# Senior Solutions Architect

**Company:** [Fal](https://hotfix.jobs/companies/fal)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Salary:** $220k – $290k/yr
**Experience:** 10+ years
**Skills:** Solutions Architecture, AWS, GCP, Azure, VMware, containerization, Microservices, Python, SQL, Generative AI, LLMs, diffusion models, MLOps, gpu infrastructure, mandarin chinese
**Posted:** 2026-07-28

> Senior Solutions Architect engaging enterprise customers and Chinese AI partners to assess needs, design scalable architectures on the fal.ai generative media platform, deliver PoCs and presentations, and drive adoption of AI inference and orchestration tools. Requires 10+ years technical sales/partner experience, deep cloud and AI expertise, and professional Mandarin proficiency.

## Job Description

## Responsibilities
- Engage with prospective and existing clients to assess technical needs and recommend appropriate models and services.
- Prepare and deliver presentations explaining technical products to customers.
- Collaborate with engineering and product teams to tailor solutions meeting client requirements.
- Gather client insights to inform product development and identify innovation opportunities.
- Serve as lead technical advisor to enterprise customers and strategic AI model providers, translating business requirements into scalable architectures on the fal.ai platform.
- Cultivate deep technical relationships with Chinese AI model providers, acting as primary technical point of contact.
- Design, prototype, and validate reference architectures and integration patterns.
- Collaborate with Product, Engineering, Sales, and Business Development on go-to-market strategies.
- Provide technical guidance during pre-sales and post-sales cycles, including discovery, PoCs, and deployment planning.
- Intervene to unblock strategic customer deals with deep technical expertise.
- Represent the company at industry conferences, partner events, and developer meetups (including in Greater China).
- Gather and deliver product feedback from customers and partners to inform roadmap.
- Develop technical documentation, best-practice guides, and enablement materials.
- Stay current with trends in generative AI, LLMs, diffusion models, and cloud-native infrastructure.

## Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Industrial Engineering, or related technical field.
- 10 years of progressive post-baccalaureate experience in technical customer-facing or partner-facing roles (Solutions Architect, Solution Engineer, Sales Engineer, Software Consultant, Senior Application Engineer, or related).
- 10 years managing full sales cycle technical engagements (discovery, PoCs, RFP/RFI, production deployment, roadmap planning).
- 10 years designing, optimizing, and troubleshooting cloud computing and private datacenter infrastructure (AWS, GCP, Azure, VMware), containerization, microservices, and APIs.
- 8 years post-sales technical engagement architecting scalable, secure enterprise solutions.
- 7 years delivering technical presentations and sales engagements to C-suite, engineering teams, and IT on AI inference, performance optimization, and algorithm processing.
- 6 years designing scalable cloud architectures and integrating with enterprise systems in multi-cloud or hybrid environments.
- 5 years deploying and integrating solutions within the Chinese technology ecosystem (Alibaba Cloud, Tencent, Baidu, ByteDance, Chinese AI startups/labs/model providers).
- 5 years coding for inference with Python and SQL to deploy AI models on cloud infrastructure.
- 5 years collaborating with Global/Regional System Integrators (GSIs/RSIs) and cloud providers on AI/ML deployment and cloud scaling.
- 3 years tailoring AI models (LLMs, diffusion, multimodal), inference optimization, MLOps, and GPU infrastructure.
- Professional proficiency in Mandarin Chinese (spoken and written).
- Experience may be gained concurrently. Foreign equivalent degrees acceptable.

## Nice-to-Haves
- Experience with generative AI, large language models, diffusion models.
- Knowledge of MLOps practices and GPU infrastructure.

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