Define and own the architecture strategy for AI platforms and applications across Rackspace
Design scalable, reusable AI architecture patterns
Create and govern architecture standards, conduct design reviews
Lead build vs. buy vs. partner decisions for AI tooling and frameworks
Ensure interoperability across teams, platforms, and services
Own the long-term technical vision for the AI engineering function
Mentor and grow senior and mid-level engineers

Demonstrated ability to design complex, distributed systems
Hands-on experience designing production-grade agentic systems, RAG pipelines, and LLM-integrated applications
Proven track record of setting engineering direction
Expert-level Python, including async patterns, testing, packaging, and production-grade engineering practices
Deep expertise in Cloud Architecture (AWS)
Production experience with LangChain / LangGraph and AWS Bedrock
Ability to design and govern production workloads in Kubernetes

AI Architect

Key skills