---
title: 'AI Solutions Architect at Shelf'
canonical: 'https://feeny.ai/job/ai-solutions-architect-shelf-new-york-fmhvstpstgjb'
type: 'job'
last_seen: '2026-09-07'
---

# AI Solutions Architect at Shelf

- **Company:** Shelf
- **Location:** New York, NY
- **Posted:** 2026-07-01
- **Last confirmed live:** 2026-09-07
- **Apply:** https://shelf.io/careers/listing/?gh_jid=6107266004

## Job description

## About Shelf

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.

## About the Role

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.

## What You'll Do

- 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.

Ideal Candidate

- 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.

## Why Join Shelf

- 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 & Benefits

- Compensation – Competitive base salary + very meaningful equity.
- Flexible PTO
- Medical, Dental & Vision – Comprehensive health coverage.

## About Shelf

## Company Overview
- **One-liner**: Shelf provides an end-to-end agentic operating system that enables enterprises to design, manage, and scale AI agents for customer experience and business operations.
- **Entity Type**: Private (Series B; last round $52.5M led by Insight Partners and Tiger Global Management in 2021)
- **Headquarters**: New York, New York, United States
- **Founded**: 2017
- **Founders**: Not publicly available

## Core Business
- Primary industry: Agentic AI, enterprise knowledge management, and process automation.
- Target customers: B2B, large enterprises (contact centers, back-office workflows).
- Mission: “Help organizations organize data and optimize processes so work is more efficient, accurate, and actionable at scale” – now extended to building the foundation for enterprise agentic AI.

## Products & Services
- **CortexAI**: An end-to-end agentic platform that unifies data, models business logic, and deploys “Super Agents” across chat, voice, and email channels.
- **AI Data Model**: Structures enterprise data and business rules into a knowledge layer that AI agents can reason over.
- **Governance & Orchestration**: Tools to monitor, refine, and govern agent behavior at enterprise scale.
- **Shelf Knowledge Platform**: The earlier knowledge management solution that powers the AI data model with structured and unstructured data.

## Market Standing
- **Valuation**: Not disclosed.
- **Key Metric**: Annual Revenue of $6.2M (latest reported); Total Funding of $60.7M (Seed, Series A, Series B).
- **Notable Investors/Partners**: Insight Partners, Tiger Global Management, SeedInvest, Connecticut Innovations.
- **Growth Signals**: 109 employees (+11% YoY); LinkedIn followers up 40% YoY; job postings increased 400% YoY; offices in 6 US locations plus remote hubs in Poland, Ukraine, Portugal, UK, and Italy.

## Competitive Advantages
- Knowledge- and data-first architecture: builds an AI Data Model that makes agents reason accurately rather than relying on raw LLM output.
- Enterprise governance layer: enables compliance, consistency, and control over agent behavior across use cases.
- End-to-end platform: from data unification to agent orchestration and multi-channel deployment (chat, voice, email).

## Strategic Focus
- Moving organizations from AI experimentation to production-grade agentic systems.
- Expanding Super Agent capabilities for both customer-facing and back-office workflows.
- Scaling reliably across large enterprises by continuously optimizing performance and reusing data models.

## Why Work Here
- Culture of intensity and ambition: described as “some of the most intense, most challenging, and best years of your professional career.”
- Values: momentum, accountability, hard work, learning agility, “win together.”
- Work model: hybrid/remote options available, especially for roles based in Poland/Wroclaw and elsewhere in Europe.
- Employee rating: 4.1/5 on LinkedIn (37 reviews), with strong culture and compensation scores.
- Cutting-edge work: building the next-generation operating system for enterprise AI agents.

## Sources
1. [shelf.io](https://shelf.io/)
2. [shelf.io/about-shelf](https://shelf.io/about-shelf/)
3. [shelf.io/careers](https://shelf.io/careers/)
4. [linkedin.com/company/shelf.io](https://www.linkedin.com/company/shelf.io)
5. [shelfos.ai/careers](https://shelfos.ai/careers/)

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