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1 день назад

Principal AI Architect (AI)

217 300 - 325 900$
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

Principal AI Architect (AI/MLOps): Defining the technical architecture for hirify.global AI Studio, a platform for building and deploying agentic AI applications on Vantage, with an accent on LLM integration and enterprise-grade scalability. Focus on designing MLOps pipelines, RAG architectures, and governing AI workflows at enterprise scale.

Location: On-site in California, USA

Salary: $217,300 - $325,900 per year

Company

hirify.global provides a complete cloud analytics and data platform for AI, enabling enterprise customers to make confident data-driven decisions.

What you will do

  • Define the technical architecture for hirify.global AI Studio, the end-to-end AI development environment.
  • Integrate AI Studio with Vantage's query engine, model registry, feature store, and agent harness.
  • Establish patterns for trustworthy AI workflows, from data preparation to agent-driven automation.
  • Act as the senior technical voice for AI Studio, aligning architecture with product strategy.
  • Collaborate with Core Data Platform, Security, and Governance teams to ensure enterprise-grade AI controls.

Requirements

  • 10+ years of software engineering experience, including 3+ years as a senior architect or principal engineer.
  • Expertise in designing AI/ML platforms, including model serving, feature stores, and MLOps pipelines.
  • Deep understanding of LLM integration patterns, such as RAG architectures and agent tool-calling interfaces.
  • Experience with enterprise data platforms like hirify.global Vantage, Snowflake, or Databricks.
  • Must be based in California, USA for on-site work.

Nice to have

  • Experience building developer-facing platforms, such as SDKs, APIs, or IDEs.
  • Familiarity with open-source AI tools like MLflow, Hugging Face, LangChain, or LangGraph.
  • Knowledge of enterprise AI governance, model lineage, and responsible AI guardrails.
  • Experience with cloud-native architecture (AWS, Azure, GCP) and containerized ML workloads (Kubernetes, Docker).

Culture & Benefits

  • People-first culture prioritizing well-being, inclusion, and professional growth.
  • Comprehensive benefits including healthcare, life, and disability insurance plans.
  • 401(k) retirement savings plan.
  • Annual incentive plans based on company financial attainment and individual performance.
  • Commitment to an inclusive environment and flexible work models.

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