AI Architect
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
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
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
Salary Range
$120,000—$140,000 CAD
Apply To This Job
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
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
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
Salary Range
$120,000—$140,000 CAD
Apply To This Job