Senior Engineering Manager, AI Product Engineering

Role overview

AI product engineering

• Lead architecture, development, and delivery of scalable AI features and shared platforms.
• Apply Generative AI, Machine Learning, Deep Learning, and Computer Vision to product challenges.
• Develop with LLMs, RAG, AI agents, workflow orchestration, and traditional ML techniques.
• Establish reusable architecture patterns and address performance, scalability, security, reliability, and cost efficiency.
• Contribute to architecture, prototyping, coding, and complex problem-solving.

AI-native engineering and leadership

• Lead adoption of AI-Native Engineering and Agentic SDLC practices.
• Implement AI-assisted workflows using coding agents, Spec-Driven Development, and automation.
• Use AI agents and reusable skills in design, implementation, testing, code review, and delivery.
• Set engineering standards and metrics while protecting quality, security, and maintainability.
• Lead and mentor 4–8 engineers and foster technical excellence and continuous improvement.

Collaboration

• Partner with Product Management to translate business requirements into technical solutions and execution plans.
• Collaborate with engineering teams to integrate AI capabilities into existing products.
• Work with Security, Compliance, and other stakeholders on responsible AI deployment.

Required qualifications

• 8+ years of software engineering experience, including strong system design and architecture expertise.
• 3+ years of engineering leadership experience, including leading and mentoring technical teams.
• 2+ years of hands-on production AI application or product feature development and deployment.
• Experience with modern AI platforms such as OpenAI, Azure OpenAI, Google Gemini, Claude, or equivalent.
• Strong understanding of LLMs, transformers, prompt engineering, RAG, AI agents, and workflow orchestration.
• Practical Data Science and Machine Learning knowledge, including predictive modeling and model evaluation.
• Hands-on use of AI coding agents such as Claude Code, GitHub Copilot, or equivalent.
• Experience with AI-Native Engineering, Spec-Driven Development, AI-assisted workflows, and Agentic SDLC.
• Experience developing scalable cloud-based solutions using AWS, Azure, or GCP.
• Strong technical leadership, communication, and cross-functional collaboration skills.

Preferred qualifications

• Commercial software experience developing AI-powered features.
• Experience with Computer Vision, image/video analytics, Deep Learning, or predictive ML.
• Experience with local or self-hosted models, Hugging Face, and Model Context Protocol (MCP).
• Experience with AI agent orchestration frameworks, production ML pipelines, reusable AI platforms, or shared AI services.
• Experience implementing advanced Agentic SDLC workflows, custom agents, reusable skills, automated verification, or CI/CD integration.
• Familiarity with Agile and experience in regulated or security-conscious environments.

Compensation

• Salary range is CAD 150,000–170,000 per year, plus a 12.5% bonus.
• Final offer depends on skills, experience, and alignment with the role; the stated range reflects varying qualification levels.