Principal AI Application Operations Engineer

GE Vernova

Niskayuna, United States

Full Time

Posted August 21, 2026

$138k - $138k

Power Generation

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Listing evidence and provenance

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 4, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Employer-provided pay

Job Description

Responsible to drive ongoing management/maintenance of all Digital infrastructure, products, services & ops ensuring business continuity, capacity management, incident response & help desk mgmt.

Key Responsibilities

Serve as the primary operational owner for AI application infrastructure, monitoring system health, managing incident detection, escalation, and timely resolution in alignment with defined SLA/SLO targets across the DevOps lifecycle
Lead Root Cause Analysis (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 that extend beyond standard operating parameters
Identify and implement process improvements across deployment pipelines, monitoring frameworks, and support workflows to improve reliability, scalability, and operational 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 both technical and non-technical audiences, including senior leadership and external partners
Mentor and guide team members, fostering professional growth while serving as a bridge between development, operations, and business stakeholders to ensure alignment on priorities and outcomes

Requirements

Minimum of a Bachelor's Degree in a relevant discipline
10+ years of relevant professional experience
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 operations or 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 with AI/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 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).