Principal AI Application Operations Engineer

GE Vernova, Inc.; Town of Niskayuna (NY); On-site; USD 138,000 - 230,000; Full time

Benefits offered by this job

Relocation assistance

Comprehensive benefits

Job summary

GE Vernova in the United States seeks a senior operations leader to drive ongoing management of AI application infrastructure, incident response, and SLA/SLO reporting within the DevOps lifecycle.

You will lead RCA reviews, push-to-prod readiness, and dashboards for leadership while shaping operational strategy, monitoring AI Ops trends, and mentoring cross-functional teams across engineering and business stakeholders.

Qualifications

• Bachelor's degree in a relevant discipline.
• 10+ years of relevant professional experience.

Responsibilities

• Serve as the primary operational owner for AI application infrastructure, monitoring system health, managing incident detection, escalation, and timely resolution in alignment with SLA/SLO targets across the DevOps lifecycle.
• Lead RCA reviews and Push to Production meetings, ensuring readiness criteria are met, risks are communicated, and corrective actions are tracked to closure.
• Own and report on SLA/SLO performance metrics, providing regular dashboards to leadership and driving data-informed decisions to address trends and service gaps.
• Influence the development of operational strategy for AI applications, including resource planning, policy formulation, and tooling roadmap alignment.
• Proactively monitor industry trends in AI Ops, MLOps, and DevSecOps, translating emerging best practices into actionable improvements for the organization.
• Apply high-level operational judgment to navigate complex technical and business challenges, constructing well-reasoned recommendations for problems beyond standard parameters.
• Identify and implement process improvements across deployment pipelines, monitoring frameworks, and support workflows to improve reliability and efficiency.
• Champion a quality-first culture by defining and enforcing operational standards, quality policies, and best practices across the AI application support team.
• Lead cross-functional teams and projects, communicating complex technical concepts clearly to technical and non-technical audiences, including senior leadership and external partners.
• Mentor and guide team members, serving as a bridge between development, operations, and business stakeholders.

Skills

AI Ops

Datadog

Splunk

Dynatrace

CI/CD

ITIL

Cloud platforms

Root Cause Analysis

Incident management

SaaS operations

Education

Bachelor's degree

Tools

PagerDuty

Job description

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.