AI Architect

🕒 May 22

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AOT Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

Our passion lies in crafting web and mobile applications that tackle complex business challenges. We have a track record of assisting diverse organizations in enhancing their overall efficiency, reducing operational and IT expenses, and seizing fresh opportunities in the market.

📋 Description

• Architect and develop production-grade agentic AI applications using modern agent frameworks and orchestration tools • Design and implement tool calling/function calling patterns that integrate LLMs with LOB APIs, databases, enterprise applications, and external services • Lead LLM application architecture decisions, including prompt engineering, context management, RAG pipelines, vectorization, embeddings, and model evaluation • Manage memory and state in complex agentic systems across multi-turn, multi-agent workflows • Build and maintain scalable cloud infrastructure on Azure, AWS, or GCP, applying CI/CD, logging, monitoring, error handling, and secure deployment best practices • Collaborate with full-stack teams to integrate AI capabilities into end-to-end solutions • Contribute to the ongoing evolution of AOT's AI practice, tooling, and standards

🎯 Requirements

• Hands-on experience in architecting and developing production-grade agentic AI applications • Experience with any of the code-first agent frameworks and orchestration frameworks such as LangGraph, LangChain, Microsoft Agent Framework, Semantic Kernel, AutoGen, Google - ADK, or similar • Experience with Prompt and Context Engineering principles and strategies • Strong hands-on programming experience in Python or .NET Core or Java • Experience implementing tool calling/function calling with LLMs, which interacts with LOB APIs, databases, enterprise applications, and external tools • Strong understanding of memory and state management in agentic systems • Solid cloud architecture experience on Azure or AWS or GCP • Experience with production engineering practices such as CI/CD (Azure Devops or Github), logging, monitoring, testing, error handling, and secure deployment • Strong understanding of LLM application architecture, including prompts, context management, RAG, vectorization, embeddings, and evaluation • Experience with MCP, A2A, and tool/server integration patterns (Nice-to-Have) • Experience with Azure AI Foundry - Model Deployments, Foundry Projects, Governance (Nice-to-Have) • Previous full-stack development experience (e.g., React/Angular, Python/.NET/Node.js) (Nice-to-Have) • Experience with Docker, Kubernetes, serverless platforms, or cloud-native deployment patterns (Nice-to-Have) • Certifications in AI, ML, or cloud (Nice-to-Have) • Any open-source codebase contributions or references, e.g., Github or GitLab (Nice-to-Have) • Experience in the public sector, financial services, or healthcare (Nice-to-Have) • Any experience with data engineering using Databricks, Microsoft Fabric or Snowflake (Nice-to-Have)

🏖️ Benefits

• Flexible remote work environment with optional hybrid collaboration in Victoria, BC • Continuous learning and leadership development opportunities • Flexible schedules and generous paid time off • Competitive health, dental, and wellness benefits from Day 1 • Employer-sponsored deferred profit-sharing plan • A collaborative, mission-driven culture where your work matters