Solution Architect, Agentic Engineering

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Apply Digital

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CA$170K - CA$220K/yr

AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

Apply Digital is a global experience transformation partner. We drive AI-powered change and measurable impact across complex, multi-brand ecosystems. Our 750+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group.

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.

Responsibilities:

  • Define, own, and evolve the high-level technical architecture for internal and client platforms and shared services.
  • Organizing, distributing and translating backlog requirements from Product, UX and other disciplines, into detailed spec driven requirements for Agents to implement.
  • 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.
  • Coach engineers on effective agent design, prompt architecture, and decision modeling.
  • Set direction for agent observability, debugging, and reliability in production environments.
  • Embed AI coding agents (Copilot, Claude Code, etc.) into development workflows.

Requirements:

  • Proven experience in a Technology Director, Principal Engineer, or equivalent senior technical leadership role.
  • Hands-on experience using AI coding agents (e.g., GitHub Copilot, Claude Code).
  • 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).
  • Strong polyglot: Python 3 and TypeScript.
  • Strong experience with Google Cloud Platform (GCP), Vertex AI and Google Gen AI APIs.
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