Lead AI Cloud Engineer

About Northern Trust

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.

Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.

With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

Position Summary

Northern Trust is seeking an experienced AI Full Stack Cloud Engineer to design, build, deploy, and support enterprise AI solutions across the Digital Coworkers ecosystem and Generative AI Foundation Platform (GAI). This 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 leveraging cloud-native technologies, large language models, enterprise APIs, workflow automation capabilities, and Digital Coworker frameworks. The individual will work closely with AI Engineers, Cloud Engineers, Product Managers, Technical Account Managers, Architects, Scrum Masters, and business stakeholders to accelerate AI adoption and deliver measurable business value across Northern Trust.

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Primary Responsibilities

Full Stack Application Development

· 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 supporting 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.

GAI Foundation Platform & Digital Coworker Engineering

· 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.

AI Engineering & Platform Integration

· Integrate applications with Large Language Models (LLMs), Retrieval Augmented Generation (RAG) solutions, AI agents, and orchestration frameworks.

· Develop enterprise AI integrations using approved AI services and AI 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.

Cloud Engineering & Infrastructure

· Design and deploy cloud-native solutions leveraging Microsoft Azure services.

· Develop Infrastructure as Code (IaC) 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.

Engineering Excellence

· 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 effectively collaborating across multiple functions and organizations.

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Required Qualifications

· Bachelor's degree in Computer Science, Information Technology, Engineering, Software Development, or a related discipline; equivalent professional experience will be 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.

· Strong experience collaborating across engineering, architecture, operations, security, and business teams.

· Strong written and verbal communication skills.

· Ability to operate effectively in a regulated enterprise environment with governance, controls, auditability, and operational readiness expectations.

· Experience working independently while managing multiple priorities and deliverables.

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Technical Knowledge & Tools

Technical / Domain Knowledge

Delivery & Collaboration Tools

Full stack application development; cloud engineering; Azure services; Infrastructure as Code (Terraform); CI/CD; distributed systems; microservices; API development; AI/ML concepts; LLMs; RAG; AI agents; vector databases; prompt engineering; digital coworkers; workflow automation; platform integrations; enterprise security and controls.

Azure DevOps, GitHub, Jira, Confluence, Microsoft Teams, ServiceNow, Terraform, Power BI, CI/CD pipelines, monitoring platforms, release management tools, API management platforms, and operational support tooling.

Preferred Qualifications

· 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 within 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.

Leadership Competencies

Technical curiosity and continuous learning

Executive presence and concise communication

Systems thinking and architectural mindset

Strong collaboration across business and technology

Problem solving and analytical thinking

Innovation and creative solution development

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