[Remote] Machine Learning Operations

Note: The job is a remote job and is open to candidates in USA. Northern Trust is seeking an AI Full Stack Cloud Engineer to design, build, deploy, and support enterprise AI solutions across its Digital Coworkers ecosystem and Generative AI Foundation Platform. The role combines full stack development, cloud engineering, AI integration, and platform engineering to deliver scalable, secure, and governed AI-powered business solutions.

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 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
• 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 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
• Design and deploy cloud-native solutions leveraging Microsoft Azure services
• Develop Infrastructure as Code (IaC) using Terraform and related automation frameworks
• Be comfortable reading, writing, and maintaining infrastructure code, including Terraform modules, pipeline configuration, and environment-specific deployment automation
• 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 effectively collaborating across multiple functions and organizations

Skills

• 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
• Comfortable working directly with infrastructure code, including Terraform, CI/CD pipeline configuration, and cloud deployment automation
• 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
• Full stack application development; cloud engineering; Azure services; Infrastructure as Code (Terraform and reusable infrastructure modules); 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
• 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
• 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
• Ownership mindset and accountability
• Influencing without authority
• Engineering excellence and quality focus
• Delivery discipline and operational readiness

Benefits

• Remote work
• Optional benefits offering includes medical, dental, vision and retirement benefits via Hiregenics.

Company Overview

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