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AI Solutions Architect
Calibrax.aiAI Solutions Architect creating scalable AI systems for diverse clients at Calibrax AI. Conducting technical assessments and ensuring production readiness.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformMicroservices
About the role
Key responsibilities & impact- Design end-to-end AI systems
- Serve as the technical authority for AI solution structuring, scaling, and integration
- Bridge the gap between data science outputs and production-ready systems
- Collaborate closely with clients to gather requirements and present solutions
- Identify integration risks and scalability constraints proactively
- Contribute to internal knowledge base and architecture templates
Requirements
What you’ll need- 5+ years in software or data engineering, with at least 2 years in a solutions architect or senior technical role
- Deep expertise in cloud architecture (AWS, GCP, or Azure), ideally with relevant certifications
- Strong understanding of ML system design: model serving, feature stores, data pipelines, monitoring, and retraining
- Experience designing and deploying scalable APIs and microservices
- Familiarity with LLM infrastructure, RAG pipelines, vector databases, prompt engineering at scale
- Ability to produce clear technical documentation and architecture diagrams
- Track record of delivering complex technical solutions in client-facing or consulting environments
Benefits
Comp & perks- Health benefits
- Paid time off
- Flexible work arrangements
- Professional development opportunities
- Performance bonuses
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI systems designcloud architectureML system designmodel servingfeature storesdata pipelinesmonitoringretrainingAPI designmicroservices
Soft Skills
collaborationclient engagementtechnical documentationarchitecture diagrammingproblem identificationrisk assessment