AI Architect Remote (Canada) with optional hybrid work for candidates located in Victoria, BC

Remote (Canada) with optional hybrid work for candidates located in Victoria, BC

Are you passionate about building production-grade AI systems that solve real enterprise challenges?

Do you want to architect intelligent, agentic applications that automate complex workflows for governments and businesses?

Do you thrive in an environment where your architecture decisions drive meaningful outcomes?

AOT Technologies is seeking an AI Architect to join our team and design and deliver scalable, production-grade agentic AI solutions for our enterprise and public sector clients.

About AOT

We’re on a mission to help enterprises and governments bring their ideas to life.

As a boutique consulting firm, we partner with enterprises, startups, and governments to solve complex, mission-critical challenges.

Our expertise spans business process management, automation and AI, cloud, and application development.

Our teams are collaborative, our leadership is transparent, and our work is impactful.

Alongside our consulting practice, we’re product builders: our flagship platform, formsflow.ai, is a low‑code solution that simplifies complex form creation, approvals, and workflow automation, helping organizations move faster without sacrificing quality or compliance.

Under the SLED360 umbrella, we deliver products and services tailored to the unique needs of state and local governments and the education sector, from modern case management to digital services.

Our product offerings reflect our entrepreneurial spirit and firsthand experience solving real-world problems with scalable, human‑centered technology.

As we expand into new markets and scale our solutions, there’s never been a better time to join AOT.

Role and Responsibilities

As an AI Architect at AOT, you will lead the design and development of intelligent, agentic AI applications that power enterprise and government operations.

You will work closely with clients and internal teams to translate complex business requirements into robust, cloud‑native AI architectures from initial design through production deployment.

You will:

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

Who You Are

You are a hands‑on AI architect with deep expertise in building and shipping agentic AI systems. You bring strong engineering fundamentals, a cloud‑first mindset, and enthusiasm for pushing the boundaries of what’s possible with large language models and intelligent automation.

Must-Have Skills

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-Have

Experience with MCP, A2A, and tool/server integration patterns

Experience with Azure AI Foundry – Model Deployments, Foundry Projects, Governance

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

What We Offer

Salary range of $120K to $140K CAD, commensurate with experience

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

Apply Now

If you?re passionate about designing and delivering intelligent AI systems and want to lead impactful work at the intersection of AI, cloud, and enterprise transformation, apply today – we’re hiring now and excited to meet you.

We strongly encourage candidates of all backgrounds, experiences, and identities to apply, even if they don’t meet 100% of the listed criteria.

We are seeking candidates with diverse career experiences for this position.

If you’re passionate about impacting the tech industry and eager to contribute your expertise, we invite you to apply!

Closing date: June 11, 2026