Associate Director, AI Architect in Canada Creek, Nova Scotia at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Director, AI Architect based in Canada.

This role sits at the forefront of AI-native product engineering, where architecture, applied AI, and full-stack delivery converge to shape next-generation digital healthcare solutions. You will lead the design and development of scalable, production-grade AI systems powering web and mobile applications used in real-world clinical and operational contexts. Acting as both technical architect and hands-on builder, you will define system patterns, guide engineering execution, and drive innovation in agentic AI workflows. The position requires deep expertise across full-stack technologies and modern AI frameworks, with a strong emphasis on building reliable, high-performance applications. You will collaborate closely with cross-functional teams, translating complex requirements into robust technical solutions. This is a high-impact leadership role for someone who thrives in fast-paced environments and enjoys shaping both architecture and product outcomes.

In this role, you will be responsible for defining technical direction and delivering end-to-end AI-driven solutions across modern application ecosystems.

• Architect and develop AI-first web and mobile applications using modern full-stack frameworks
• Lead the design and implementation of AI-powered features using Python, LangGraph, and LLM-based tooling
• Design agentic workflows, including orchestration, tool use, state management, and human-in-the-loop systems
• Own end-to-end system architecture across frontend, backend, APIs, and cloud infrastructure
• Develop scalable, maintainable, and high-performance applications using React, Node.js, TypeScript, and Python
• Establish architectural standards, design patterns, and engineering best practices across teams
• Provide technical leadership through code reviews, mentoring, and architectural guidance
• Collaborate with product, engineering, and client stakeholders to deliver and deploy AI solutions successfully
• Lead technical demos, solution presentations, and adoption discussions with enterprise clients
• Ensure systems are optimized for reliability, scalability, security, and long-term maintainability

The ideal candidate is a senior-level AI architect or full-stack engineer with strong experience building AI-native, production-grade systems.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with 7+ years of experience
• Proven experience building commercially successful, production-facing applications
• Strong hands-on expertise in React.js, Node.js, and Python across full-stack development
• Demonstrated experience designing and shipping AI applications, AI agents, or agentic workflows
• Strong understanding of LangGraph or similar orchestration frameworks for AI systems
• Experience with cloud-native architecture, ideally on GCP or similar platforms
• Solid understanding of SQL and document-based databases
• Ability to architect end-to-end systems with ownership across the full technology stack
• Strong problem-solving skills and deep technical judgment in complex system design
• Excellent communication skills with experience engaging technical and non-technical stakeholders
• Proven leadership mindset with ability to mentor and guide engineering teams
• Strong portfolio demonstrating delivery of scalable, real-world AI or software products

• Competitive salary range of $170,000 to $190,000 CAD annually, based on experience and location
• Comprehensive benefits package including healthcare coverage, retirement savings plans, and paid time off
• Opportunity to work on AI-first systems in a high-growth, mission-driven healthcare technology environment
• Exposure to cutting-edge agentic AI and large-scale production systems
• Strong technical ownership with influence over architecture and product direction
• Collaborative, innovation-driven engineering culture
• Flexible work arrangements depending on role and team requirements
• Opportunities for leadership growth and cross-functional impact