Associate Director – Data and AI Architecture & Platforms
GlobalHR- Location
- Continental US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
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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