We are seeking an accomplished AI Architect/Engineering Manager to lead the modernization and transformation of a mission-critical legacy enterprise benefits administration platform using contemporary AI engineering practices, cloud-native architecture, and agent-based development workflows.

This is a hands-on technical leadership role for an architect and engineering leader who can define the target-state architecture, establish AI-assisted engineering practices, guide a high-performing engineering team, and drive the delivery of scalable, secure, and exceptional enterprise applications.

The successful candidate will combine deep expertise in software architecture, full-stack engineering, AI/GenAI technologies, cloud platforms, and engineering leadership with the ability to translate complex business requirements into pragmatic technical strategies.

The role will leverage emerging AI-assisted development technologies and coding agents—including Claude, Codex, and similar AI engineering platforms—to accelerate modernization, improve developer productivity, automate engineering workflows, and enable new approaches to software delivery.

Required Qualifications & Experience:

- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.
- 10+ years of software engineering experience, with significant experience in architecture and technical leadership.
- Demonstrated experience as a Software Architect, AI Architect, Principal Engineer, Engineering Manager, or equivalent senior technical leadership role.
- Strong full-stack engineering background across modern frontend and backend technologies.
- Proven experience architecting and modernizing large-scale legacy enterprise applications.




- Hands-on experience with AI-assisted software development tools, coding agents, LLMs, or agentic engineering workflows.
- Experience with Claude, Codex, GitHub Copilot, or comparable AI coding and engineering platforms.
- Experience with React, TypeScript, Node.js, Python, Java, or comparable modern technology stacks.
- Strong understanding of enterprise application architecture, distributed systems, APIs, microservices, event-driven architectures, and integration patterns.
- Strong frontend architecture and engineering experience with a focus on modern enterprise UX/UI.
- Strong backend engineering experience with scalable, resilient APIs and services.
- Deep understanding of cloud-native architecture and modern DevOps/DevSecOps practices.
- Experience leading architecture decisions and influencing engineering teams without relying solely on organizational authority.
- Excellent problem-solving, communication, stakeholder-management, and technical leadership skills.

Preferred Qualifications:

- Experience with Generative AI, LLM applications, RAG, AI agents, agentic workflows, prompt engineering, or AI orchestration frameworks.
- Experience establishing enterprise AI engineering standards, governance, and responsible-use practices.
- Experience designing multi-tenant, highly configurable enterprise SaaS platforms.
- Experience with AWS, Azure, GCP, or other major cloud platforms.
- Experience with Kubernetes, containers, serverless architectures, infrastructure-as-code, CI/CD, and observability platforms.
- Experience in benefits administration, HRTech, FinTech, insurance, healthcare technology, or enterprise SaaS.
- Experience modernizing applications while maintaining critical legacy integrations and business rules.
- Experience working in Agile product-development organizations.

📌 AI Manager (Ontario)
🏢 Global Technology Partners
📍 Ontario