AI Solution Architect

*no h1b, OPT, visa sponsorship will be provided or accepted*

About Shelf:

We're building AI that is changing the world. The workforce of the future is going to be multi-dimensional, multi-faceted, conductors of both people and artificial intelligence. We're looking for someone who can do that.

Shelf is the OS for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so that AI agents don’t just respond, they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.

Brands like Amazon, Nespresso, HelloFresh, and KeyBank use Shelf to power their AI agents that automate workflows, improve efficiency, and turn long processes into automated work. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.

Job Description:

The AI Solution Architect is Shelf's solution design authority in customer-facing engagements, translating complex enterprise data and GenAI challenges into concrete, deployable architectures. This role combines deep expertise in AI systems, enterprise architecture, and data modeling with the ability to engage senior technical stakeholders and design end-to-end solutions that prove measurable value and scale into production.

You'll engage early in the sales cycle, leading pre-sales technical conversations on architecture, security, and deployment strategy with senior prospect and customer stakeholders. Operating at a high level, you'll run technical discovery, design the target solution, and guide proof-of-value pilots that demonstrate Shelf's value on a prospect's real data, working directly alongside Engineering throughout. Beyond the initial win, you'll define the reference architecture that guides production rollout and expansion.

Reporting to the Field CTO, you'll partner with Account Executives throughout the sales cycle, with primary responsibility during technical evaluation and pilots. You'll collaborate with Customer Success through deal closing, onboarding, and initial enablement, and contribute to our land-and-expand growth strategy by architecting solutions that grow within existing accounts. Your insights from the field will feed directly into product direction through structured feedback to our CTO and Product leadership.

The ideal candidate brings 8-12+ years combining deep technical depth in data and AI platforms with customer-facing solution design. You're equally comfortable whiteboarding a target architecture with a CTO and getting into the detail of a pilot alongside Engineering. You communicate credibly at a senior level while maintaining the technical depth to go deep when it counts. Experience with knowledge graphs, ontologies, or semantic technologies is strongly preferred, though exceptional data modeling and architecture expertise can substitute.

What We're Looking For:

Solution Architecture Expertise - Designs end-to-end technical solutions and reference architectures; translates ambiguous enterprise requirements into clear, deployable designs

Enterprise Technical Authority - Strong, current command of GenAI, LLMs, RAG, and agent-based systems, combined with enterprise architecture, security, and deployment strategy; credible with senior technical stakeholders

Data Ontology Modeling - Strong data modeling, data platforms, and ETL/pipeline expertise; knowledge graphs and ontologies experience strongly preferred

Senior Stakeholder Engagement - Comfortable leading high-level conversations with senior prospect and customer stakeholders such as Enterprise Architects, Data Leaders, CTOs, and AI Leaders; translates technical concepts into business value

Customer-Facing Excellence - Exceptional communication and presentation skills; comfortable whiteboarding architectures and guiding technical evaluations

Collaborative Delivery - Works directly alongside Engineering during pilots to prove value on real customer data

Sales-Oriented Mindset - Understands enterprise sales cycles and is motivated by technical wins, conversions, and expanding existing accounts

Continuous Learner - Stays current with AI/GenAI trends, data technologies, and modern engineering practices

Key Responsibilities:

Lead pre-sales technical conversations on architecture, security, and deployment strategy with senior prospect and customer stakeholders

Lead solution design and technical discovery, translating customer data architectures, GenAI initiatives, and integration requirements into concrete target architectures

Design and guide proof-of-value pilots that prove measurable value on customer data, working directly alongside Engineering

Define reference architectures and solution designs that guide production rollout and scale within accounts

Present solutions to Enterprise Architects, Data Leaders, AI/ML Engineers, and senior technical decision-makers, transl…