AI Solutions Architect
Aspire Inc.
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Remote
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Machine Learning
AI Infrastructure
Google Cloud Platform
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.