Senior Staff Developer, AI and Machine Learning

Meet Benevity

Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!

This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our machine learning and AI efforts, leading the end-to-end architecture of our GenAI strategy.

You will bridge the gap between theoretical research and production-grade engineering—designing the scalable systems that power our model training, deployment, and monitoring. We are looking for a rare combination of deep technical mastery and strategic leadership to ensure our AI initiatives deliver high-impact, measurable business value.

What you’ll do:

Design and oversee the development of robust end-to-end ML architecture, from data ingestion and feature stores to model serving and monitoring.

Define the long-term roadmap strategy for our AI infrastructure and orchestration framework.

Oversee the design, implementation, and maintenance of our AI/ML ecosystem.

Design AI capabilities as extensible, self-service primitives (APIs, SDKs, standardized patterns) that let other domain teams build their own AI-powered features independently.

Set the standard for MLOps - you will ensure that our ML ecosystem is as testable, maintainable, and scalable as our core application code.

Cross-functional leadership - by working closely with Product Managers, Data Scientists and ML Engineers to translate business problems into concrete technical requirements.

Act as a force multiplier for the team by conducting high-level design reviews and mentoring engineers on system design and performance optimization.

Architect and evolve LLM-powered applications (e.g., copilots, search, assistants, agents), including RAG pipelines, tool integrations, and multi-step reasoning workflows.

Design and implement robust evaluation frameworks for GenAI systems, incorporating offline benchmarks, online metrics, and human-in-the-loop feedback.

Drive best practices for prompt engineering, agent design, and orchestration frameworks, ensuring maintainability and performance at scale.

Establish guardrails and safety mechanisms for GenAI applications, including prompt injection defenses, hallucination mitigation, and responsible AI practices.

Establish the golden path for model versioning, A/B testing, and automated rollbacks for identifying and mitigating drifts.

Ensure AI architectural strategy aligns with industry best practices and standards, complies with security policies and industry regulations.

Identify opportunities for process improvements and implement solutions to enhance platform performance and efficiency.

What you’ll bring:

Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field, or equivalent deep professional experience.

8+ years of software engineering experience, with at least 4+ years architecting and deploying ML models in production at scale.

2+ years in a technical leadership role on building scalable platforms, technology transformation and modernization initiatives.

Proven experience operating at a Staff or Senior level, including technical leadership, architecture ownership, and mentoring engineers.