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Director/Principal Engineer, Data & AI Platform (AI)

225 000 - 300 000$
Тип работы
fulltime
Грейд
senior/director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Director/Principal Engineer, Data & AI Platform (AI): Building an AI-native internal data platform with an accent on semantic modeling, governed data products, cross-store integration, and production LLM capabilities. Focus on designing query-safe access, identity resolution, metadata and lineage, reusable ML capabilities, and reliable interfaces for analysts, applications, and AI agents.

Location: Milpitas, California, United States

Salary: USD 225,000–300,000 per year, plus potential bonus, equity, and benefits.

Company

hirify.global develops smart security products powered by AI, computer vision, cloud services, connected devices, and wireless technologies.

What you will do

  • Own the data platform as an internal product with a roadmap measured by adoption, trust, and time-to-answer.
  • Build and operate production software, shared libraries, interfaces, primitives, tests, CI, and backward-compatible platform capabilities.
  • Deliver governed AI and ML capabilities including anomaly detection, forecasting, segmentation, and natural-language queries over trusted data.
  • Design safe interfaces for AI tools and agents, including MCP or comparable tool-callable access with permission and query-safety controls.
  • Resolve identity, referential integrity, consistency, and access-control challenges across DynamoDB, Databricks, Oracle EBS, Amplitude, and Klaviyo.
  • Define the semantic and metric layer, catalog, data product contracts, metadata, lineage, ownership, quality, freshness, and access standards.

Requirements

  • 10+ years of experience in data engineering or data platform roles, including production ownership of systems used by multiple teams.
  • Production experience with LLM systems, retrieval and natural-language interfaces over structured data, evaluation, guardrails, monitoring, and cost controls.
  • Experience building ML platform capabilities covering feature definition, training and serving, evaluation, drift, and quality monitoring.
  • Production experience with Databricks or a comparable lakehouse platform, including Unity Catalog, Delta Lake, medallion architecture, metadata, lineage, and governance.
  • Strong experience with heterogeneous data integration, enterprise data architecture, data contracts, semantic modeling, AWS data services, SQL, and Python or another general-purpose language.
  • Track record of driving adoption of platform capabilities across teams without direct authority.

Nice to have

  • Experience with Collibra, Atlan, or similar data catalog and governance tools.
  • Experience in regulated or compliance-sensitive data environments.
  • Experience replacing dashboard and reporting sprawl with governed self-service.
  • Experience with Oracle EBS, Amplitude, Klaviyo, or similar enterprise and product-analytics sources.

Culture & Benefits

  • Full-time employment with a compensation package that may include bonus, equity, and benefits.
  • Inclusive and harassment-free workplace with equal employment opportunity.
  • Reasonable accommodations are available for applicants and employees with disabilities, pregnancy-related conditions, and sincerely held religious beliefs.
  • Fair Chance Laws and Ordinances are considered where applicable.

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