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

5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience
Deep expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face
Experience deploying and fine-tuning LLMs (DeepSeek, Llama, Claude, GPT-4) and GenAI models
Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques (CUDA, TensorRT)
Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment
Familiarity with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud-native practices
Excellent communication skills, comfortable engaging and presenting to both engineers and executives
Proven ability to lead complex technical engagements from discovery and solution design to post-deployment success
Strong consultative approach, capable of identifying customer needs and crafting tailored cloud solutions that align with business objectives

Senior Solutions Architect – AI/ML

Key skills