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13 дней назад

Principal Digital Architect - AI-Ready Data & Annotations (AI)

159 120 - 258 570$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Principal Digital Architect - AI-Ready Data & Annotations (AI): Building governed, reusable data products and architecture standards that support Physical AI, simulation, model training, and autonomous construction systems with an accent on data domains, metadata, data contracts, telemetry, and edge-to-cloud architectures. Focus on designing scalable data platforms, integrating annotation and evaluation workflows, and establishing standards across decentralized engineering organizations.

Location: Onsite five days a week at the Irving, Texas office. Domestic relocation assistance is available. Visa sponsorship is available for eligible applicants.

Salary: $159,120–$258,570 per year.

Company

hirify.global develops connected machines, software, autonomy, and AI solutions for construction and other industrial applications.

What you will do

  • Define the enterprise framework and architecture standards for Physical AI-ready data products.
  • Design reusable data objects, domain-oriented products, data contracts, and consumption interfaces.
  • Establish standards for metadata, discoverability, quality, lineage, security, and lifecycle management.
  • Integrate labeling, annotation, curation, evaluation, and feedback processes into data products.
  • Design architecture for data platforms supporting telemetry, APIs, streaming data, simulation, and edge-to-cloud systems.
  • Drive architectural consistency and provide technical direction across multiple engineering organizations.

Requirements

  • Progressive experience in software engineering and architecture with a focus on data, typically 12+ years.
  • Strong knowledge of data architecture, domain modeling, canonical data models, data contracts, and metadata strategies.
  • Experience with AI and machine learning data foundations, including training data, feature engineering, vector data, synthetic data, and model evaluation data.
  • Experience designing cloud and on-premise data platforms and data products for massive data volumes and events.
  • Knowledge of machine telemetry, sensor data, digital twins, simulation data, autonomous systems, and physical AI ecosystems.
  • Understanding of Agile SDLC, public cloud environments, test automation, peer review, CI/CD, and resource optimization.

Culture & Benefits

  • Full-time employment with medical, dental, and vision benefits.
  • Paid time off, holidays, volunteer time, and parental leave.
  • 401(k), HSA, FSA, disability, and life insurance benefits.
  • Career development, tuition reimbursement, and employee assistance programs.
  • Incentive bonus and employee discount programs.

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