Solution Architect, Agentic Engineering

Location

APPLY 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).

$170,000 - $220,000 a year

#LI-Remote

• 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., Git Hub 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 Type Script.
• 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).

People are at the core of everything we do  provide you with modern tools, systems and approaches, value your time, safety, and health, and strive to build a work community where you can thrive and grow. Here are a few benefits we offer to support you:

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