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7 часов назад

Product Engineering Architect (AI)

Формат работы
onsite
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

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TL;DR
Product Engineering Architect (AI): Designing and delivering production-grade Generative AI applications, Agentic AI systems, RAG pipelines, LLM integrations, and MLOps/LLMOps frameworks with an accent on scalable architecture, governance, and enterprise readiness. Focus on developing reusable AI patterns, evaluating orchestration and cloud platforms, and building secure, compliant solutions in a highly governed environment.

Location: Draper, Utah, United States

Company

hirify.global is a single-family rental company and homebuilder focused on simplifying residential leasing through professional management and maintenance support.

What you will do

  • Guide the Product Engineering AI roadmap by defining architecture standards, reusable frameworks, and scalable design patterns.
  • Design and deliver enterprise-grade Generative AI applications, Agentic AI systems, RAG pipelines, LLM integrations, and MLOps/LLMOps frameworks.
  • Partner with business, product, engineering, and technology stakeholders to translate requirements into practical AI solutions.
  • Evaluate emerging AI technologies, conduct proofs of concept, and recommend solutions that deliver measurable value.
  • Collaborate with Security, Risk, Compliance, and Architecture teams on secure, responsible, and compliant AI implementations.
  • Develop reference architectures and reusable components while mentoring engineers and architects.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Statistics, Data Science, or a related field, or equivalent education and experience; a master’s degree is preferred.
  • At least 8 years of experience in solution architecture, technical design, and enterprise technology delivery.
  • At least 3 years of strong knowledge of Generative AI, LLMs, Agentic AI systems, and AI operational frameworks.
  • Experience leading technical initiatives and architecting complex solutions in regulated or highly governed environments.
  • Experience with AI orchestration frameworks such as LangChain, CrewAI, AutoGen, Strands, or similar technologies.
  • Knowledge of RAG solutions, vector databases, memory systems, prompt engineering, model optimization, integration protocols, tool-calling frameworks, APIs, responsible AI, and LLM infrastructure.

Nice to have

  • Master’s degree in a relevant field.
  • Familiarity with Azure AI Foundry, AWS Bedrock, GCP Gemini AI, M365 Copilot Studio, or comparable platforms.
  • Relevant AI, cloud, or architecture certifications.

Culture & Benefits

  • Medical, dental, and vision insurance.
  • Flexible spending accounts, health savings accounts, and dependent savings accounts.
  • 401(k) with company matching contributions and an employee stock purchase plan.
  • Tuition reimbursement, 9 paid holidays, and accrued paid time off.
  • Eligibility for a discretionary annual bonus.

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