Senior AI Architect, Semantic Layer & Algorithm Ar (AI)

Location: Remote – U.S.A.

Base salary: $120K–$150K per year, plus a possible discretionary incentive program and benefits.

Company

hirify.global delivers first-party data that helps businesses gain insights, activate audiences, and measure impact.

What you will do

• Define and evolve the architecture for the semantic layer, medallion architecture, and enterprise data models.
• Translate business concepts and governance standards into scalable technical frameworks and enforceable architectures.
• Design data contract frameworks covering schema validation, versioning, lineage, quality controls, and controlled dataset evolution.
• Establish architecture patterns for feature stores, model inputs and outputs, model lifecycle management, and algorithm interoperability.
• Partner with Product, Technology, Research & Data Science, and Data Platform teams on architectural decisions and implementation guidance.
• Lead foundational platform initiatives and provide technical thought leadership on semantic architecture, data governance, AI enablement, and enterprise platform design.

Requirements

• 7+ years of experience in data architecture, platform architecture, AI/ML infrastructure, data engineering, or related fields.
• Experience designing enterprise-scale semantic layers, data models, schema governance frameworks, or data contract architectures.
• Strong understanding of lakehouse architectures, medallion design patterns, metadata management, schema management, versioning, interoperability, and data governance.
• Experience architecting machine learning and AI platforms, including feature stores, model lifecycle management, lineage, and governance.
• Experience with platforms such as Databricks, DataHub, Snowflake, feature stores, metadata platforms, or comparable technologies.
• Strong communication and stakeholder management skills, including experience influencing technical leaders and executive stakeholders.

Nice to have

• Experience implementing enterprise semantic layers and business glossaries.
• Familiarity with AI governance, model governance, and responsible AI frameworks.
• Experience designing graph analytics, forecasting, optimization, or decision-support architectures.
• Exposure to LLM-enabled metadata generation, semantic modeling, catalog enrichment, or governance automation.

Culture & Benefits

• Inclusive and accessible work environment.
• Equal opportunity employment with accommodations available throughout the selection process.
• Medical and other benefits for eligible full-time employees.
• Possible discretionary incentive compensation.