Project Overview:The Lead AI Platform Engineer / GAI Platform Operations Lead is the senior technical resource accountable for the operational reliability, productionization, optimization, and continuous improvement of the enterprise Generative AI platform. Contractor’s Role: The role leads advanced platform support, cloud infrastructure operations, application and TLA onboarding, DevOps automation, performance engineering, incident resolution, and coordination across technical and business teams.Qualifications:• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field, or equivalent practical experience.• 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.Nice to Haves: • 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.Core Technical Capabilities:• Generative AI and AI/ML platform operations• Microsoft Azure cloud services and hosted application environments• Azure DevOps, CI/CD pipelines, and automated infrastructure provisioning• ServiceNow or equivalent enterprise service-management tooling• Monitoring, logging, diagnostics, performance testing, and root cause analysis• Production support, release management, operational resilience, and technical documentationExpected Deliverables:• Stable and supportable GAI platform services across lower and production environments.• Repeatable application and TLA onboarding processes and supporting documentation.• Completed incident resolutions, root cause analyses, and corrective/preventive action tracking.• Maintained monitoring, performance-testing, runbook, playbook, troubleshooting, and operational documentation.• Automation and resilience improvements that reduce manual effort and recurring production incidents.Performance and Success Measures:• Platform availability, reliability, and production stability.• Resolution of escalated incidents within applicable service expectations and SLAs.• Quality and timeliness of root cause analysis, corrective actions, and stakeholder communications.• Effectiveness of onboarding, automation, monitoring, and operational-maturity improvements.• Reduction of recurring incidents, manual support effort, and avoidable escalations.Working Relationships:• Collaborate with GAI platform engineering, application delivery, cloud infrastructure, cybersecurity, service management, and business stakeholder teams.• Coordinate with third-party providers and distributed onsite/offshore support resources as required.Governance and Control Expectations• Follow applicable Northern Trust SDLC, security, change-management, incident-management, access-control, and documentation requirements.• Use designated systems for issue logging, tracking, knowledge management, and closure.• Maintain accurate, timely, and audit-ready operational records and stakeholder communications.Tasks & 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.
Business Justification/Impact if not approved:This role is required to provide senior Level 3 engineering and operational ownership for Northern Trust’s enterprise Generative AI platform as GAI applications and Digital Coworker capabilities continue to expand into production. The Lead AI Platform Engineer / GAI Platform Operations Lead will provide the advanced technical expertise needed to maintain platform stability and reliability, resolve complex production incidents, support application and TLA onboarding, manage Azure infrastructure and DevOps processes, strengthen monitoring and performance management, and increase automation. The role will also provide technical escalation and guidance to L1/L2 GAI Operations resources while coordinating across platform engineering, cloud infrastructure, cybersecurity, application teams, and service providers. This capability is necessary to reduce production and operational risk, improve service reliability, standardize and accelerate onboarding, reduce recurring incidents and manual support effort, and establish a scalable, controlled, and supportable operating model as adoption of Generative AI and Digital Coworkers grows across the organizationBUCIO: Tom JacksonPRJ: PendingCapital/Expense: CapitalIs this for Regulatory (Y/N): NIf Yes, what is it for: N/ACurrent comp of team: 0 FTEs and 0 ContractorsStart Date: 12/7/2026End Date: 10/29/2027Estimated Cost: $345,685.71PPM: Y
Contacts: Hiring manager: GER5 MSP contact: Sophie Kohyar - SVK87@ntrs.com
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $7.25/hr - $80.00/hr.
