Solutions Architect at Skywise, delivering integrated digital solutions for operations. Collaborating to align technical solutions with business needs and fostering architectural excellence.
About the role
- Solution Architect providing senior technical leadership across platforms for AI and software engineering at Apply Digital. Leading architectural decisions and guiding teams to deliver high-quality software efficiently.
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.
Benefits
- Great projects: Broaden your skills on a range of engaging projects with international brands that have a global impact.
- An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.
- Learning opportunities: We offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support.
- Generous vacation policy: Work-life balance is key to our team’s success, so we offer flexible personal time offer (PTO); allowing ample time away from work to promote overall well-being.
- Customizable benefits: Tailor your extended health and dental plan to your needs, priorities, and preferences.
- Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.
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