Senior AI Solutions Architect

📋 Description Lead discovery sessions to translate business problems into ML solutions. Design end-to-end ML architectures and write technical proposals. Architect agentic AI solutions using autonomous decision-making and tool orchestration. Develop reference architectures for RAG, multi-agent systems, and tool-using agents. Build POC demos showing agentic capabilities with AI-assisted tools. Advise clients on build-vs-buy decisions and AgentOps requirements. 🎯 Requirements 6–8+ years in ML or data science roles. Proven client-facing technical leadership in pre-sales or discovery. Portfolio of architected ML solutions winning client engagements. Deep understanding of the ML lifecycle from data ingestion to production. Experience designing scalable production ML architectures across RAG, CV, time series, and recommender systems. Strong experience with LLM-based applications and agentic systems. 🎁 Benefits Remote-first environment with flexible hours. Budget for medical insurance. Paid sick leave, vacation, and public holidays. Clear career path toward Practice Leadership or Principal Architect roles. High-visibility role with diverse global clients and challenges. Internal training programs and AWS certification support.