JobHabor

Associate Director – Data and AI Architecture & Platforms

GlobalHR
Location
Continental US
Workplace
Remote
Employment
Full Time
Salary
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Posted 18d ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Design and implement Data, ML and Agentic architectures across business domains
  • Evaluate and integrate emerging technologies to enhance platform capabilities
  • Establish and enforce best practices for data and agentic systems
  • Work with data scientists, ML engineers, and stakeholders to translate technology into value
  • Maintain and improve platform operational model including monitoring, logging, alerting, incident management, and disaster recovery
  • Partner with enterprise architecture and governance teams to align platform capabilities with requirements

Requirements

  • University Degree in STEM, Computer Science or Engineering or equivalent experience
  • Minimum 12 years relevant experience (or 10 years with advanced degree)
  • 10+ years in architecture, systems engineering, software, or related fields
  • Experience in data and automation architecture, AI/ML platforms, and distributed systems
  • Experience with knowledge/property graphs, ontologies, semantic layers, and large-scale data integration
  • Experience with IaC, GitOps, Kubernetes, CI/CD, and DevOps frameworks
  • Experience with advanced context management, data governance tools, and AI context
  • Experience with cloud infrastructure deployments (Azure/AWS)
  • Experience with Python for automation and operational management

Preferred

  • Experience in Aerospace, Defense, or other regulated industries
  • Expertise in data and AI governance, analytics, machine learning, and data utilization patterns
  • Demonstrated ability to convert technology to business value
  • Strong leadership, collaboration, analytical, and problem-solving skills
  • Proven ability to foster a positive culture and communicate effectively in a large organization

Skills

  • Python
  • Kubernetes
  • Azure
  • AWS
  • GitOps
  • CI/CD
  • DevOps
  • IaC
  • Knowledge graphs
  • Property graphs
  • Ontologies
  • Semantic layers
  • Data governance
  • AI/ML
  • Agentic architectures
  • Distributed systems

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