Solution Architect, Agentic Engineering

Team: Technology

Location: Toronto, Canada

Commitment: Full-Time Permanent

Workplace Type: remote

RESPONSIBILITIES

• 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.

REQUIREMENTS

• 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.

NICE TO HAVES

• 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).