Shelf
AI Solution Architect
New York City
No sponsorshipDetected 19 hours ago
PythonSnowflakeDatabricksAWSGCPAzureMachine LearningData EngineeringData ScienceLLMsRAGAgentic AISalesforceSalesCustomer SuccessLeadershipCommunicationCollaboration
About the role
- The workforce of the future is going to be multi-dimensional, multi-faceted, conductors of both people and artificial intelligence.
- 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.
Responsibilities
- Lead pre-sales technical conversations on architecture, security, and deployment strategy with senior prospect and customer stakeholders
- 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
- 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
- Build reusable ontology templates, reference architectures, and solution best practices in collaboration with the Field CTO and Engineering
- Lead solution design and technical discovery, translating customer data architectures, GenAI initiatives, and integration requirements into concrete target architectures
- We have raised over $60 million in funding and our investors include; Insight Partners, Tiger Global, Base10, and others
Requirements
- Solution Architecture Expertise
- 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
- 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
Nice to have
- 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.
- Beyond the initial win, you'll define the reference architecture that guides production rollout and expansion.
- Your insights from the field will feed directly into product direction through structured feedback to our CTO and Product leadership.
- 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.
- Experience with knowledge graphs, ontologies, or semantic technologies strongly preferred
- Technical enough to be hands-on when needed
Compensation
- Competitive salary, equity, & benefits
Benefits
- Competitive salary, equity, & benefits
- Comprehensive health and wellness packages
Company info
- GenAI will be at least a $18 Trillion market by 2032 and Shelf is a core infrastructure that enables GenAI to be deployed at scale
- We are blazing the path for the future of Artificial Intelligence globally.
- Our Leadership Team has deep AI domain expertise and enterprise SaaS background to execute this plan
- We love our customers and our customers love us. Ask a Shelf customer why, and they'll tell you it's because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all - it's the improvements they see in their business KPIs
- We have high velocity growth powered by the most innovative product in our category
- We now have over 100 employees in NYC and European countries, and we have ambitious hiring goals over the next few quarters
- Support existing customer expansion opportunities as part of our land-and-expand strategy
- We love our customers and our customers love us.
Visa & Work Authorization
- no h1b, OPT, visa sponsorship will be provided or accepted*
This listing is sourced directly from Shelf's careers page and normalized into a canonical job model.