Architect - Enterprise AI (Memphis, TN / Coppell TX) or Remote in USA
Core
Define and evolve enterprise architecture standards for AI, Agentic AI, and AI-enabled applications to ensure scalability, security, and alignment with long-term strategy.
Role type
Senior Enterprise AI Architect
Builds
Reusable architecture patterns, reference implementations, and proof-of-concept solutions for AI gateways, Model Context Protocol (MCP) integrations, agent orchestration, and enterprise knowledge access.
Domain
Enterprise Technology / Artificial Intelligence / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Enterprise architecture design, AI/Generative AI solution design, cloud platform integration, application integration, enterprise security, modern software architecture patterns, AI governance, AI development lifecycle (AI-DLC) practices, technical communication
Preferred skills
Bedrock, MCP, AI Gateways, LangGraph/LangChain, RAG, agentic AI platforms, OpenShift/Kubernetes, LLMs, vector databases, AI observability, responsible AI frameworks
Technologies
Bedrock, MCP, LangGraph, LangChain, OpenShift, Kubernetes
Responsibilities
Define enterprise architecture standards and reference architectures for AI solutions; Partner with cross-functional teams to evaluate AI use cases and provide architectural guidance; Design reusable patterns for AI gateways, agent orchestration, and knowledge access; Establish guidance for AI security, identity management, and compliance; Support AI-DLC practices through architecture reviews and reference implementations; Define approaches for AI evaluation, observability, and cost management; Develop proof-of-concept solutions to accelerate production scaling.
Seniority
Senior, hands-on IC with leadership influence
