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2 дня назад

Principal Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Engineer (AI): Defining technical direction for Linked Data, graph-based knowledge representation, and metadata modernization across the organization with an accent on Java, graph data modeling, AI-driven metadata solutions, and enterprise architecture. Focus on designing graph-based systems, building production code and proof-of-concepts, driving standards adoption across teams, and solving ambiguous technical challenges without direct management authority.

Location: Dublin, OH, United States; hybrid, typically three days per week on-site.

Company

hirify.global builds technology that connects libraries and makes knowledge accessible worldwide through complex global datasets, AI and machine learning, hybrid cloud solutions, and information access systems.

What you will do

  • Define and communicate the technical vision for Linked Data and graph-based systems across the organization.
  • Develop modernization strategies and system design roadmaps for graph-based, standards-based metadata infrastructure.
  • Partner with Architects and Product to establish long-term technical direction.
  • Influence engineering teams and drive adoption of graph data modeling, Linked Data standards, and architectural best practices.
  • Write production code, build proof-of-concepts, and contribute directly to project delivery and system implementation.
  • Mentor senior engineers, evaluate emerging technologies, and investigate AI-driven approaches to metadata, entity resolution, and knowledge graph construction.

Requirements

  • Bachelor’s degree in computer science or a related discipline, or equivalent work experience.
  • 12+ years of software development experience with demonstrated Architect-level scope or equivalent.
  • Strong expertise in Java technologies.
  • Hands-on experience with graph databases and graph data modeling and implementation.
  • Working knowledge of RDF, N-Triples, and SPARQL, including designing, querying, and reasoning about graph-based data structures.
  • Strong practical experience applying AI technologies and AI-driven solutions in engineering work.
  • Deep understanding of system design and architecture for graph-based and Linked Data systems, modernization initiatives, enterprise technical roadmaps, and organizational technical strategy.
  • Ability to influence teams and drive technical decisions across multiple groups without direct management authority.
  • Strong problem-solving and analytical skills, with comfort operating in ambiguous technical territory.
  • Experience with distributed systems, microservices architecture, and cloud platforms.
  • Willingness and ability to remain hands-on by writing code, building proof-of-concepts, and contributing directly to delivery.
  • Strong understanding of software architecture and design patterns.

Culture & Benefits

  • Mission-driven work focused on connecting libraries and making knowledge accessible.
  • Hybrid work environment with individual and team spaces and modern technology tools.
  • Health coverage, retirement plans with company contributions, paid parental leave, and adoption assistance.
  • On-site fitness center, gym sports, group exercise classes, game room, catering, and subsidized cafeteria.
  • Tuition reimbursement, Public Service Loan Forgiveness eligibility, and subsidized local tickets and memberships.

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