[Remote] Lead AI Platform Engineer

Note: The job is a remote job and is open to candidates in USA. Northern Trust is seeking a Lead AI Platform Engineer to ensure the reliability, productionization, optimization, and continuous improvement of its enterprise Generative AI platform. The role leads platform operations, onboarding, DevOps automation, performance engineering, incident resolution, and coordination across technical and business teams.

Responsibilities

• Lead deployment, management, and optimization of GAI platform resources across non-production and production environments
• Own Level 3 investigation and resolution of complex platform, application, infrastructure, access, deployment, integration, and performance issues within agreed service expectations
• Develop and mature repeatable platform onboarding processes for applications and TLAs, including readiness, access, infrastructure, deployment, and upstream/downstream integration dependencies
• Coordinate with delivery teams, cloud infrastructure, security, application teams, and service providers to support smooth execution and service restoration
• Establish continuous monitoring, logging, performance testing, capacity analysis, and proactive issue identification for deployed infrastructure and applications
• Analyze platform and application logs, identify root causes, and direct corrective and preventive actions through closure
• Lead support for DevOps pipelines, automated infrastructure provisioning, release activities, configuration, patching, maintenance, and productionization
• Act on incidents, requests, defects, and problem records in accordance with defined escalation processes and SLAs
• Create and maintain technical standards, runbooks, playbooks, troubleshooting guides, onboarding procedures, and operational knowledge
• Identify and implement opportunities to strengthen resilience, reduce production incidents, decrease manual effort, and increase automation
• Provide clear stakeholder communications regarding service status, incident progress, risks, dependencies, SLA performance, and required actions
• Demonstrate a self-starter mindset by proactively identifying, owning, and driving work through completion with limited oversight
• Think in systems by understanding complex processes, recognizing cross-functional dependencies, and solving interconnected problems across platform, application, infrastructure, and operational domains
• Provide technical direction and escalation support to L1/L2 GAI Operations Support Engineers

Skills

• Advanced experience supporting enterprise AI/ML, Generative AI, cloud, platform engineering, or production application environments
• Hands-on experience with Azure cloud services, application hosting, monitoring, logging, and production support practices
• Experience with incident, problem, change, release, and service-request management in an enterprise environment
• Experience supporting CI/CD pipelines, automated infrastructure provisioning, and deployment processes
• Demonstrated ability to lead complex troubleshooting, root cause analysis, technical coordination, and service restoration
• Strong written communication, operational documentation, stakeholder management, prioritization, and escalation-management skills
• Experience with Generative AI platforms, LLMOps, MLOps, model-serving environments, or shared enterprise AI services
• Experience onboarding enterprise applications or TLAs to a common platform
• Knowledge of Infrastructure as Code, cloud-native architecture, observability, resiliency, and performance engineering
• Experience guiding distributed onsite and offshore support resources
• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field, or equivalent practical experience

Benefits

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

Company Overview

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