Hiring: Chief Technology Advisor - Global Service Provider Company: World Wide Technology Location: California, United States Job Posted Time: 2026-09-10 10:38:08 Employment Type: Full-time / Hybrid Target Skills & Keywords : AWS, Accessibility, Agile, Digital Transformation, Feature Store, Fine-tuning, LLM, Lambda, MLOps, RAG, TensorRT, Triton, vLLM About the job Required Skills: •Lead Executive/Sr. level meetings with customers to gain a detailed understanding of their technical and business needs. •Develop transformational GSP industry specific solutions and roadmaps across AI, digital, data, security, and broader technology initiatives that enable our customers to achieve best-in-class performance, reliability, security, and responsible-use posture, while adhering to industry-standard architectural principles. •Demonstrate WWT's AI value proposition and differentiation effectively to technical and business audiences — including the AI Proving Ground, ATC AI labs, and WWT's end-to-end AI services portfolio. •Develop a thorough understanding of WWT's Advanced Technology Center (ATC), AI Proving Ground, and North American Integration Center (NAIC) — building effective working relationships with leaders in these areas to represent the full WWT AI value proposition to customers. •Work closely with the AI/Data practice, Management Consulting, implementation, and project teams to ensure smooth transitions from AI strategy and sales into delivery. •Provide accurate and timely management information such as activity reports, bid reviews, and project forecasts that adhere to WWT's quality and business processes. •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. Qualifications: •Participate in industry, product, sales, and procedural training as needed to maintain the knowledge and certifications necessary to be effective. Compensation: •$175,000 - $225,000 / year •Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!