AI Solutions Architect
Aspire Inc.
United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Machine Learning
AI Infrastructure
Google Cloud
AI Platforms
Kubernetes
Machine Learning Operations
Job description
Job Description: Design the big-picture AI infrastructure, tooling strategy, and deployment architecture. You’ll define the tech stack, optimize cost/performance trade-offs, and guide engineering teams on AI best practices.
Requirements
- 8+ years in software/ML engineering, with 3+ in solution architecture
- Deep knowledge of cloud AI platforms (AWS SageMaker, Azure AI, Google Cloud Platform Vertex AI)
- Experience designing end-to-end ML pipelines (data * training * deployment * monitoring)
- Familiarity with MLOps tools (MLflow, Kubeflow, Weights & Biases)
- Strong understanding of model serving, scaling, and cost optimization
- Excellent stakeholder communication and technical leadership skills, All applicants must submit accurate information; misrepresentation may disqualify candidacy.
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