Ai Architect

Role Overview

As the AI Systems Architect , you’ll own the end-to-end design and delivery of production-grade agentic and Generative AI systems. This is a highly hands-on role requiring deep architectural insight, coding proficiency, and an obsession with performance, scalability, and reliability. You’ll architect secure, cost-efficient AI platforms on AWS, guide developers through complex debugging and optimization, and ensure all systems are observable, governed, and production-ready.

Key Responsibilities

• Architect Production AI Systems : Design robust architectures for agentic systems (planning, reasoning, tool-calling), GenAI / RAG pipelines, and evaluation workflows. Create detailed design documents including flow / UML / sequence diagrams and AWS deployment topologies.
• Optimize for Cost & Performance : Model throughput, latency, concurrency, autoscaling, CPU / GPU sizing, and vector index performance to ensure scalable, efficient deployments.
• Lead Debugging & Stability Efforts : Conduct deep-dive debugging, fix critical defects, and resolve production incidents;

pair-program with developers to improve code quality and performance.

Must-Have Qualifications

Nice-to-Have Skills