Principal AI Application Operations Engineer
GE Vernova
Principal AI Application Operations Engineer
GE Vernova
Builds equipment and software for electric power
Responsibilities:
Serve as theprimary operational ownerfor AI application infrastructure, monitoring system health, managing incident detection, escalation, and timely resolution in alignment with defined SLA/SLO targets across the DevOps lifecycle
LeadRoot Cause Analysis (RCA)reviews andPush to Production meetings, ensuring readiness criteria are met, risks are communicated, and corrective actions are tracked to closure
Own and report onSLA/SLO performance metrics, providing regular dashboards to leadership and driving data-informed decisions to address trends and service gaps
Influence the development ofoperational strategyfor AI applications, including resource planning, policy formulation, and tooling roadmap alignment
Proactively monitorindustry trends in AI Ops, MLOps, and DevSecOps, translating emerging best practices into actionable improvements for the organization
Applyhigh-level operational judgmentto navigate complex technical and business challenges, constructing well-reasoned recommendations for problems that extend beyond standard operating parameters
Identify and implementprocess improvementsacross deployment pipelines, monitoring frameworks, and support workflows to improve reliability, scalability, and operational efficiency
Champion aquality-first cultureby defining and enforcing operational standards, quality policies, and best practices across the AI application support team
Leadcross-functional teams and projects, communicating complex technical concepts clearly to both technical and non-technical audiences, including senior leadership and external partners
Mentor and guide team members, fostering professional growth while serving as abridge between development, operations, and business stakeholdersto ensure alignment on priorities and outcomes
Required Qualifications:
Minimum of a Bachelor's Degree in a relevant discipline
10+ years of relevant professional experience
Desired Characteristics:
Demonstrated expertise in:
SaaS application incident management and enterprise-grade operational management
Software Development Lifecycle (SDLC)including Agile, DevOps, and CI/CD practices
New Product Introduction (NPI)processes and product roadmap rollout (push to prod)
Incident management frameworks(e.g., ITIL)and SLA/SLO governance
AI/ML application operationsor AI Ops tooling and practices
Working with observability tools(e.g., Datadog, Splunk, Dynatrace)and log management systems to troubleshoot issues.
Strong oral and written communication skills. Strong interpersonal and leadership skills. Demonstrated ability to analyze and resolve problems. Demonstrated ability to lead programs / projects. Ability to document, plan, market, and execute programs. Established project management skills.
Hands-on familiarity withAI/ML platforms, monitoring tools, and cloud infrastructure(e.g., Azure, AWS, GCP)
Experiencing establishing support through purchased services agreements and coordination of L1/L2/L3 support.
Experience setting up PagerDuty rotations and support workstreams.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
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.
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