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AI Operations Strategist
Skills
20 days ago
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Important information
Contract type:
Freelance / Contract
Location:
Los Angeles County, CA, USA
Work mode:
Onsite
Published on:
6 October 2026
What they need
AI Operations Strategist
Rosemead, CA | Onsite
We are seeking an experienced AI Operations Strategist to help shape enterprise AI operations strategy within a large-scale Digital Transformation organization.
This is a strategic advisory role focused on defining the target state, operating model, governance frameworks, roadmaps, and value measures required to scale reliable, observable, cost-effective AI operations across the enterprise.
Key Responsibilities:
- Define enterprise strategy and roadmaps for AIOps, AI observability, AI FinOps, and operational governance
- Establish AI operations frameworks, standards, KPIs/KRIs, maturity models, and operational-readiness criteria
- Develop strategies for AI reliability, telemetry, cost optimization, service management, and value realization
- Partner with Enterprise Architecture, Cybersecurity, AI/ML, SRE, MLOps, ITSM, Finance, and platform teams
- Evaluate technology capabilities and recommend target-state solutions and strategic investments
- Translate operational, financial, and technology insights into executive-level recommendations
- Drive cross-functional alignment around AI operations strategy, governance, roadmaps, and business value
Qualifications:
- 10+ years in enterprise technology strategy, IT operations transformation, AIOps, SRE, cloud operations, observability, or related areas
- Proven experience developing enterprise strategies, operating models, governance frameworks, and transformation roadmaps
- Strong understanding of AI/ML operations, MLOps, observability, telemetry, SRE, ITSM/ITIL, and operational resilience
- Strong knowledge of FinOps, cloud economics, cost optimization, and AI consumption models
- Experience working with enterprise cloud ecosystems such as Azure and/or GCP
- Strong executive communication, strategic thinking, and stakeholder-management skills
- Bachelor's degree in a relevant technology, engineering, business, or data discipline
Experience with AI governance, Agentic AI, Responsible AI, enterprise AI platforms, Dynatrace, Splunk, Datadog, Arize, Azure AI, or GCP Vertex AI is a plus. Utility or energy-sector experience is preferred.
If you're an enterprise technology strategist who can connect AI strategy, operational resilience, observability, cost governance, and measurable business value , we'd like to hear from you.
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