Architect reusable AI platforms and agent runtimes using Python, Kubernetes, and cloud services for BrainRidge Consulting’s hybrid Maritimes team.

This AI Architect role focuses on reliable enterprise systems beyond demonstrations and prompt engineering. You will shape model gateways, agent registries, RAG services, evaluation platforms, and observability capabilities. Collaboration spans AI, software, data, platform, security, cloud, risk, privacy, and business stakeholders.

Key Responsibilities:

- Design reusable enterprise AI platforms and capabilities
- Evaluate models for capability, latency, security, cost, and requirements
- Integrate AI with applications, APIs, databases, and systems of record
- Define deployment strategies across cloud, hybrid, serverless, and Kubernetes
- Develop reference architectures,



standards, accelerators, and decision frameworks

Requirements:

- Seven-plus years of software or solutions architecture experience
- Experience with LangChain, LangGraph, LlamaIndex, or comparable frameworks
- Experience with SQL/NoSQL, vector databases, search, and knowledge graphs
- Understanding of distributed systems, microservices, REST, and event-driven architecture
- Familiarity with MLOps, LLMOps, AgentOps, and observability tools

Bring platform architecture, model evaluation, Kubernetes, and observability experience to scalable AI systems for BrainRidge clients.

📌 AI Platform Solutions Architect (Moncton)
🏢 BrainRidge consulting
📍 Moncton