AI Solutions Architect

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.

• 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.