AI Discovery Architect — Search & Knowledge Graph Leader

Heritage; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental, Vision coverage

Paid time off

401k savings plans

Onsite gym with personal trainer

Job summary

Heritage Auctions is seeking a Search & AI Discovery Architect to improve how information is discovered, understood, trusted, and cited by traditional search engines and AI agents. You will own technical designs, information models, and validation, building prototypes and coordinating with Engineering to productionize approaches.

As part of the Enterprise AI team, you will work with the SEO and AEO Strategy Manager to influence the growth roadmap through technical evidence and emerging

Qualifications

• Experience in technical SEO, web architecture, digital marketing technology, organic growth, or a related discipline, with strong knowledge of crawlability, indexing, website structure, metadata, canonicalization, and search performance.
• Broad technical understanding of front-end websites, back-end systems, structured data, APIs, data flows, and AI-discovery integrations.
• Ability to build and test prototypes and reference implementations and translate them into practical implementation guidance.
• Ability to model entities and relationships clearly and preserve the meaning of complex information across systems.
• Familiarity with AI-powered search, large language models, answer engines, and emerging discovery practices.
• Ability to translate business and marketing objectives into technical requirements and explain capabilities, constraints, and tradeoffs to technical and nontechnical partners.
• Experience partnering with developers, data engineers, product or project managers, marketers, and business stakeholders.
• Strong analytical, research, communication, and problem-solving skills, including the judgment to evaluate unfamiliar technologies and recommend a practical path forward.
• A strong sense of ownership for technical outcomes, including proactively identifying opportunities, surfacing risks, resolving gaps, and following work through validation.

Responsibilities

• Define, document, and govern technical standards for crawlability, indexing, rendering, canonical URLs, metadata, internal linking, structured data, content architecture, and search performance. Maintain reusable implementation patterns that reduce ambiguity and repeated research. Assess how Heritage’s inventory, archives, specialist expertise, and market data are exposed to search engines and AI systems, and identify barriers to accurate discovery, retrieval, attribution, and citation.
• Develop information models, reusable schema patterns, and knowledge and relationship graphs that distinguish an object from its auction appearances, an active offering from a historical auction result, and an estimate from a realized price. Preserve provenance, relevant dates, price definitions, and reliable links between records. Work with Heritage specialists, Data Services, and Engineering to validate entity definitions, attributes, identifiers, and relationships. Validate that discovery outputs preserve these distinctions.
• Translate business priorities into clear technical designs, requirements, dependencies, tradeoffs, and acceptance criteria for Product and Project Management, Web, Data Services, and Engineering. Provide practical implementation guidance and test cases, surface risks and unresolved dependencies early, and help resolve technical gaps through production delivery and validation against intended behavior.
• Personally build prototypes and reference implementations using Heritage data to test technical approaches, expose assumptions, and demonstrate proposed standards. Run focused experiments, compare results, and iterate before recommending broader adoption.
• Evaluate APIs, data feeds, agent access, Model Context Protocol (MCP) capabilities, and emerging discovery approaches, providing practical guidance on security, data availability, feasibility, and integration. Track evolving schema practices, naming conventions, and changes in how search engines and AI agents discover and interpret information. Use experimental evidence to explain their practical implications and proactively surface capabilities and constraints that should inform or reshape planning while following agreed business priorities.
• Establish technical and discovery baselines with the SEO and AEO Strategy Manager and relevant analytics partners. Measure and validate implemented improvements for information accuracy, crawlability, index coverage, structured-data quality, and accessibility to search and AI agents. Collaborate on measurement of visibility, citations, qualified traffic, conversions, and agreed business outcomes, distinguishing technical performance from commercial results.
• In your first 90 days, work with the SEO and AEO Strategy Manager, Engineering, Data Services, Web, and Heritage specialists to establish discovery, technical-accessibility, and information-accuracy baselines for an agreed representative scope. Identify the most consequential barriers and dependencies, agree on a representative category’s information model and pilot acceptance criteria, and build and test a reference implementation. Deliver a measurable implemented pilot with Engineering and validate results against the baselines and acceptance criteria, including information accuracy and accessibility to search and AI agents. Document results, remaining limitations, and recommendations for the next business-prioritized improvements.

Skills

Technical SEO

Web architecture

AI-powered search

Knowledge graphs

Prototyping

Cross-functional collaboration

Tools

APIs

Schema.org

JSON-LD

Job description

Heritage Auctions is seeking a Search & AI Discovery Architect to improve how information is discovered, understood, trusted, and cited by traditional search engines and AI agents. You will own technical designs, information models, and validation, building prototypes and coordinating with Engineering to productionize approaches.

As part of the Enterprise AI team, you will work with the SEO and AEO Strategy Manager to influence the growth roadmap through technical evidence and emerging