Principal AI Application Operations Engineer

GE Vernova

Principal AI operations engineer maintaining GE Vernova’s enterprise AI infrastructure, reliability, and incident response. Driving SLA/SLO governance, DevOps improvements, and cross-functional delivery.

Posted 8/21/2026full-time🇺🇸 United StatesLead💰 $137,700 - $229,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI application infrastructure management, incident management frameworks, and operational strategy formulation. Proficient in leading cross-functional teams, driving data-informed decisions, and implementing process improvements across deployment pipelines.

Highest-signal resume keywords

AI/ML Application OperationsSaaS Application Incident ManagementDevOps Lifecycle ManagementObservability Tools (Datadog, Splunk, Dynatrace)Project Management Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Incident Management Frameworks (ITIL)Software Development Lifecycle (SDLC)Agile MethodologiesCI/CD PracticesNew Product Introduction (NPI)SLA/SLO GovernanceProcess ImprovementOperational Standards EnforcementData AnalysisCloud Infrastructure (Azure, AWS, GCP)

Soft Skills

Strong Oral CommunicationStrong Written CommunicationInterpersonal SkillsLeadership SkillsProblem-Solving Ability

Tools & Technologies

AI Ops ToolingMonitoring ToolsLog Management SystemsPagerDutySupport Workstreams

Industry Keywords

AI OpsMLOpsDevSecOpsOperational JudgmentResource Planning

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformSDLCSplunk

About the role

Key responsibilities & impact

Serve as the primary operational owner for AI application infrastructure
Monitor system health and manage incident detection, escalation, and timely resolution across the DevOps lifecycle
Lead Root Cause Analysis (RCA) reviews and Push to Production meetings
Ensure readiness criteria are met, communicate risks, and track corrective actions to closure
Own and report SLA/SLO performance metrics
Provide regular dashboards to leadership and drive data-informed decisions addressing trends and service gaps
Influence operational strategy for AI applications, including resource planning, policy formulation, and tooling roadmap alignment
Monitor industry trends in AI Ops, MLOps, and DevSecOps and translate best practices into improvements
Navigate complex technical and business challenges using high-level operational judgment
Identify and implement process improvements across deployment pipelines, monitoring frameworks, and support workflows
Define and enforce operational standards, quality policies, and best practices across the AI application support team
Lead cross-functional teams and projects
Communicate complex technical concepts to technical and non-technical audiences, including senior leadership and external partners
Mentor and guide team members
Bridge development, operations, and business stakeholders to align priorities and outcomes

Requirements

What you’ll need

Minimum of a Bachelor's Degree in a relevant discipline
10+ years of relevant professional experience
Expertise in SaaS application incident management and enterprise-grade operational management
Knowledge of Software Development Lifecycle (SDLC), including Agile, DevOps, and CI/CD practices
Knowledge of New Product Introduction (NPI) processes and product roadmap rollout (push to prod)
Knowledge of incident management frameworks (e.g., ITIL) and SLA/SLO governance
AI/ML application operations or AI Ops tooling and practices
Experience with observability tools such as Datadog, Splunk, or Dynatrace and log management systems
Strong oral and written communication skills
Strong interpersonal and leadership skills
Ability to analyze and resolve problems
Ability to lead programs/projects
Ability to document, plan, market, and execute programs
Established project management skills
Hands-on familiarity with AI/ML platforms, monitoring tools, and cloud infrastructure such as Azure, AWS, or GCP
Experience establishing support through purchased services agreements and coordinating L1/L2/L3 support
Experience setting up PagerDuty rotations and support workstreams
Legally authorized to work in the United States
Successful completion of a drug screen, as applicable

Benefits

Comp & perks

Discretionary annual bonus
Medical coverage
Dental coverage
Vision coverage
Prescription drug coverage
Health Coach access
Employee Assistance Program
GE Vernova Retirement Savings Plan
Tax-advantaged 401(k) savings opportunity with company matching contributions
Company retirement contributions
Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off
Relocation assistance