Technical Competencies

• AI Infrastructure: Deep, current understanding of GPU and accelerator architectures (NVIDIA H100/H200/B200/GB200, AMD MI300, AWS Trainium, Google TPU), AI networking fabrics (InfiniBand, RoCE, NVLink/NVSwitch, Ethernet AI fabrics), parallel storage (Weka, VAST, Lustre, DDN), large-cluster training and inference design, and high-density power and liquid-cooling considerations.
• Foundation Models & GenAI: Working knowledge of foundation-model pretraining and post-training, fine-tuning, RLHF, retrieval-augmented generation (RAG), agentic AI systems, evaluation tooling, and the trade-offs between proprietary, open-weight, and customer-trained models.
• AI Inference & Serving: Familiarity with modern inference platforms and frameworks (vLLM, TensorRT-LLM, SGLang, Triton Inference Server) and the architectural trade-offs around latency, throughput, cost, and multi-tenancy at scale.
• AI-Ready Architectures: Ability to design AI-ready architectures and integrate AI-driven solutions across the customer's estate to enhance decision-making, productivity, and operational efficiency.
• Hybrid and Multi-Cloud AI: Comfort designing across owned, colocated, hyperscaler, and neocloud (CoreWeave, Lambda, Crusoe, Nebius) environments to balance AI performance, capacity, cost, sovereignty, and compliance.
• AI Data & Platforms: Strong fluency in modern data architecture for AI — including data engineering and pipelines, lakehouses, vector databases, feature stores, and MLOps/LLMOps tooling.
• Security & Governance: Advisory experience around the security posture that underpins AI, data, and digital initiatives — including model-weight protection, secure multi-tenancy, supply-chain integrity, responsible-AI guardrails, and the broader controls needed to keep customer environments resilient and compliant.
• Service Provider and Cloud Provider Context: Solid grounding in the operational realities of Service Provider and Cloud Provider customers — including software-defined infrastructure, automation, and the unique demands these customers place on AI infrastructure and platforms.
• Modern AI Engineering Practices: Familiar with MLOps/LLMOps, agile delivery, and continuous integration of AI models and pipelines.

Leadership & Business Competencies

• Strong interpersonal, presentation, and negotiating skills.
• Excellent communication, analytic, and problem-solving skills.
• Executive communication: Equally comfortable presenting a technical architecture and a strategic business case to a board-level audience.
• Sound business acumen and executive presence.
• Proven track record of working with subject matter experts, consultants, professional services, IT, operations, and others over the technology lifecycle to maximize ROI/TCO.
• Cross-functional leadership: Skilled at aligning internal teams (account executives, practice leaders, professional services, vendor partners) around a shared customer strategy.
• Strong ability to think creatively and strategically.
• Experience mediating and negotiating with individuals and groups internally and externally by keeping colleagues updated on activities and forecasting.
• Proven collaborative approach; openly sharing information and receptive to the ideas of others.
• Exceptional leadership and team-building skills with the ability to direct, motivate, and empower teams through a persuasive and credible thought process and presentation skills.
• Foster a culture of continuous skill development and strategic alignment with business goals to address talent retention and skills gaps.
• Focus on sustainability and green technology, incorporating energy-efficient practices in digital strategies.

Compensation & Benefits

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $175,000 to $225,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. We offer the following benefits to all full-time employees:

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
• Financial Benefits: Compe