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5 часов назад

AI Data Architect (AWS)

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

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TL;DR

AI Data Architect (AWS/Databricks): Designing and governing an enterprise-scale AI data platform to power conversational assistants and autonomous agents with an accent on RAG infrastructure and multi-domain data models. Focus on building scalable retrieval layers, implementing LLMOps pipelines, and ensuring the accuracy and observability of agentic AI outputs.

Location: Remote (United States)

Company

hirify.global is an AI transformation partner helping enterprises build AI-native products and intelligent agents via their HelixAI platform.

What you will do

  • Architect and own the enterprise AI data platform as the unified, governed layer for all AI systems across the organization.
  • Design multi-domain data models (lakehouse, data mesh, event-driven) optimized for AI workloads with clean lineage and versioned schemas.
  • Build RAG-based retrieval infrastructure, including embedding pipelines, vector stores, and hybrid retrieval layers.
  • Establish an observability stack to capture AI agent behavior, reasoning traces, and output accuracy to create complete audit trails.
  • Define reference architectures, data contracts, and engineering standards for CI/CD, Terraform, and infrastructure-as-code.
  • Modernize legacy on-prem ETL and batch DWH pipelines into cloud-native, AI-ready architectures.

Requirements

  • 15+ years of experience in data engineering and architecture, including building production AI/ML and LLM-era infrastructure.
  • Expertise with Snowflake or Databricks, and AWS services (S3, Glue, EKS, Bedrock, Kinesis, Redshift).
  • Proficiency in designing and writing ETL processes in Python, Java, or Scala.
  • Hands-on experience with vector stores (Pinecone, FAISS, ChromaDB, OpenSearch) and knowledge graphs (Neo4j).
  • Working knowledge of LLMOps, including model serving pipelines, MLflow, and automated evaluation.
  • Must be based in the United States.

Culture & Benefits

  • Comprehensive insurance coverage (Medical, Dental, Vision, Life, and AD&D).
  • Unlimited PTO and 12 paid holidays.
  • 401K plan and paid parental leave.
  • Flexible work policy.
  • Employer-paid Disability insurance.

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