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1 час назад

Principal AI Architect

165 604 - 228 491$
Формат работы
remote (только USA)
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 AI Architect (Cloud/Data/AI): Defining and delivering complex, multi-domain architectures across cloud infrastructure, data platforms, and production AI/ML systems with an accent on scalability, reliability, security, and enterprise integration. Focus on designing multi-cloud platforms, data pipelines, MLOps and LLM applications, while leading high-stakes technical decisions, modernization initiatives, and experienced engineering teams.

Location: US - Remote

Salary: $165,604–$228,491 USD per year

Company

Robots & Pencils designs and delivers production-ready AI systems and digital solutions for enterprise clients.

What you will do

  • Define technical strategy and lead end-to-end architecture across cloud, data, and AI/ML systems.
  • Design scalable cloud-native, multi-cloud, hybrid, data, and AI platforms, including warehouses, lakes, pipelines, model serving, MLOps, feature stores, and LLM applications.
  • Establish infrastructure-as-code, CI/CD, DevOps, security, governance, compliance, and observability standards.
  • Drive performance, scalability, cost, and reliability improvements, as well as cloud migrations and platform modernization.
  • Act as the principal technical voice for leadership and clients, translating complex concepts for technical and non-technical stakeholders.
  • Mentor experienced engineers and architects, own difficult integration challenges, and evaluate emerging technologies.

Requirements

  • 8+ years of software engineering experience, including at least 5 years in technical leadership.
  • Deep expertise in cloud platforms and cloud-native architectures, with experience in multi-cloud environments.
  • Strong background in microservices, serverless systems, containers, event-driven architecture, networking, security, identity, and access management.
  • Experience with infrastructure as code, CI/CD, data modeling, ETL/ELT pipelines, orchestration, and relational, NoSQL, and big data systems.
  • Production experience designing AI/ML systems, including LLMs, MLOps, model serving, and relevant frameworks and platforms.
  • Strong Python, API, stakeholder communication, technical leadership, mentoring, governance, compliance, and observability skills.

Nice to have

  • Multi-cloud architecture experience, AI ethics or responsible AI experience, or enterprise architecture certifications such as TOGAF or AWS, Azure, or GCP certifications.

Culture & Benefits

  • Production-ready AI systems are shipped within 30–45 days.
  • Work emphasizes ownership, direct feedback, continuous learning, craftsmanship, and practical problem-solving.
  • Teams average more than fifteen years of experience and collaborate closely with clients and cross-functional specialists.
  • Benefits include paid time off, medical, dental, and vision insurance, and a 401(k) for eligible employees.
  • Employment may be conditional on completion of a background check in accordance with local legislation.

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