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Applydigital2mo ago
CAD 170000–220000/yr

Solution Architect, Agentic Engineering

Toronto · TorontoRemoteFull-Time Permanentmid
OtherAgentic Solution ArchitectSolution Architect Agentic Engineering
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Quick Summary

Overview

ABOUT APPLY DIGITAL Apply Digital is a global AI-native transformation partner, client-obsessed and built for a new era of client services.

Technical Tools
OtherAgentic Solution ArchitectSolution Architect Agentic Engineering
ABOUT APPLY DIGITAL
 
Apply Digital is a global AI-native transformation partner, client-obsessed and built for a new era of client services. We bring together industry expertise and elite talent to connect strategy, agentic experiences, technology, and data for the world's most ambitious organizations.

With the agility to move fast and the experience to deliver with precision, Apply Digital works with clients like Arc'teryx, Lululemon, and Kraft Heinz.

For more information, visit applydigital.com
 
LOCATION: Apply Digital is hybrid/remote friendly. The preferred candidate should be based in Canada, working in hours that align to ET (Eastern Timezone) or PT (Pacific Timezone).
 
THE ROLE:

Apply Digital is seeking a Solution Architect to provide senior technical leadership across our platforms and engineering capabilities, with a strong focus on Agentic Engineering, AI-powered experiences, modern software architecture, and scalable delivery practices.
 
The Solution Architect will shape how Apply Digital designs, builds, and operates production-grade software platforms by operating Agents, with AI and automation embedded deeply into our engineering workflows and systems.
 
You will lead technical strategy, guide architectural decisions, and enable teams to deliver high-quality software efficiently and safely. This includes advancing our use of spec-driven development, AI coding agents, agent-based systems, and cloud-native architectures, while maintaining strong engineering fundamentals and operational rigour.
 
The Solution Architect is a versatile technologist with deep systems thinking, a strong grasp of AI-native architectures, and the leadership maturity to guide multiple teams through complex technical initiatives as well as the ability to be a trusted technical advisor to clients. This role requires excellent written and verbal communication skills and the ability to clearly articulate and express complex technical concepts to business stakeholders.
  • Define, own, and evolve the high-level technical architecture for internal and client platforms and shared services, ensuring systems are scalable, secure, observable, and production-ready.
  • Organizing, distributing and translating backlog requirements from Product, UX and other disciplines, into detailed spec driven requirements for Agents to implement.
  • Synthesize user stories, site maps, content strategy, components and design systems, brand strategy, etc, into specifications that coding Agents will implement. 
  • Designing and implementing digital solutions that have proper SEO/GEO, accessibility, performance and content management integrations.
  • Integrations with key Composable platforms such as Contentful, Contentstack, Algolia, Cloudinary, etc.
  • Champion spec-driven development as a core practice to improve clarity, quality, and predictability across teams.
  • Design and guide layered and distributed architectures, ensuring sound use of queues, caching, APIs, and database schemas while using teams of coding agents.
  • Establish standards for creating and consuming RESTful APIs across services.
  • Coach engineers on effective agent design, prompt architecture, and decision modeling.
  • Translate business goals into agent capabilities and system-level behaviours.
  • Define when autonomy is appropriate vs. when human oversight is required.
  • Lead the design and implementation of AI-powered systems, including: LLM integrations (Gemini 3, Claude Opus, GPT-4.x/5.x); Vector stores and Retrieval-Augmented Generation (RAG) pipelines.
  • Set direction for agent observability, debugging, and reliability in production environments.
  • Embed AI coding agents (Copilot, Claude Code, etc.) into development workflows to improve velocity, quality, and developer experience.
  • Continuously evaluate and introduce new AI tools and techniques to accelerate delivery while maintaining enterprise standards.
  • Promote disciplined experimentation and learning around emerging AI capabilities.
  • Provide technical leadership for systems built on Google Cloud Platform (GCP).
  • Oversee infrastructure design and provisioning, with Terraform as a preferred approach.
  • Ensure systems meet expectations for reliability, scalability, and operational excellence.
  • Lead and mentor senior engineers and technical leads across multiple teams.
  • Foster a calm, supportive, and solution-oriented engineering culture.
  • Partner with Engineering Managers, Product, and Delivery leaders to align technical initiatives with organizational goals.
  • Manage dependencies and technical risks across concurrent initiatives.
  • Identify and mitigate technical, architectural, and delivery risks early.
  • Drive continuous improvement in how software is designed, built, tested, and operated, especially through AI-enabled practices.
  • Ensure systems and teams are prepared for long-term maintainability and evolution.
  • Proven experience in a Technology Director, Principal Engineer, or equivalent senior technical leadership role.
  • Strong background in modern software engineering and system architecture, including distributed systems.
  • Demonstrated experience with spec-driven development.
  • Hands-on experience using AI coding agents (e.g., GitHub Copilot, Claude Code).
  • Strong prompt engineering skills.
  • Experience building or integrating systems using LLMs (Gemini, Claude, GPT-4.x/5.x).
  • Experience implementing vector stores and RAG architectures.
  • Experience developing or operating AI agents using Agent Development Kits (e.g., Google ADK).
  • You are a strong polyglot, in particular with Python 3 and TypeScript.
  • Experience designing and consuming RESTful APIs.
  • Strong experience with Google Cloud Platform (GCP).
  • Hands-on experience with Vertex AI and Google Gen AI APIs.
  • Deep understanding of system design fundamentals (queues, caching, databases, APIs).
  • Proven ability to mentor senior engineers and lead multiple teams through complex technical initiatives.
  • Excellent written and verbal communication skills.
  • Experience with the BMAD Method or similar spec-driven development frameworks.
  • Experience with AI agent design patterns, task planning, and reasoning.
  • Experience with agent observability and debugging in production.
  • Experience with layered and distributed architecture patterns at scale.
  • Experience using Terraform for infrastructure provisioning.
  • Familiarity with Next.js / React (particularly for platform or internal tooling contexts).
    •  
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    Listing Details

    Posted
    February 19, 2026
    First seen
    March 26, 2026
    Last seen
    April 22, 2026

    Posting Health

    Days active
    27
    Repost count
    0
    Trust Level
    43%
    Scored at
    April 23, 2026

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    Solution Architect, Agentic EngineeringCAD 170000–220000
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