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GE Vernova

Builds equipment and software for electric power

Principal AI Application Operations Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Bachelor's degree in a relevant discipline is required.
  • At least 10 years of relevant professional experience is required.
  • Demonstrated expertise in SaaS application incident management and enterprise-grade operational management.
  • Demonstrated expertise in the Software Development Lifecycle (SDLC), including Agile, DevOps, and continuous integration and continuous delivery (CI/CD) practices.
  • Demonstrated expertise in New Product Introduction (NPI) processes and product roadmap rollout to production.
  • Demonstrated expertise in incident management frameworks such as ITIL and SLA/SLO governance.
  • Demonstrated expertise in AI/ML application operations or AI Ops tooling and practices.
  • Demonstrated expertise working with observability tools such as Datadog, Splunk, and Dynatrace, and log management systems to troubleshoot issues.
  • Strong oral and written communication, interpersonal, and leadership skills.
  • Ability to analyze and resolve problems, lead programs and projects, 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, and GCP.
  • Experience establishing support through purchased services agreements and coordinating L1/L2/L3 support.
  • Experience setting up PagerDuty rotations and support workstreams.

Responsibilities

  • Serve as the primary operational owner for AI application infrastructure, monitor system health, and manage incident detection, escalation, and timely resolution in alignment with defined SLA/SLO targets 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 on SLA/SLO performance metrics, provide regular dashboards to leadership, and drive data-informed decisions to address 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 emerging best practices into actionable organizational improvements.
  • Use high-level operational judgment to navigate complex technical and business challenges and make well-reasoned recommendations on problems beyond standard operating parameters.
  • Identify and implement process improvements across deployment pipelines, monitoring frameworks, and support workflows to improve reliability, scalability, and operational efficiency.
  • Define and enforce operational standards, quality policies, and best practices across the AI application support team.
  • Lead cross-functional teams and projects, communicating complex technical concepts to technical and non-technical audiences, including senior leadership and external partners.
  • Mentor and guide team members and bridge development, operations, and business stakeholders to align priorities and outcomes.

About the Company

GE Vernova

Builds equipment and software for electric power

GE Vernova makes equipment and software that generate and manage electricity for utilities, power producers, and industrial customers. Its Power, Wind, and Electrification businesses span gas turbines, wind generation, and the systems that move electricity across grids. The company supplies generators, grid equipment, and controls, while its software coordinates network operations and integrates changing sources of power. Customers buy equipment and enter service agreements for maintenance, upgrades, and technical support over its operating life, alongside purchases of software and related services. GE Vernova became an independent company in 2024 after separating from GE and is headquartered in Cambridge, Massachusetts.

Company size
10,001+
Company stage
N/A
Total funding
$17.6M
Headquarters
Cambridge, MA
Founded
2024

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