GenAI Solution Architect - Video, Image & Multimodal GenaAI (AIGC) - (Chinese Speaker)

Role Overview

Solution and Sales Responsibilities

• Identify, qualify, and shape Video, Image, and Multimodal GenAI opportunities with regional Sales teams.
• Translate creative and business requirements for stakeholders ranging from C-level leaders to engineering teams.
• Design and deliver text, image, and video generation solutions with brand consistency and VLM semantic-analysis workflows.
• Architect production-grade pipelines using diffusion models, VLMs, LoRA or adapter fine-tuning, ComfyUI, and custom orchestrators.
• Develop agentic workflows with intent interpretation, generation and analysis, retries, and human-in-the-loop approvals.
• Advise on model trade-offs, cost and latency optimization, IP protection, content safety, and watermarking.
• Own AIGC proofs of concept, translate feedback into platform requirements, influence roadmaps, and support post-sales success.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience with 5 or more years in a Solutions Architect, Pre-Sales Engineer, or similar customer-facing technical role.
• Hands-on experience delivering image, video, or multimodal GenAI systems in real-world or production environments.
• Strong background in cloud platforms, GPU workloads, and distributed systems.
• Experience supporting enterprise customers across the Middle East and Africa and United States regions.
• Ability to work in fast-moving, ambiguous environments and exercise strong technical and business judgment.
• Chinese proficiency is required for managing Chinese-speaking clients and partners.

Preferred Qualifications

• Computer Science or Engineering degree with deep expertise in diffusion models, VLMs, and prompt engineering or chaining.
• Experience building agentic GenAI workflows with orchestration platforms such as n8n, including tool calling and stateful workflows.
• Experience with multi-stage creative workflows, GPU inference optimization, and quality, latency, and cost trade-offs.
• Experience with customers in media, entertainment, advertising, gaming, ecommerce, and social platforms.
• Background in AIGC, VLM-driven, or AI infrastructure solution architecture.
• Understanding of public cloud services, GPU compute, CDN edge delivery, and media-pipeline security.

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