AI Solution Architect

About the role

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.

Responsibilities

• Lead pre-sales technical conversations on architecture, security, and deployment strategy with senior prospect and customer stakeholders
• Engage in 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
• 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
• 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
• Provide structured field feedback to CTO and Product leadership to influence roadmap and strategic direction

Requirements

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.

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
• 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