Lead AI Cloud Engineer

Northern Trust•Chicago, IL

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 successful candidate 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 engineer will work 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 Digital Coworkers across Transfer Agency, Reconciliation, Omnium, and future AI initiatives, and contributes to production readiness, reliability, governance, and continuous engineering improvement. Applicants must be authorized to work in the United States without employment-based visa sponsorship.

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.
Authorization to work in the U.S. without 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 and scalable user experiences for AI-driven products and workflow automation.
Participate in architecture reviews, code reviews, and technical design discussions.
Build AI-powered business solutions using the Generative AI Foundation Platform and support Digital Coworkers across business domains.
Integrate AI services, enterprise APIs, workflow orchestration platforms, and cloud-native services.
Support production deployment, monitoring, scalability, reliability, and operational readiness.
Integrate applications with LLMs, RAG solutions, AI agents, and orchestration frameworks.
Support AI lifecycle activities, including testing, deployment, monitoring, governance, and operational readiness.
Contribute to responsible AI and enterprise AI governance initiatives and identify opportunities for AI-enabled transformation.
Design and deploy cloud-native solutions using Microsoft Azure services.
Develop infrastructure as code using Terraform and related automation frameworks.
Build and maintain CI/CD pipelines for enterprise application delivery.
Implement monitoring, logging, resiliency, and performance optimization practices while following 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 and collaborate across multiple functions and organizations.