Title:AI/ML Operations
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.
