• Act as a trusted technical advisor for your accounts and partners, with a focus on AI/ML and GPU-based workloads • Collaborate with Account Managers, Technical Account Managers, and Partners to develop success plans aligned to business goals • Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs • Lead technical deep dives, workshops, proof-of-concepts, and executive briefings to accelerate adoption • Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models • Optimize AI/ML workloads using tools like CUDA, TensorRT, vllm, and quantization methods (INT4, INT8, FP8) • Educate customers to build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes, NFS, and databases • Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines • Troubleshoot complex technical challenges in partnership with Engineering, Support, and Product teams • Provide customer feedback to shape product roadmaps and enhance platform capabilities • Support workload expansion, retention, and long-term partnership growth through proactive technical engagement