Top AI Jobs in Toronto

As a Senior Platform Engineer, you will design an Internal Developer Platform, maintain Azure/AKS environments, build AI-driven automation, and mentor junior engineers while ensuring system reliability and scalability.

The Python Developer will build NLP pipelines, develop data processing jobs, and manage ML models, focusing on data engineering and AI/NLP engineering tasks.

The role involves developing NLP pipelines, managing data processing jobs, building APIs, and supporting CI/CD deployments with a focus on Python and data engineering tools.

The candidate will develop NLP pipelines, data processing jobs, APIs, and support CI/CD deployments while leveraging Python and related libraries.

The Senior Cloud Engineer is responsible for building, managing, and maintaining large-scale cloud services, ensuring they are secure, scalable, and efficient. This includes designing cloud-native applications, automating tasks, and working collaboratively to improve operational workflows and standards.

The AI Program Analyst will support AI initiatives by organizing workflows, maintaining project trackers, documenting processes, and automating tasks using low-code tools. Responsibilities include managing program operations, analytics, and providing support for leadership updates and event logistics.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

Lead large-scale AI infrastructure deployment programs, manage project execution for GPU clusters and data center infrastructure, and mentor junior project managers.

Lead a multidisciplinary team to design and deliver agentic AI systems for drug discovery and clinical research, set technical roadmaps, ensure regulatory compliance and AI safety, mentor staff, and represent Sanofi in research collaborations.

The Product Owner leads the development of AI/ML software products for scientific workflows, managing requirements, collaborating with stakeholders, and overseeing agile product delivery.

The role involves managing large-scale AI infrastructure projects, focusing on deployments, risk management, and cross-functional coordination while ensuring alignment with business objectives.

The engineer supports simple data hall designs, drafts AutoCAD drawings, assists with capacity planning, and learns data center principles under supervision.

The AI Infrastructure Design Engineer II develops and maintains data hall designs, performs assessments, collaborates with teams, and mentors junior engineers.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

The Senior Full-Stack Software Engineer will design, build, and maintain secure, scalable web applications using modern technologies, with a focus on AI-assisted development and application security.

The AI Architect will design enterprise-grade AI solutions using Generative AI, LLMs, and orchestration frameworks, focusing on building scalable systems and developing production-ready applications.

Design and implement product experiences using AI tools across various platforms, translating briefs into functional prototypes while collaborating with teams and maintaining design quality.

As Support Engineering Lead, you will debug complex AI platform issues, lead a support engineering team, and improve support processes and automation.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

The role involves enhancing a graph compiler for ML models, optimizing performance across hardware platforms, and collaborating on core technologies.

Design, optimize, and deploy multimodal AI models for real-world applications focusing on vision and language understanding, ensuring accuracy and performance in production systems.

As a Staff ML Research Engineer, you will architect and optimize ML models for drug discovery while ensuring technical excellence throughout the product lifecycle.

The Senior Technical Artist will design AI-driven workflows and tools for game creation, collaborate on multi-platform projects, and integrate artistic assets with AI capabilities.

The AI-Native Marketer will own marketing campaigns, build AI-powered workflows, create content, optimize reporting, and help teams understand AI leverage.

As an AI Implementation Engineer, you will drive the adoption of AI tools, collaborating across teams to build infrastructure, evaluate tools, and develop best practices for AI implementation in a biotech context.