • Provide mentoring and coaching to engineers, product managers, and architects as the AI practice scales.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 10+ years of experience in data engineering or integration, preferably in financial services or banking.
  • Strong proficiency in Python, SQL, VS Code, GitHub Copilot, and data integration tools.
  • Hands-on experience building production-grade LLM/GenAI applications using patterns like RAG, Agentic AI, and NLP2SQL.
  • Experience with cloud platforms (Azure, AWS, GCP), container architecture, and major model provider APIs like Anthropic or OpenAI.
  • Solid SQL and PostgreSQL skills, including experience with vector databases like PGVector, Pinecone, or Neo4j.
  • Deep understanding of asset management domain, data governance, regulatory compliance, and risk management in banking.
  • Work Authorization Applicants.

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