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GE Vernova

Builds equipment and software for electric power

Principal AI Application Operations Engineer

Full-TimeDeadline 11/6/26
$137.7k - $229.6k/yr+ Discretionary annual bonus
Expert
Bachelor's
Cambridge, MA, USA+1 moreMore locations: Niskayuna, NY, USA
In PersonRelocation assistance is provided.
DevOps & InfrastructureSite Reliability Engineering

About the job

Requirements
  • A Bachelor's Degree in a relevant discipline is required.
  • At least 10 years of relevant professional experience is required.
  • Expertise in SaaS application incident management and enterprise-grade operational management is desired.
  • Expertise in the Software Development Lifecycle, including Agile, DevOps, and continuous integration and continuous delivery practices, is desired.
  • Expertise in New Product Introduction processes and product roadmap rollout is desired.
  • Expertise in incident management frameworks such as ITIL and SLA/SLO governance is desired.
  • Expertise in AI/ML application operations or AI Ops tooling and practices is desired.
  • Experience with observability tools such as Datadog, Splunk, and Dynatrace and log management systems is desired.
  • Strong oral and written communication skills are desired.
  • Strong interpersonal and leadership skills are desired.
  • The ability to analyze and resolve problems is desired.
  • The ability to lead programs and projects is desired.
  • The ability to document, plan, market, and execute programs is desired.
  • Established project management skills are desired.
  • Hands-on familiarity with AI/ML platforms, monitoring tools, and cloud infrastructure such as Azure, AWS, and GCP is desired.
  • Experience establishing support through purchased service agreements and coordinating L1, L2, and L3 support is desired.
  • Experience setting up PagerDuty rotations and support workstreams is desired.
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 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 addressing trends and service gaps.
  • Influence the 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.
  • Apply high-level operational judgment to navigate complex technical and business challenges and construct recommendations for 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 and communicate complex technical concepts to technical and non-technical audiences, including senior leadership and external partners.
  • Mentor and guide team members while bridging 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 8th, 2026
Cramer tips GE Vernova and Vertiv as data center plays missing from jobs report

Jim Cramer highlighted GE Vernova and Vertiv on 2 October, noting their exposure to data centre growth. He questioned why the jobs report didn't reflect the data centre buildout, suggesting commercial construction is weak whilst data centre projects remain strong. Vertiv's Q2 net sales grew 24% annually, with operating profit up 44%. However, revenue growth of 17.8% missed analyst estimates of 23.6% due to supply chain issues, raising concerns about backlog conversion. The company's capital expenditure surged 285% to $173 million. GE Vernova's shares have risen over 240% since October 2024. Q2 customer downpayments generated a $6.4 billion working capital benefit, pushing free cash flow up 2,532% to $5.1 billion. The company raised its full-year cash flow guidance to $11.5–$12.5 billion from $6.5–$7.5 billion.

Yahoo Finance
Oct 7th, 2026
GE Vernova stock soars 600% in two years, eyes 300% growth by 2032

General Electric spun off its energy division as GE Vernova on 2 April 2024. The stock opened at $142.25 per share and reached a record high of $1,174.86 on 30 June 2026, now trading at about $1,000. GE Vernova operates three segments: Power, Electrification, and Wind. Strong demand from cloud and AI markets drove growth in its Power and Electrification businesses, whilst the Wind segment faced operational challenges. The company's backlog grew 37% year-over-year to $176.3 billion at the end of Q2 2026. Analysts expect revenue and adjusted EBITDA to grow at compound annual growth rates of 17% and 60% respectively from 2025 to 2028. GE Vernova trades at 27 times next year's adjusted EBITDA, with an enterprise value of $262 billion.

Yahoo Finance
Sep 29th, 2026
GE Vernova orders surge 68% as AI data centres drive power demand

GE Vernova, General Electric's former energy division spun off in 2024, is positioned to benefit from surging power demands at AI data centres. The company operates three segments: Power (55% of 2025 orders), Electrification (33%), and Wind (13%), providing turbines, transformers, and grid services. Orders grew 24% organically in the first half of 2026, driven by Power and Electrification segments. By Q2 2026, GE Vernova's backlog reached $176.3 billion — 4.6 times its 2025 revenue of $38.1 billion. The company expects 2026 revenue to grow 20-22%, accelerating from 9% growth in 2025 and 5% in 2024. Fortune Business Insights projects the global AI in power utilities market could expand at a 19.3% compound annual growth rate from 2026 to 2034.

Yahoo Finance
Sep 24th, 2026
GE Vernova, Hitachi, and Samsung partner to deploy small modular reactors across Europe

Four major engineering firms have signed a memorandum of understanding to cooperate on building and deploying small modular reactors (SMRs) in Europe. GE Vernova, Hitachi, Samsung C&T, and Poland-based SGE will work together on market development and commercial opportunities for the BWRX-300, an SMR developed by GE Vernova and Hitachi subsidiaries. The agreement was signed during the Atlantic Council Nuclear Energy Policy Summit at the UN General Assembly in New York. SMRs are smaller-scale, plug-and-play nuclear generators that are cheaper and quicker to construct than traditional nuclear plants. They use low-enriched uranium that can be sourced entirely from western enrichment providers. The initiative has government backing from the US, Japan, and South Korea, supported by a trilateral agreement signed at the recent NATO summit.

Yahoo Finance
Sep 23rd, 2026
GE Vernova shares down 20% from high as AI power demand and nuclear SMR development drive long-term growth potential

GE Vernova shares have fallen 20.8% from their 52-week high of $1,195.94, closing at $946.22 on 21 September. Despite the pullback, the stock remains up 47% over the past year. The company reported strong second-quarter results, with orders of $24.2 billion, up 88% organically year-on-year. Revenue reached $11.1 billion, up 22%, whilst net income for the first six months totalled $5.3 billion, compared with $756 million in the prior-year period. GE Vernova is positioned to benefit from surging power demand driven by artificial intelligence data centres. The company also has a nuclear energy division developing small modular reactors through a joint venture with Hitachi, with commercial operation expected by the end of 2030. The company faces challenges including a forward price-to-earnings ratio of 38.1 and declining wind division sales.