About this role

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

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

AI Solutions Architect

Key skills