AI Data Engineer

TL;DR

AI Data Engineer (Azure AI/ML): Designs, builds, and operates enterprise-grade data and AI platforms using GitOps principles with an accent on stability, repeatability, and security governance. Focus on scalable ETL/ELT pipelines for model training, GenAI/RAG enablement, MLOps workflows, and data quality monitoring for hirify.global security products.

Location: Remote (United States)

Company

hirify.global revolutionizes data security by placing identity at the core, providing visibility and control to over 13,500 organizations in 100+ countries with a remote-first work environment.

What you will do

• Design, build, and operate GitOps-driven data and AI platforms with CI/CD pipelines and Infrastructure-as-Code using GitHub, Azure DevOps, and Terraform.
• Develop scalable ETL/ELT pipelines for AI/ML model training, feature stores, and inference workflows using Azure ML and Databricks.
• Enable GenAI and RAG by curating data sources, generating embeddings, managing vector databases, and supporting internal AI agents.
• Implement data quality monitoring, governance, observability, and security controls integrated into pipelines with Azure Monitor.
• Operationalize MLOps with model registry, versioning, retraining, and handoff documentation for IT Operations.
• Build and optimize Azure-based platforms including storage, Kubernetes, and containers for cost, performance, and global scale.
• Collaborate with IT Ops, Security, Data Science, and Product teams to translate requirements into architectures and documentation.

Requirements

• Bachelor’s Degree in Computer Science, Data Engineering, or equivalent
• 5-7 years in data engineering, platform engineering, or infrastructure roles
• Strong proficiency in Python and SQL; fluency in JSON, YAML, shell scripting
• Experience with Git-based workflows, IaC, CI/CD for production data/AI platforms
• Hands-on with Azure and AWS workloads
• Direct experience applying LLMs and GenAI (OpenAI, Anthropic, Gemini) in enterprise environments

Culture & Benefits

• Remote-first environment with frequent face-to-face interactions encouraged
• Competitive health benefits and continuous learning opportunities
• Team-oriented, collaborative, innovative culture with values like customer focus, excellence, and relentless innovation
• Regular company town halls, career growth, and employee input valued
• Equal Opportunity Employer committed to diversity and accommodations