Senior AI Ops & Reliability 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

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.