1,979,209open jobs
116,730companies
262,011added this week
Browse all
Salary
$138k – $230k per year
Location
In office (United States, Cambridge)
Seniority
Principal · 10+ years exp
Visa
H-1B filings in 12 months: 44 · for this role: 8
Employment
Full-Time

First seen by Alion on Aug 21, 2026. GE Vernova scores B on the Alion truth index.

Overview
Company
Impact
Profile match
GE Vernova is an American energy company created in April 2024 when General Electric split into three, taking the power, wind and electrification businesses. It builds and services gas turbines that generate a substantial share of the world's electricity, onshore and offshore wind turbines, grid equipment including transformers and high-voltage transmission, and nuclear technology through GE Hitachi and its BWRX-300 small modular reactor. Headquartered in Cambridge, Massachusetts, the company sits at the centre of two simultaneous demand shocks: the electrification of transport and industry, and the electricity requirements of large-scale artificial intelligence data centres.

Job Description Summary

Responsible to drive ongoing management/maintenance of all Digital infrastructure, products, services & ops ensuring business continuity, capacity management, incident response & help desk mgmt. Impacts the team's ability to achieve service, quality and timeliness of objectives. The role carries high levels of operational judgment and accountability, balancing autonomy with alignment to operating policy objectives. Key responsibilities span capacity management, incident response, help desk management, and software quality improvement with a direct impact on the team's ability to deliver services that meet defined standards of quality, timeliness, and business value.

Job Description

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

For candidates applying to a U.S. based position, the pay range for this position is between $137,700.00 and $229,600.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on August 21, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,979,209 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Cambridge
≈ $191k – $384k per year (Estimated) • In office • Full-Time • San Francisco
Python
Go
Rust
TypeScript
Databases
PostgreSQL
Snowflake
Databricks
Apache Kafka
Google BigQuery
AI/ML
Spark
dbt
AI Agents
LLM
Feature Store
Human-in-the-Loop
DevOps
Azure
AWS
Amazon S3
Management
Intercom
QuickBooks
Apply
≈ $122k – $251k per year (Estimated) • In office • 5+ years exp • Plano
Python
Java
Databases
PostgreSQL
AI/ML
Copilot
Claude
Scikit-learn
AI Agents
TensorFlow
PyTorch
LLM
Hugging Face
LLM Guardrails
DevOps
Rest API
GCP
Helm
Azure
CI/CD
AWS
Docker
Kubernetes
Service Mesh
Amazon EKS
Amazon ECS
Management
Agile
Apply
≈ $129k – $277k per year (Estimated) • In office • 5+ years exp • Columbus
AI/ML
AI Agents
Agentic Workflows
Analytics
Tableau
Management
Confluence
Jira
Agile
Scrum
Kanban
Apply
$181k – $285k per year • In office • Tempe
MedTech
Verification & Validation
Defense
EVMS
Apply
$174k – $218k per year • In office • TS/SCI • Full-Time • 8+ years exp • Bachelor's Degree • McLean
AI/ML
Reinforcement Learning
AI Agents
LLM
Multi-Agent Systems
Machine Learning
Apply
≈ $102k – $205k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Naples
Python
Go
JavaScript
Java
Node JS
Scala
Databases
NATS
Apache Kafka
DevOps
GCP
Helm
Kustomize
Azure
AWS
Docker
Kubernetes
Grafana
Incident Management
Management
Agile
Apply
≈ $16k – $30k per year (Estimated) • In office • 5+ years exp • Jakarta
AI/ML
Machine Learning
DevOps
GCP
Marketing
HubSpot
Apply
≈ $51k – $115k per year (Estimated) • Remote (LATAM) • 5+ years exp • Córdoba
Python
SQL
Python
Flask
FastAPI
Databases
Redis
Firestore
Google BigQuery
DevOps
Rest API
Terraform
GCP
New Relic
Kubernetes
Google Cloud Run
Analytics
A/B Testing
Apply
≈ $50k – $114k per year (Estimated) • Remote (Argentina) • 8+ years exp • Córdoba
Python
JavaScript
TypeScript
Node JS
Python
FastAPI
Node JS
Fastify
Databases
PostgreSQL
AI/ML
Copilot
Cursor
Claude Code
AI Agents
LLM
Agentic Workflows
Frontend
Webpack
Tailwind CSS
React.js
Vite
Radix UI
Storybook
Zod
shadcn/ui
Rspack
pnpm
React Hook Form
React Router
DevOps
Rest API
GCP
CI/CD
Docker
QA
Vitest
Apply
≈ $40k – $105k per year (Estimated) • Remote (LATAM) • 10+ years exp • Córdoba
Python
Go
SQL
AI/ML
AI Agents
DevOps
Rest API
GCP
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Platform Engineering
IAM
Cybersecurity
Okta
Crowdstrike
Zscaler
Microsoft Defender
Zero Trust
Microsoft Entra ID
Active Directory
SIEM
Apply
$104k – $173k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • Niskayuna
AI/ML
Computer Vision
Apply
$89k – $149k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Niskayuna
Python
C++
MATLAB
MATLAB
Simscape
AI/ML
Computer Vision
Machine Learning
Robotics
Motion Planning
Design
SolidWorks
Apply
$52k – $104k per year • In office • Confidential • Internship • High School Diploma • Niskayuna
Apply
AI Engineer 1 month ago
$70k – $106k per year • In office • Full-Time • Bachelor's Degree • United States
Python
SQL
AI/ML
LangChain
MLFlow
Scikit-learn
Prompt Engineering
AI Agents
Semantic Kernel
TensorFlow
PyTorch
RAG
Hugging Face
Machine Learning
DevOps
Rest API
CI/CD
Git
Docker
Kubernetes
Apply
$89k – $149k per year • In office • Full-Time • 3+ years exp • Master's Degree • Niskayuna
MATLAB
MATLAB
Simulink
AI/ML
Machine Learning
Energy
PSCAD
OpenDSS
Apply
$180k – $256k per year • In office • San Francisco • London • Cambridge
AI/ML
Red Teaming
Interpretability
Cybersecurity
Threat Modeling
Apply
Senior Accountant 8 hours ago
$95k – $119k per year • Hybrid • Full-Time • 4+ years exp • Bachelor's Degree • Cambridge
Analytics
Microsoft Excel
Apply
$244k – $336k per year • Hybrid • Full-Time • 5+ years exp • PhD • Cambridge
Apply
≈ $134k – $279k per year (Estimated) • In office • 6+ years exp • Master's Degree • Cambridge
Python
AI/ML
Scikit-learn
TensorFlow
PyTorch
Machine Learning
Apply
$143k – $257k per year • Equity • In office • Nationals only • Full-Time • 7+ years exp • PhD • Cambridge
Life Sciences
Antibody Engineering
Apply
See all jobs
This is one of many
1,979,209 more open roles from verified company boards, updated every day.