Principal AI Application Operations Engineer

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

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 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)
• Experience setting up PagerDuty rotations and support workstreams

Benefits

• Medical, dental, vision, and prescription drug coverage
• Access to Health Coach from GE Vernova, a 24/7 nurse-based resource
• 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
• Tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off