Назад
Company hidden
4 дня назад

Principal Solution Architect (Multi-Cloud, Data & Agentic AI)

200 000 - 250 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Principal Solution Architect (Multi-Cloud, Data & Agentic AI) (GCP/AWS/Azure, Kubernetes, Terraform): Designing enterprise multi-cloud platforms and agentic AI systems for regulated financial institutions with an accent on multi-agent orchestration, generative AI, and distributed data pipelines. Focus on building production architectures across hyperscalers, optimizing LLM latency, and running high-throughput analytical workloads with Kubernetes, Spark, BigQuery, and Snowflake.

Location: NYC-Metro; hybrid

Base compensation: $200,000–$250,000 annually, plus annual bonus and equity.

Company

hirify.global builds production-ready agentic intelligence for financial services, enabling controlled, auditable AI workflows for enterprise institutions.

What you will do

  • Design architectural strategy for enterprise multi-cloud platforms and agentic AI initiatives.
  • Build autonomous multi-agent ecosystems with secure task delegation, state handoffs, and A2A orchestration.
  • Architect generative AI infrastructure for RAG, voice agents, streaming outputs, and vector database routing.
  • Build and scale containerized microservices across GCP, AWS, and Azure using Kubernetes and Terraform.
  • Design distributed data ecosystems for structured and unstructured streams using Spark, Airflow, BigQuery, and Snowflake.
  • Publish reusable blueprints and reference architectures while aligning research, engineering, and executive stakeholders.

Requirements

  • Expert experience architecting multi-agent orchestration frameworks, prompt-routing middleware, self-correcting agent loops, RAG systems, and other agentic workflows.
  • Expert knowledge of distributed analytical workloads, including Spark and Airflow, in Kubernetes environments.
  • Production engineering experience across at least two of GCP, AWS, and Azure.
  • Strong understanding of columnar storage, vector indexing, and automated data lake governance.
  • Experience as a CTO, Principal Architect, or Strategic Lead driving large-scale digital transformation or public-sector AI cloud implementations.
  • Background in developer advocacy, open-source contributions, or technical publication.

Culture & Benefits

  • Hybrid work in the NYC-Metro area.
  • Full-time employment with annual bonus and equity.
  • Work on AI systems designed for institutional controls, governance, auditability, and traceable outputs.
  • Equal opportunity workplace committed to diversity.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →