Solution Architect, Agentic Engineering
AI Tools
Tech Stack
Agent Workflow
Lead design and implementation of AI-powered systems including LLM integrations and RAG pipelines. Coach on agent design, prompt architecture, and agent observability in production.
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.