Senior AI/ML Specialist Solutions Architect (Cloud & AI Infra)

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Requirements:

• 5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles
• Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
• Demonstrated success delivering ML products, scaling from POC to production
• Deep knowledge of ML frameworks like PyTorch and JAX
• Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
• Active involvement in the ML community (public speaking, open-source contributions, competitions like Kaggle and Hackathons)
• Exceptional communication skills to engage both technical teams and business stakeholders
• Legal authorization to work in the United States on a full-time basis without sponsorship

Responsibilities:

• Architect and optimize distributed training and inference systems for large-scale AI models
• Design and deliver customer-focused solutions that maximize performance and business value
• Lead the transition of ML pipelines from POC to scalable production systems
• Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
• Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
• Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
• Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps