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About the Role

Shelf is seeking an AI Solution Architect to serve as the solution design authority in customer-facing engagements. This role involves translating complex enterprise data and GenAI challenges into deployable architectures, combining expertise in AI systems, enterprise architecture, and data modeling with the ability to engage senior technical stakeholders to design end-to-end solutions that deliver measurable value and scale into production.

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.

Requirements

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.

Skills

AI systems
Enterprise architecture
Data modeling
GenAI
LLMs
RAG
Agent-based systems
Knowledge graphs
Ontologies
Semantic technologies
Data platforms
ETL/data pipelines
Cloud architectures (AWS, Azure, GCP)
Scripting (Python)
AI coding tools
Communication
Presentation

Location

New York City

Work Type

In-office
Travel as needed

Experience Level

8-12+ years

Education Level

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Benefits

Competitive salary
Equity
Benefits
Comprehensive health and wellness packages

About the Company

Shelf is building AI that is changing the world, creating the OS for agentic AI. Their platform models policies, workflows, and operational logic into an AI Data Model, enabling AI agents to reason and deliver precise, compliant, auditable outcomes at scale.
Brands like Amazon, Nespresso, HelloFresh, and KeyBank use Shelf to automate workflows and improve efficiency.
Shelf is partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks.
Recognized by Gartner (Cool Vendor) and IDC (Innovator).
GenAI is projected to be a $18 Trillion market by 2032, and Shelf is core infrastructure for its scaled deployment.
The Leadership Team has deep AI domain expertise and enterprise SaaS background.
Customers report innovative capabilities, rock-solid reliability, enjoyable working relationships, and significant business KPI improvements.
Raised over $60 million in funding from investors including Insight Partners, Tiger Global, and Base10.
Experiencing high velocity growth powered by an innovative product.
Over 100 employees in NYC and European countries with ambitious hiring goals.

Equal Opportunity

No H1B, OPT, visa sponsorship will be provided or accepted.