Lead AI Cloud Engineer

Northern Trust•Barrington, IL

6d•$137,400 - $233,600

About The Position

Northern Trust is seeking an experienced AI Full Stack Cloud Engineer to design, build, deploy, and support enterprise AI solutions across its Digital Coworkers ecosystem and Generative AI Foundation Platform (GAI). The role combines full stack application development, cloud engineering, AI integration, platform engineering, and enterprise solution delivery. The engineer will develop scalable, secure, and governed AI-powered business solutions using cloud-native technologies, large language models, enterprise APIs, workflow automation, and Digital Coworker frameworks. The role involves working with AI and Cloud Engineers, Product Managers, Technical Account Managers, Architects, Scrum Masters, and business stakeholders to accelerate AI adoption and deliver business value. The role supports development of full stack applications, APIs, microservices, and enterprise integrations, as well as AI solutions and Digital Coworkers across Transfer Agency, Reconciliation, Omnium, and future initiatives. It includes integrating AI services, LLMs, RAG solutions, agents, orchestration frameworks, enterprise APIs, and cloud-native services; supporting the AI lifecycle and responsible AI governance; deploying Azure solutions and Terraform-based infrastructure; and building CI/CD pipelines. The engineer contributes to production readiness, monitoring, reliability, documentation, engineering standards, and continuous improvement. Applicants must be authorized to work in the United States without current or future employment-based visa sponsorship. Northern Trust states that sponsorship is unavailable for this opportunity.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, Software Development, or a related discipline; equivalent professional experience will be considered.
At least 7 years of software engineering experience supporting enterprise applications.
At least 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.
Strong experience collaborating across engineering, architecture, operations, security, and business teams.
Strong written and verbal communication skills.
Ability to work effectively in a regulated enterprise environment with governance, controls, auditability, and operational-readiness expectations.
Ability to work independently while managing multiple priorities and deliverables.
Applicants must be authorized to work in the U.S. without the need for current or future employment-based visa sponsorship.

Nice To Haves

Experience supporting enterprise AI platforms and AI-enabled business solutions.
Experience building AI-powered applications using Microsoft AI services.
Experience supporting Digital Coworkers, intelligent automation platforms, or workflow orchestration solutions.
Experience integrating Azure OpenAI, Copilot technologies, AI services, or agentic AI solutions.
Experience in financial services or another regulated industry.
Familiarity with enterprise AI governance, Responsible AI, model lifecycle management, and operational controls.
Experience supporting globally distributed engineering teams.
Experience leveraging Snowflake, Databricks, vector databases, and enterprise integration platforms.
Experience integrating with ServiceNow, Identity Management systems, and operational support processes.

Responsibilities

Design and develop full stack applications supporting Digital Coworkers and GAI platform capabilities.
Build modern web applications, APIs, microservices, and enterprise integration services.
Develop reusable software components for multiple AI-driven products and business domains.
Create scalable user experiences that simplify enterprise AI adoption and workflow automation.
Participate in architecture reviews, code reviews, and technical design discussions.
Build AI-powered business solutions leveraging the Generative AI Foundation Platform.
Develop and support Digital Coworkers across Transfer Agency, Reconciliation, Omnium, and future AI business initiatives.
Integrate AI services, enterprise APIs, workflow orchestration platforms, and cloud-native services.
Support production deployment, monitoring, scalability, reliability, and operational readiness.
Collaborate with AI Engineers and platform teams to deliver enterprise-ready AI capabilities.
Integrate applications with LLMs, RAG solutions, AI agents, and orchestration frameworks.
Develop enterprise AI integrations using approved AI services and platform capabilities.
Support AI lifecycle activities including testing, deployment, monitoring, governance, and operational readiness.
Contribute to responsible AI and enterprise AI governance initiatives.
Partner with business and technology teams to identify opportunities for AI-enabled transformation.
Design and deploy cloud-native solutions leveraging Microsoft Azure services.
Develop Infrastructure as Code using Terraform and related automation frameworks.
Build and maintain CI/CD pipelines supporting enterprise application delivery.
Implement monitoring, logging, resiliency, and performance optimization practices.
Support secure and governed cloud engineering standards.
Promote software engineering best practices, coding standards, and reusable architecture patterns.
Develop technical documentation, deployment guides, operational runbooks, and support procedures.
Support continuous improvement initiatives across engineering and delivery teams.
Work independently while collaborating across multiple functions and organizations.

Benefits

Retirement benefits, including 401(k) and pension.
Health and welfare benefits, including medical, dental, vision, spending accounts, and disability coverage.
Paid time off.
Parental and caregiver leave.
Life and accident insurance.
Other voluntary and well-being benefits.
Discretionary bonus program that may include an equity component.
Flexible and collaborative work culture.
Movement within the organization is encouraged.
Inclusive workplace and community assistance opportunities.