AI Solutions Architect

Vibehackers; Oshawa; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

RRSP matching

Health spending account

Extended health care

Educational assistance

Growth opportunities

Job summary

Vibehackers is seeking an AI Solutions Architect to build, scale, and maintain production-grade AI and automation systems for internal operations and client solutions. You will own cloud architecture, integrations, security, and the productization of AI-enabled workflows.

This hands-on role focuses on reliable, secure, and scalable systems in Azure, with Lovable, Notion, and other tools, driving repeatable, productized offerings and strong data governance.

Qualifications

• 3+ years of experience in automation, systems building, or software development.
• Proven experience building production systems that real users depend on (not prototypes or PoCs).
• Hands-on experience with n8n, ChatGPT / LLM integrations, Notion, APIs, webhooks, and low-code/no-code platforms such as Lovable.
• Experience with cloud platforms and deploying/supporting applications in Azure (including Azure Functions, storage, AI services).
• Familiarity with tools like Supabase and Zapier.
• Strong system design skills covering functional and non-functional requirements (scalability, reliability, security).
• Knowledge of data security and compliance concepts (e.g., SOC 2) and experience with financial or operational workflows.
• Strong problem-solving, documentation, and stakeholder communication skills; ability to break down ambiguous problems and deliver maintainable solutions.

Responsibilities

• Design and build internal automations for bookkeeping, accounting, and operations.
• Implement AI tools and LLM integrations to reduce manual work and improve accuracy.
• Connect systems using APIs, webhooks, and automation platforms; maintain and scale internal applications (e.g., using Lovable).
• Define client requirements and translate business problems into functional and non-functional system designs (scalability, reliability, security).
• Maintain, debug, and improve existing internal and client-facing applications; take prototypes to production-grade systems.
• Design and support cloud-based architecture (particularly Azure), deployments, and environment structure (dev/test/prod).
• Implement logging, monitoring, error handling, and reusable components and patterns.
• Drive data security, privacy, and compliance best practices (SOC-related readiness).
• Lead internal AI training and enablement; help establish standards, guardrails, and processes for an evolving AI & automation function.
• Contribute to productization of internal tools and creation of repeatable client offerings.

Skills

System design

Automation

Cloud architecture

Security & compliance

API integration

Low-code/no-code

LLM/AI integration

Technical leadership

Tools

n8n

Lovable

Notion

Azure

Azure Functions

Supabase

Zapier

Webhooks

Job description

Explicitly mentions vibe coding and low-code/no-code (Lovable) alongside LLM integrations and n8n for rapid automation and prototyping.

About the Role

Build, maintain, and scale production-grade AI and automation systems for YBL Accounting’s internal operations and client solutions. Own cloud architecture, integrations, security, and the long-term reliability and productization of AI-enabled workflows and applications.

Job Description

Role

The AI Solutions Architect will design, build, and operate production-grade AI and automation systems across internal operations and client engagements. This hands-on role focuses on reliable, secure, and scalable systems engineering, cloud architecture (Azure preferred), integrations, and turning internal solutions into repeatable, productized offerings.

Key Responsibilities

• Design and build internal automations for bookkeeping, accounting, and operations.
• Implement AI tools and LLM integrations to reduce manual work and improve accuracy.
• Connect systems using APIs, webhooks, and automation platforms; maintain and scale internal applications (e.g., using Lovable).
• Define client requirements and translate business problems into functional and non-functional system designs (scalability, reliability, security).
• Maintain, debug, and improve existing internal and client-facing applications; take prototypes to production-grade systems.
• Design and support cloud-based architecture (particularly Azure), deployments, and environment structure (dev/test/prod).
• Implement logging, monitoring, error handling, and reusable components and patterns.
• Drive data security, privacy, and compliance best practices (SOC-related readiness).
• Lead internal AI training and enablement; help establish standards, guardrails, and processes for an evolving AI & automation function.
• Contribute to productization of internal tools and creation of repeatable client offerings.

Requirements

• 3+ years of experience in automation, systems building, or software development.
• Demonstrated experience building production systems that real users depend on (not prototypes or PoCs).
• Hands-on experience with n8n, ChatGPT / LLM integrations, Notion, APIs, webhooks, and low-code/no-code platforms such as Lovable.
• Experience with cloud platforms and deploying/supporting applications in Azure (including Azure Functions, storage, AI services).
• Familiarity with tools like Supabase and Zapier.
• Strong system design skills covering functional and non-functional requirements (scalability, reliability, security).
• Knowledge of data security and compliance concepts (e.g., SOC 2) and experience with financial or operational workflows.
• Strong problem-solving, documentation, and stakeholder communication skills; ability to break down ambiguous problems and deliver maintainable solutions.

What Success Looks Like

• Stable, reliable, and continuously improving internal applications.
• Measurable reduction in manual work through automation and improved client workflows.
• Production-grade cloud systems that scale securely and meet data governance needs.
• Reusable systems and patterns that enable repeatable, scalable service delivery.
• A strong foundation and standards established for a growing AI and automation team.

Benefits (summary)

Flexible work options (in-office Oshawa, hybrid, or fully remote), flexible work hours, competitive time off, RRSP matching, health spending account and extended health care, educational assistance, and growth opportunities within a growing function.

Skills

System Design Automation Cloud Architecture Security & Compliance API Integration Low-code/No-code Development LLM/AI Integration Production Deployment & Maintenance Monitoring & Observability Documentation Stakeholder Communication Problem Solving Solution Architecture Technical Leadership