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GE Vernova

Builds equipment and software for electric power

Principal AI Application Operations Engineer

Full-TimeUpdated Deadline 11/6/26
$137.7k - $229.6k+ Discretionary annual bonus
Expert
Bachelor's
Cambridge, KS, USA+1 moreMore locations: Niskayuna, NY, USA
In PersonRelocation assistance is provided.
IT OperationsEnterprise Applications
No H1B Sponsorship

About the job

Requirements
  • A Bachelor's degree in a relevant discipline is required.
  • A minimum of 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, including Agile, DevOps, and continuous integration and continuous delivery practices.
  • Demonstrated expertise in New Product Introduction processes and product roadmap rollout to production.
  • Demonstrated expertise in incident management frameworks such as ITIL and service-level agreement/service-level objective governance.
  • Demonstrated expertise in AI/machine learning application operations or AI operations 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 skills and strong interpersonal and leadership skills.
  • Demonstrated ability to analyze and resolve problems and lead programs or projects.
  • Ability to document, plan, market, and execute programs; established project management skills.
  • Hands-on familiarity with AI/machine learning platforms, monitoring tools, and cloud infrastructure such as Azure, AWS, or GCP.
  • Experience establishing support through purchased services agreements and coordinating Level 1, Level 2, and Level 3 support.
  • Experience setting up PagerDuty rotations and support workstreams.
  • Candidates must be legally authorized to work in the United States. An offer is conditioned on successful completion of a drug screen, as applicable.
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 service-level agreement and service-level objective targets across the DevOps lifecycle.
  • Lead root cause analysis reviews and push-to-production meetings, ensure readiness criteria are met, communicate risks, and track corrective actions to closure.
  • Own and report on service-level agreement and service-level objective 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 operations, machine learning operations, and DevSecOps, translating emerging best practices into actionable organizational improvements.
  • Use high-level operational judgment to navigate complex technical and business challenges and develop well-reasoned recommendations for issues 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, foster professional growth, and bridge development, operations, and business stakeholders to align priorities and outcomes.

About the company

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, Massachusetts

Founded

2024

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Simplify's Take

What believers are saying

  • Demand supports expansion: July 2026 results show GE Vernova booked $24.2 billion of quarterly orders, up 88% organically.
  • Service commitments support recurring work: GE Vernova says services account for more than 55% of its backlog.
  • Graduates build depth through rotations: GE Vernova runs two-year Next Gen development programs in engineering, technology, and operations.

What critics are saying

  • Wind remains a drag: July 2026 results show GE Vernova lost $275 million in quarterly Wind segment EBITDA.
  • Project margins absorb overruns: GE Vernova locks prices before completion and discloses meaningful expenses from excess costs and penalties.
  • Field assignments demand long weeks: GE Vernova's listed transformer specialist works typical 12-hour site days, up to six weekly.

What makes GE Vernova unique

  • Its technology underpins global power: GE Vernova says customers generate approximately one-quarter of world electricity using its equipment.
  • Gas turbine scale anchors expertise: GE Vernova reports the largest installed fleet by generating capacity, across approximately 7,000 turbines.
  • Nuclear work reaches beyond equipment: GE Vernova Hitachi supplies advanced reactors, fuel, and services for operating plants.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Disability Insurance
  • 401(k) Retirement Plan
  • 401(k) Company Match
  • Paid Vacation
  • Paid Parental Leave
  • Mental Health Support
  • Relocation Assistance
  • Performance Bonus

Company News

Yahoo Finance
Oct 29th, 2026
GE Vernova buys Trench Group for $9B, doubles buyback to $20B as backlog hits $197B

GE Vernova agreed to buy Trench Group for $9 billion, the power equipment maker said on its third-quarter earnings call on October 28, 2026. The deal brings in-house the making of substation parts such as insulation bushings and coils for grid stability. Total order backlog grew to $197 billion. Gas power segment margins reached 21.4% of EBITDA, helped by the first 5 gigawatts of gas equipment shipments at higher prices. The company also doubled its share buyback programme from $10 billion to $20 billion. It holds $17 billion in cash and will fund the acquisition with a mix of debt and cash. Chief executive officer Scott Strazik said the company is "still in the early stages of this electricity investment super cycle.

AOL
Oct 28th, 2026
GE Vernova to buy Trench Group from Triton Partners for $9B

GE Vernova will buy high-voltage grid equipment maker Trench Group from investment firm Triton Partners in a $9 billion deal, the power equipment maker said on Wednesday. It aims to expand its electrification business and tap surging investment in power grids. The acquisition will add manufacturing capacity and widen GE Vernova's reach across North America, Europe, and Asia. It also gives the company access to Trench's backlog and framework agreements worth about $5 billion. GE Vernova expects to pay half in cash and half in debt, and to close the deal in late 2027. Separately, it raised its full-year revenue forecast for a third consecutive time, to $46.5 billion to $47.5 billion from $45.5 billion to $46.5 billion.

Yahoo Finance
Oct 24th, 2026
Venture Global's 16 gas power units deal ties GE Vernova deeper into AI data centre power

Venture Global has signed multi-year frame agreements with GE Vernova and Baker Hughes for up to 16 new gas-fired power island units, each rated at 720MW, plus grid equipment. The units will supply behind-the-meter power for its LNG facilities and potential AI data centres without drawing on public grids. The deal ties GE Vernova's gas turbines and grid hardware to privately controlled industrial networks rather than regulated utilities. It deepens the company's exposure to energy-hungry AI computing. GE Vernova expects 125GW under contract by 2026. Risks include weaker European demand, wind losses, tariffs, restructuring costs, and project delays. Analysts' bullish case sees 2029 revenue of $64.7 billion and earnings of $10.7 billion. A more cautious view puts them at $57.8 billion and $6.3 billion.

Yahoo Finance
Oct 22nd, 2026
GE Vernova Q3 preview: $176B backlog and 145% expected EPS growth ahead of October 28 report

GE Vernova will report third-quarter 2026 results on October 28. Analysts expect earnings of $4.03 per share, up more than 145% from a year earlier. In the second quarter, equipment orders more than doubled and service orders rose 15%. Total backlog climbed to $176 billion. For the third quarter, the company expects Power segment revenue growth of 17%–19% and an EBITDA margin of about 17%–18%, up from 13.3% a year earlier. Electrification revenue is forecast at $3.8 billion–$4.0 billion. The stock is about 26% below its 52-week high, which has eased valuation concerns. Most analysts rate it a "Strong Buy.

Yahoo Finance
Oct 22nd, 2026
GE Vernova up 600% since spin-off, with a $176B backlog: is the dip a buying chance?

GE Vernova's shares have risen nearly 600% since the company was spun off from GE Aerospace in 2024, driven by demand for electricity from artificial intelligence data centres. The stock has been in a lull since April. In the second quarter, its power division's revenue grew 14% to $5.5 billion, while new orders rose 134% to $16.7 billion, mostly for natural gas turbines. Its electrification arm's revenue climbed 68% to $3.6 billion, with orders up 93% to more than $6.3 billion. Total backlog stands at $176 billion, more than three times next year's expected revenue of $53 billion. Manufacturing capacity is the main bottleneck. About 80% of customers are traditional, and 20% are data centres. Most analysts rate the stock a strong buy, with a consensus price target of $1,199.47.