AI Platform Engineering Lead: Scale Secure AI Infra
ICE
14 days+
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Benefits offered by this job
Job summary
ICE is seeking an AI Platform Engineering Lead in Atlanta, GA to drive the AI Platform Operations team. The role requires leadership in strategy, governance, and stakeholder engagement, ensuring scalable AI/ML solutions. Candidates need 8+ years in IT infrastructure, technical leadership, and experience with Kubernetes and GPU infrastructure. A competitive salary offering is provided along with comprehensive employee benefits such as healthcare coverage and a 401(k) plan.
Qualifications
- 8+ years in IT infrastructure or platform engineering roles.
- 3+ years in technical leadership or management positions.
- Direct experience with GPU infrastructure (NVIDIA preferred).
- 1+ years hands-on experience with Kubernetes in production.
- 2+ years experience using RAG pipeline design and deployment.
Responsibilities
- Define platform strategy and roadmap.
- Establish governance frameworks and policies.
- Manage team budget and vendor relationships.
- Lead the AI Platform Operations team.
- Align platform capabilities with enterprise architecture standards.
Skills
IT infrastructure experience
Kubernetes
GPU infrastructure knowledge
CUDA experience
Vendor management
Project Management
Team leadership
Technical analysis
Executive communication
Education
Bachelor's degree or equivalent experience
Tools
Kubernetes
GPU cluster infrastructure
CUDA
MCPs
Vector databases
AI/ML observability tools
Job description
ICE is seeking an AI Platform Engineering Lead in Atlanta, GA to drive the AI Platform Operations team. The role requires leadership in strategy, governance, and stakeholder engagement, ensuring scalable AI/ML solutions. Candidates need 8+ years in IT infrastructure, technical leadership, and experience with Kubernetes and GPU infrastructure. A competitive salary offering is provided along with comprehensive employee benefits such as healthcare coverage and a 401(k) plan.
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