AI Architect
About The Position
AOT Technologies is seeking an AI Architect to join their team. This role involves designing and delivering scalable, production-grade agentic AI solutions for enterprise and public sector clients. AOT Technologies is a boutique consulting firm that partners with enterprises, startups, and governments to solve complex challenges, with expertise in business process management, automation and AI, cloud, and application development. They also build products, including their flagship platform, formsflow.ai, a low-code solution for workflow automation. They also offer products and services tailored to the state and local government and education sectors under the SLED360 umbrella.
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
Nice To Haves
- Experience with MCP, A2A, and tool/server integration patterns
- Experience with Azure AI Foundry - Model Deployments, Foundry Projects, Governance
- Previous full-stack development experience (e.g., React/Angular, Python/.NET/Node.js)
- Experience with Docker, Kubernetes, serverless platforms, or cloud-native deployment patterns
- Certifications in AI, ML, or cloud
- Any open-source codebase contributions or references, e.g., Github or GitLab
- Experience in the public sector, financial services, or healthcare
- Any experience with data engineering using Databricks, Microsoft Fabric or Snowflake
Responsibilities
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
