Liquid AI · 1 week ago
Member of Technical Staff - Solutions Architect, GenAI
Liquid AI is a foundation model company spun out of MIT, focused on building efficient AI systems at every scale. The Solutions Architect role involves spearheading customer engagements, translating use cases into technical implementation plans, and leading the engineering team to ensure successful deployment of Liquid Foundation Models.
Artificial Intelligence (AI)Generative AIInformation TechnologyMachine Learning
Responsibilities
Own end-to-end customer relationships from technical discovery through implementation and success validation
Translate customer use cases into detailed technical implementation plans for the Applied ML Engineering team
Conduct technical discovery sessions with customers to deeply understand their requirements, constraints, and success criteria
Build and maintain the technical roadmap for each customer engagement, identifying risks and dependencies early
Serve as the escalation point for complex technical challenges encountered during implementations
Collaborate with product and engineering teams to align customer needs with our product roadmap
Develop reusable implementation patterns and technical assets that accelerate future customer engagements
Qualification
Required
You enjoy spearheading customer engagements and orchestrating our implementation of Liquid Foundation Models (LFMs) to bridge the gap between customer needs and technical implementation
You thrive at the intersection of deep technical expertise and strategic leadership; decoding customer challenges, architecting technical solutions, and leading our engineering team through flawless execution
You're comfortable making technical decisions with incomplete information, guiding teams through ambiguity, and being the definitive technical voice for our customers
You have deep experience leading technical ML implementations with enterprise customers, including requirements gathering, solution design, and delivery management
You possess deep technical knowledge of foundation models with hands-on experience in customization, fine-tuning, and deployment strategies
You excel at distilling ambiguous customer problems into clear technical specifications that can be executed by implementation teams
You can effectively communicate complex technical concepts to both technical and non-technical stakeholders, serving as the primary technical liaison with customers
You have a proven track record of leading cross-functional teams to deliver complex ML solutions on time and to specification
Own end-to-end customer relationships from technical discovery through implementation and success validation
Translate customer use cases into detailed technical implementation plans for the Applied ML Engineering team
Conduct technical discovery sessions with customers to deeply understand their requirements, constraints, and success criteria
Build and maintain the technical roadmap for each customer engagement, identifying risks and dependencies early
Serve as the escalation point for complex technical challenges encountered during implementations
Collaborate with product and engineering teams to align customer needs with our product roadmap
Develop reusable implementation patterns and technical assets that accelerate future customer engagements
Company
Liquid AI
Build efficient general-purpose AI at every scale.
H1B Sponsorship
Liquid AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Growth StageTotal Funding
$293.1MKey Investors
AMD VenturesOSS Capital L.P.
2024-12-13Series A· $250M
2023-12-01Seed· $37.5M
2023-05-05Seed· $5.6M
Recent News
2025-12-06
Digital Commerce 360
2025-11-15
Company data provided by crunchbase