Senior AI Solutions Architect (AWS)

📋 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.