below marketmost similar roles pay hereabove market
This role pays more than
58%
of similar roles. Most pay
$149,375–$219,862
— the blue band above.
At the midpoint, this role pays about
$186k
versus about
$185k
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.
The Lead AI Cloud Engineer joins the Digital Coworkers and Generative AI Foundation Platform teams to design, build, and support enterprise AI solutions. This role involves full stack application development, cloud engineering, and AI integration to deliver scalable, secure business solutions. You will develop modern web applications, APIs, and microservices while integrating Large Language Models, Retrieval Augmented Generation solutions, and AI agents into production environments. Key responsibilities include managing the AI lifecycle, including testing, deployment, and governance. You will utilize Microsoft Azure services, Terraform for Infrastructure as Code, and CI/CD pipelines. The work focuses on transforming AI strategy into production-ready capabilities across Transfer Agency and Reconciliation domains, ensuring operational readiness and reliability within a regulated enterprise environment using tools like GitHub, Jira, and Snowflake.
Design and develop full stack applications, APIs, and microservices to support Digital Coworkers and GAI platform capabilities.
Build AI-powered business solutions using Large Language Models, Retrieval Augmented Generation (RAG), and AI agents.
Design and deploy cloud-native solutions using Microsoft Azure services and Infrastructure as Code with Terraform.
Build and maintain CI/CD pipelines to support enterprise application delivery and production deployment.
Integrate AI services with enterprise APIs, workflow orchestration platforms, and cloud-native services.
Support AI lifecycle activities including testing, monitoring, governance, and operational readiness.
Develop technical documentation, deployment guides, and operational runbooks for engineering and delivery teams.
What we're looking for
Bachelor's degree in Computer Science, Information Technology, Engineering, Software Development, or a related discipline; equivalent professional experience is considered.
7+ years of software engineering experience supporting enterprise applications.
5+ years of cloud engineering experience supporting Azure or comparable cloud platforms.
Demonstrated experience designing and developing APIs, microservices, and distributed systems.
Experience building enterprise applications using modern software engineering practices and collaborating across engineering, architecture, operations, security, and business teams.
Experience supporting enterprise AI platforms, Microsoft AI services, or integrating Azure OpenAI and Copilot technologies (preferred).
Experience within financial services or another regulated industry (preferred).
Generative AI
Python
Java
Microsoft Azure
Amazon Web Services
Google Cloud
AI SDLC
GitHub Copilot
Devin
Cursor
Claude Code
Software Engineering Automation
Cloud Security