Generative AI Platform Architect

Overview

Own the end-to-end architecture of production AI systems with a strong hands-on bias. You’ll design robust, cost-efficient, and secure agentic / GenAI solutions on AWS. Part of your job will be to unblock lead developers by debugging code, optimizing performance, and guiding best practices. Expect to turn complex requirements into scalable, observable, and well-governed platforms.

Responsibilities

• Define target architectures for agentic systems (planning / reasoning / tool-calling), GenAI / RAG pipelines, and evaluation loops;

produce clear design documents with Flow / UML / sequence diagrams and AWS deployment topologies.

pair-program with developers to raise the engineering bar.

LangGraph / AutoGen / CrewAI acceptable), tool / function schemas, validation, memory, grounding, and multi-step planning.

evaluate recall, precision, and hallucination risk.

enforce SLIs / SLOs and error budgets.

standardize dashboards,alerts, and tool / trace replay.

lead readiness reviews and post-incident RCAs.

Must Have

able to dive into code,fix bugs, and optimize performance-critical paths.

grounding and retrievalevaluation experience.

mature incident response and on-call practices.

empathetic, structured code and architecture reviews.

Good to Have

equivalents welcome)