AI Solution Architect

Responsibilities

• Lead pre-sales technical conversations on architecture, security, and deployment strategy with senior stakeholders
• Lead solution design and technical discovery to translate customer requirements into target architectures
• Design and guide proof-of-value pilots working alongside Engineering to prove value on customer data
• Define reference architectures and solution designs to guide production rollout and scale
• Present technical solutions to Enterprise Architects, Data Leaders, and CTOs, translating capabilities into business value
• Support Account Executives during technical evaluation and pilot phases
• Collaborate with Customer Success through deal closing and onboarding
• Build reusable ontology templates and solution best practices
• Provide structured field feedback to CTO and Product leadership to influence the roadmap

Requirements

• 8-12+ years in solutions architecture, technical pre-sales, or data/AI engineering in customer-facing roles
• Strong expertise in data modeling, data platforms, and ETL/data pipelines
• Current command of AI/GenAI technologies including LLMs, RAG, and agent-based systems
• Deep understanding of enterprise data platforms and cloud architectures (AWS, Azure, or GCP)
• Experience with knowledge graphs, ontologies, or semantic technologies strongly preferred
• Proven track record engaging senior technical stakeholders with demonstrated sales impact
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
• Familiarity with Python and modern AI coding tools is a plus

About the Company

Shelf is the OS for agentic AI, providing a platform that models policies, workflows, and operational logic into an AI Data Model. This allows AI agents to reason and deliver precise, compliant, and auditable outcomes at scale. Used by brands like Amazon and HelloFresh, Shelf is recognized by Gartner and IDC for its innovative approach to automating complex enterprise workflows.