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Senior Solutions Architect

Join fal as a Senior Solutions Architect to engage with clients and design scalable AI solutions in a growing generative media ecosystem.

Location
San Francisco
Compensation
$220k–$290k/yr
Level
senior
Type
full time · On-site

Posted by employer 1 month ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Fal → Save job Scanned from fal.ai

Skills & Technologies

AI in the day-to-day

fal is the foundation that makes generative media practical, providing tools and model access for AI-native products.

Requirements

Experience
10+ years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Joblaze summary

The Senior Solutions Architect at fal engages with clients to assess their technical needs and tailor AI solutions that leverage the company's generative media platform. This role requires extensive experience in cloud computing, AI model integration, and technical sales, particularly within the Chinese technology ecosystem. Ideal candidates possess a strong background in customer-facing technical roles and are adept at delivering complex solutions to enterprise clients. The position also involves collaboration with cross-functional teams to drive product innovation and market strategies.

Joblaze insights

Quick facts

Is the Senior Solutions Architect role remote?
No — this is an on-site role in San Francisco.
What's the salary range?
Fal lists $220,000–$290,000 for this role.
How much experience is required?
At least 10 years of relevant experience for this Senior Solutions Architect role.
Where is the role based?
Fal is hiring for this position in San Francisco.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, AWS, Azure, GCP, Python, SQL.
What seniority level is this role?
Fal targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Solutions Architect role at Fal.

From the original posting

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

fal – Features & Labels, Inc. seeks a Senior Solutions Architect (multiple openings) for its San Francisco, CA office. (Domestic and international travel required for up to 25-35 percent of time)

Job Duties:

Engage with prospective and existing clients to assess their technical needs and recommend appropriate models and services. Prepare and deliver presentations explaining technical products to existing and prospective customers. Collaborate with engineering and product development teams to tailor solutions that meet specific client requirements. Plan and modify products or services to meet customer needs. Gather insights from clients to inform product development and identify opportunities for innovation. Recommend improved products or services to customers, showing how changes will lower costs or increase production. Serve as the lead technical advisor to enterprise customers and strategic AI model providers, translating complex business requirements into scalable solution architectures on the fal.ai platform. Cultivate and maintain deep technical relationships with Chinese AI model providers and technology companies, acting as the primary technical point of contact for these partnerships. Design, prototype, and validate reference architectures and integration patterns that accelerate customer time-to-value and drive platform adoption. Collaborate with cross-functional teams—including Product, Engineering, Sales, and Business Development—to define go-to-market strategies for partner and customer engagements. Provide strategic technical guidance during pre-sales and post-sales cycles, including discovery sessions, proof-of-concept development, and production deployment planning. Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Represent fal.ai as a technical thought leader at industry conferences, partner events, customer workshops, and developer meetups—including events in Greater China. Gather, synthesize, and deliver product feedback from customers and partners to internal teams to inform the product roadmap and partner strategy. Develop and maintain technical documentation, best-practice guides, and enablement materials for both internal teams and external partners. Stay current with emerging trends in generative AI, large language models, diffusion models, and cloud-native infrastructure to inform solution design and strategic recommendations.

Job Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Industrial Engineering, or a closely related technical field and 10 years of progressive, post-baccalaureate experience in a technical customer-facing or partner-facing role such as a Solutions Architect, Solution Engineer, Sales Engineer, Software Consultant, Senior Application Engineer or related occupation. Experience must include:

  • 10 years of experience managing full sales cycle technical engagements, including leading discovery sessions, developing proofs of concept, supporting RFP/RFI responses, and guiding customers through production deployment and future roadmap planning and production support.

  • 10 years of experience designing, optimizing, and troubleshooting cloud computing and private datacenter computing infrastructure (AWS, GCP, Azure, or VMware), containerization, microservices architectures, and API.

  • 8 years of experience with post-sales technical engagement, including architecting and delivering complex, scalable, and secure enterprise solutions across diverse industries.

  • 7 years of experience delivering technical presentations and customer-facing sales engagements to C-suite executives, engineering teams, and IT organizations, specifically focused on AI inference engines, infrastructure performance optimization, and algorithm processing speed improvements across production environments.

  • 6 years of experience designing scalable cloud architectures and integrating with enterprise systems across multi-cloud or hybrid environments.

  • 5 years of experience deploying and integrating software solutions within the Chinese technology ecosystem (e.g., Alibaba Cloud, Tencent, Baidu, ByteDance, or emerging Chinese AI startups), Chinese technology companies, Chinese AI labs, or Chinese model providers.

  • 5 years of experience coding for inference with modern scripting languages (Python and SQL) to help partners and customers deploy their AI models or algorithms on cloud infrastructure.

  • 5 years of experience collaborating with Global and Regional System Integrators (GSIs/RSIs) and leading cloud providers to design and implement solutions for complex technical challenges, including the deployment of AI/ML algorithms and the scaling of cloud-based infrastructure.

  • 3 years of experience tailoring AI models to customer specifications, including generative AI models (LLMs, diffusion models, or multimodal models), inference optimization, MLOps practices, and GPU infrastructure.

  • Professional proficiency in Mandarin Chinese (spoken and written).

Experience may be gained concurrently. Foreign equivalent degrees are acceptable.

Salary: $220,000-$290,000 per year

U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:

fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

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