AI Solutions Architect
Shelf
AI Solutions Architect
Shelf
AI-powered knowledge management for agents
While everyone’s talking about agents, most enterprise AI initiatives fail to reach production because they can’t deliver reliable, deterministic outcomes.
Models and agent frameworks are rapidly becoming commoditized. What’s missing is the data layer: an AI-ready model of a company’s unstructured knowledge that replaces hallucinations with trustworthy answers.
At Shelf, we’ve spent eight years solving the hardest problems in unstructured data and knowledge management. Now, we’re delivering this missing layer for some of the world’s largest companies.
As a Solutions Architect at Shelf, you'll be the technical authority behind our most complex customer opportunities, translating enterprise data, architecture, and AI challenges into solutions that can prove value quickly and scale into production.
You'll engage early in the sales cycle, leading technical discovery and conversations around architecture, security, integrations, and deployment strategy. You'll work with senior technical stakeholders to understand their existing data environment and AI initiatives, design the target solution, and guide proof-of-value pilots using real customer data.
This is a highly technical, customer-facing role. You'll be equally comfortable whiteboarding an architecture with a CTO or Enterprise Architect, digging into data models and pipelines alongside Engineering, and explaining how the proposed solution creates measurable business value.
Reporting to the Director of Solutions Architecture, you'll partner closely with Account Executives throughout the sales cycle, with primary ownership of technical evaluations and pilots. You'll also work with Customer Success through onboarding and initial enablement, help architect expansion opportunities within existing accounts, and bring structured feedback from the field directly to Product and Engineering.
Lead Technical Discovery & Solution Design - Translate customer data environments, GenAI initiatives, security requirements, integrations, and deployment constraints into clear, deployable target architectures.
Own Technical Evaluations - Lead architecture, security, and deployment conversations throughout the sales cycle, serving as the technical authority for senior customer stakeholders.
Design & Guide Proof-of-Value Pilots - Define success criteria and lead pilots using real customer data, building alongside Engineering to demonstrate measurable value and validate the path to production.
Architect for Production & Expansion - Define reference architectures that guide customers from pilot through production deployment, scale, and additional use cases within existing accounts.
Build & Influence - Develop reusable reference architectures, ontology templates, and solution best practices while bringing structured field insights back to the CTO, Product, and Engineering teams.
Solution Architecture Expertise - 7-12+ years in solutions architecture, technical pre-sales, enterprise architecture, data/AI engineering, or similar customer-facing technical roles, with a track record of designing complex enterprise solutions.
Deep Data & AI Expertise - Strong command of data modeling, data platforms, ETL/pipelines, LLMs, RAG, and agent-based systems; experience with knowledge graphs, ontologies, or semantic technologies is strongly preferred.
Enterprise Technical Authority - Deep understanding of enterprise architecture, security, integrations, deployment strategy, and cloud environments across AWS, Azure, and/or GCP.
Senior Stakeholder & Commercial Credibility - Comfortable leading technical conversations with Enterprise Architects, Data Leaders, CTOs, and AI Leaders, translating complex technology into business value and helping drive technical wins, conversions, and expansion.
Hands-On & Collaborative - Proficient in modern AI development tools such as Claude Code or Cursor to build and validate solutions yourself, moving fluidly between executive-level architecture discussions and hands-on work with Engineering.
Startup-Tested - Ex-technical founder or experience at a startup or other fast-paced, high-growth company is a strong plus; comfortable with ambiguity and moving fast.
Builder Mentality - Scrappy, resourceful, and biased toward action; you'd rather prototype a solution than just describe one.
Build the Future of Enterprise AI – Help define how AI-native companies will operate over the next decade.
Industry Leader – We've spent the last eight years becoming a leader in enterprise AI knowledge. Now we're building the next chapter.
Backed by World-Class Investors – Join a company supported by leading investors and trusted by many of the world's largest enterprises.
Accelerate Your Career – You'll wear more hats, own more projects, and gain more exposure in a year than most people get in several. There are very few places where you'll learn this much, this quickly.
Compensation – Competitive base salary + very meaningful equity.
Flexible PTO
Medical, Dental & Vision – Comprehensive health coverage.
Shelf.io provides knowledge management solutions that help organizations optimize their internal content and improve how agents and customers get answers. Its platform uses Generative AI to evaluate content quality from multiple sources and generate accurate, consistent responses for human agents, chatbots, and self-service portals. The products integrate where agents work, using AI, customer data, and automation to quickly deliver correct information, and to keep content up-to-date, boosting agent productivity and customer self-service. Shelf.io differentiates itself by focusing on content quality across sources, delivering reliable answers, and showing tangible results like ROI (e.g., $780,000 in the first year) and increased deflection rates (40%), which reduce the need for human intervention. The company’s goal is to help organizations maintain accurate knowledge at scale so that agents can resolve inquiries faster and customers can help themselves more effectively.
Explore more opportunities at Shelf