AI Solution Architect

Job Title AI Solution Architect Job Description We are 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 is AI that understands how your business 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. 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. 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 solution 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, and benefits Realistic, clearly communicated expectations Team‑wide aligned values and goals Comprehensive health and wellness packages Location New York City, NY, USA – In‑office role with travel as needed for high‑stakes customer engagements. Company Policy No visa sponsorship. The company does not provide H1B, OPT, or other visa sponsorship. #J-18808-Ljbffr