*no h1b, OPT, visa sponsorship will be provided or accepted* 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, translating technical capabilities into business value • Support Account Executives throughout sales cycles with primary ownership during technical evaluation and pilot phases • Collaborate with Customer Success through deal closing, onboarding, and initial enablement • Support existing customer expansion opportunities as part of our land-and-expand strategy • Build reusable ontology templates, reference architectures, and solution best practices in collaboration with the Field CTO and Engineering • Provide structured field feedback to CTO and Product leadership to influence roadmap and strategic direction Qualifications • 8-12+ years in solutions architecture, technical pre-sales, enterprise architecture, or data/AI engineering in customer-facing roles • Strong solution design and enterprise architecture experience, including security and deployment considerations • Strong expertise in data modeling, data platforms, and ETL/data pipelines • Experience with knowledge graphs, ontologies, or semantic technologies strongly preferred • Strong, current command of AI/GenAI technologies (LLMs, RAG, agent-based systems) • Deep understanding of enterprise data platforms and cloud architectures (AWS, Azure, GCP) • Technical enough to be hands-on when needed; familiarity with scripting (Python) and modern AI coding tools (Claude Code, Cursor, etc.) a plus • Proven track record engaging senior technical stakeholders in customer-facing roles with demonstrated sales impact • Exceptional presentation and communication skills with technical and executive audiences • Bachelor's degree in Computer Science, Engineering, Data Science, or related field • Experience in B2B SaaS, AI/ML, or data quality solutions preferred What We Offer: • Competitive salary, equity, & benefits • Realistic, clearly communicated expectations • Team-wide aligned values and goals • Comprehensive health and wellness packages Location: New York City. This is an in-office role based in our NYC office, with travel as needed for high-stakes customer engagements.