WE ARE HIRING: AI OPERATIONS STRATEGIST | AIOps | AI FinOps | Azure
Location: Rosemead, CA
Work Mode: Onsite
Job Type: Contract
Duration: 6 Months
Role: AI Operations Strategist
We are seeking an experienced AI Operations Strategist to define enterprise-wide strategies for AIOps, AI observability, AI FinOps, operational governance, and AI value realization.
The ideal candidate will bring strong expertise in enterprise technology strategy, AI/ML operations, cloud economics, operational resilience, and cross-functional leadership.
Required Skills & Qualifications
10+ years of experience in enterprise technology strategy, IT operations transformation, AIOps, SRE, or cloud operations
Enterprise AI strategy, operating models, and capability roadmaps
AI/ML operations, MLOps, and model observability
AI observability, telemetry, monitoring, and operational KPIs
AI FinOps, cloud economics, cost optimization, and forecasting
Microsoft Azure and Google Cloud Platform (Google Cloud Platform)
ITSM/ITIL, SRE, SLA/SLO/XLA, and incident management
Enterprise governance, risk management, and operational resilience
Executive communication and stakeholder management
Strategic planning, transformation roadmaps, and value realization
Key Responsibilities
• Define enterprise AIOps strategy, operating models, and multi-year roadmaps
• Establish AI observability frameworks, standards, KPIs, and risk indicators
• Develop AI FinOps strategies for cost transparency, allocation, forecasting, and optimization
• Define governance frameworks and operational-readiness standards for AI solutions
• Establish metrics for AI reliability, adoption, ROI, and business value
• Align AI Office, Enterprise Architecture, Cybersecurity, Finance, MLOps, and IT Operations teams
• Evaluate technology capabilities and recommend scalable enterprise solutions
• Present strategic recommendations, maturity assessments, and investment priorities to executive stakeholders
Preferred Qualifications
Experience with Dynatrace, Splunk, Datadog, Arize AI, Azure AI, or Google Vertex AI
Certifications in FinOps, ITIL 4, Cloud, AI/ML, SRE, or Enterprise Architecture
Knowledge of Agentic AI, Responsible AI, and AI lifecycle governance
Experience in large-scale enterprise AI transformation programs
Utility or energy-sector experience
This role is ideal for professionals who combine AI operations strategy, cloud cost governance, observability, and executive-level transformation leadership.
Interested candidates: Please share your updated resume via DM.
Note: This is an onsite contract opportunity in Rosemead, California.
