Structured AI

3 weeks ago

Architectural Design Engineer (Founding Team)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Build and deploy autonomous AI agents that translate architectural floor plans, building envelopes, and building-code/regulatory requirements into production-ready QA/QC checks for real architecture firms. Work with the CTO and CPO to prototype in the codebase, stand up tailored client environments, and generalize what you learn into platform-wide checks. Lead technical discovery, demos, and champion check-ins from first call through deployed impact.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Entrepreneurship & Venture Building

Seniority: Mid level

Key Responsibilities

•Translate architectural objects, plan logic, and code requirements into structured patterns and agent logic the AI can execute.
•Prototype and deploy QA/QC checks and agent workflows end-to-end in the codebase and push them to production.
•Set up dedicated client environments and tailored check suites, then run them against real drawing sets.
•Generalize successful client-specific logic into public, platform-wide checks.
•Run technical discovery and demos with architecture firms and manage champion check-ins through contract life.

Pay and Benefits

Salary: USD 90,000 - 140,000 annually

Equity and Bonus:Equity

Key Requirements

•Studied architecture and have 4+ years in practice, with the ability to explain why requirements exist from a floor plan.
•Working understanding of building-code systems (IBC/IRC), local amendments, accessibility (ADA), zoning and life-safety logic, and custom client standards.
•Lived the architectural workflow end-to-end (schematic design through CDs, QA/QC/redline cycles, drawing sets, RFIs/submittals, ASIs/addenda, coordination, and handoffs).
•AI-native approach: familiarity with AI tools and an understanding of what models can and can’t do.
•Can code and build agent logic: hands-on ability to ship features using git in an early-stage environment.

Experience:4+ yearsConstructionArchitectureAIEarly-stage startups

Education:

Skills:Independent ownershipCommunicationBuilder mindsetCustomer-facing discoveryTechnical reasoning

Tech Stack:CursorClaude CodeGitIBCIRCADARevitBIMIFC

Eligibility

Nationality:US National

Company Brief

Structured AI

Builds tools and infrastructure to transform unstructured content into structured, queryable knowledge for LLMs and applications, enabling retrieval-augmented generation, knowledge graphs, and improved semantic search for developers and enterprises.

Industry: Data Infrastructure

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website

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Structured AI

3 weeks ago

Architectural Design Engineer (Founding Team)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Entrepreneurship & Venture Building

Seniority: Mid level

Key Responsibilities

•Translate architectural objects, plan logic, and code requirements into structured patterns and agent logic the AI can execute.
•Prototype and deploy QA/QC checks and agent workflows end-to-end in the codebase and push them to production.
•Set up dedicated client environments and tailored check suites, then run them against real drawing sets.
•Generalize successful client-specific logic into public, platform-wide checks.
•Run technical discovery and demos with architecture firms and manage champion check-ins through contract life.

Pay and Benefits

Salary: USD 90,000 - 140,000 annually

Equity and Bonus:Equity

Key Requirements

•Studied architecture and have 4+ years in practice, with the ability to explain why requirements exist from a floor plan.
•Working understanding of building-code systems (IBC/IRC), local amendments, accessibility (ADA), zoning and life-safety logic, and custom client standards.
•Lived the architectural workflow end-to-end (schematic design through CDs, QA/QC/redline cycles, drawing sets, RFIs/submittals, ASIs/addenda, coordination, and handoffs).
•AI-native approach: familiarity with AI tools and an understanding of what models can and can’t do.
•Can code and build agent logic: hands-on ability to ship features using git in an early-stage environment.

Experience:4+ yearsConstructionArchitectureAIEarly-stage startups

Education:

Skills:Independent ownershipCommunicationBuilder mindsetCustomer-facing discoveryTechnical reasoning

Tech Stack:CursorClaude CodeGitIBCIRCADARevitBIMIFC

Eligibility

Nationality:US National

Company Brief

Structured AI

Industry: Data Infrastructure

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website