Senior Forward-Deployed Solutions Architect, webAI
Plus performance-based incentives
Enterprise grade local AI applications
Open for applications
Enterprise grade local AI applications
101-200 employees
Open for applications
Plus performance-based incentives
101-200 employees
Company mission
To revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).
Role
Who you are
- Experience architecting complex systems that integrate software, data, and AI components
- Demonstrated experience shipping production systems and building real, working software
- Strong understanding of enterprise environments, including system integrations, infrastructure, and data pipelines
- Experience designing or integrating real-time or near-real-time workflow systems, ideally with embedded or edge constraints
- Proficiency in data modeling, event-driven architectures, and system decomposition
- Ability to map current-state workflows and design future-state systems aligned to business value
- Experience balancing custom client work with productized and platform-level capabilities
- Comfort leading technical discovery sessions with clients and translating findings into actionable designs
- Strong communication skills across operators, engineers, executives, and product teams
- Ability to operate effectively in ambiguous environments, prioritize well, and move from idea to delivered value
- Familiarity with digital twin concepts, real-time perception systems, or multi-model orchestration is a strong plus, but not required
What the job involves
- The Senior Forward-Deployed Solutions Architect works at the intersection of client operations, product, and engineering to design end-to-end intelligent systems that deliver real operational value
- Partnering directly with customers, this role translates current workflows and pain points into scalable architectures across hardware, software, AI models, data, and user interfaces—often in real-time, latency-sensitive environments
- While initially embedded with an anchor client in food manufacturing, this role represents a core capability at webAI and requires someone who has shipped real systems, understands enterprise environments, and can drive outcomes through ambiguity with strong technical judgment and clear communication
- Design the end-to-end intelligence architecture that supports perception, reasoning, and actualization in real operational environments
- Map current-state systems, data flows, workflows, and equipment signals, and translate them into a clear future-state architecture
- Define how sensors, models, algorithms, workflows, and user interfaces work together to support real-time decision-making
- Work directly with client operators, supervisors, engineers, and leadership to understand pain points and prioritize work based on business value
- Evaluate tradeoffs between custom solutions, product extensions, platform roadmap contributions, and rapid prototypes
- Partner closely with engineering to ensure designs are buildable, scalable, and aligned with technical constraints
- Partner with product to influence roadmap decisions based on real-world operational needs and reusable capabilities
- Guide ML, software, and frontend engineers by defining requirements, data schemas, interface logic, and system interactions
- Ensure solutions are grounded in reliability, safety, and clear user value, especially in latency- and uptime-sensitive environments
- Communicate technical decisions clearly and plainly to both technical and non-technical stakeholders
- Document system architectures, workflows, dependencies, and decision logic for internal teams and clients
- Identify risks early and propose mitigation strategies before they become blockers
- Serve as the technical owner for the first 3–6 months of implementation for major customer deployments
Our take
On a mission to democratize artificial intelligence, WebAI has built a decentralized development platform that minimizes the amount of data required to build AI models. This directly challenges the assumption that big data is intrinsic to AI, and enables for local, ownable and customizable models to be made.
The company's unified execution layer helps to streamline the training and deployment of models in a way which is both scalable and flexible. Enterprises can use their existing infrastructure to run powerful models while ensuring their data never leaves their devices. Plus, they can tailor each model to their needs with no coding needed.
WebAI believes that off-the-shelf AI models lack the flexibility and control required to be used in real-world tasks, which is what its platform helps to combat. This approach has attracted impressive investment that will be used to grow its development efforts and elevate its mission to democratize AI.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2024
$60m
SERIES A
Dec 2022
$17m
SEED
Total funding: $77m
Company benefits
- Grow with us: Equity options so you share in our growth. Build your future as we build ours.
- Family first: Parental leave and fertility support for every stage of life. Your family matters here.
- Plan your future: A 401(k) to help you save and invest. Secure what's ahead with confidence.
- Stay well: Comprehensive health coverage for body and mind. Because balance fuels great work.
- Keep learning: A stipend to explore, study, and sharpen your skills. Growth never stops.
- Work anywhere: Remote-first with flexible time off to recharge. Find balance wherever you are.
Company HQ
Congress Avenue Historic District, Austin, TX
Leadership
David Stout
(Co-Founder & CEO)Alongside WebAI, David is the Founder of Ghost House Technology.
Ethan Baird
(Co-Founder & Chief Research Officer)Previously, Ethan was a Software Programmer at Ghost House Technology and a Web Technician at Revision Marketing and Design.
Tyler Mauer
(Co-Founder & Chief Innovation Officer)Tyler is also a Director of Product & Market at Ghost House Technology, Previously he held Consultant roles at YETi CGI, RANDY'S House, and Shinola.
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