AI Platform Engineer II at Braze | Toronto

At Braze, our team is not just a workforce; we are a community of approachable, kind, and passionate individuals. We are united by a shared commitment to excellence, teamwork, and a harmonious work-life balance as we navigate rapid global growth while promoting equity and opportunity within and beyond our organization.To succeed in our environment, you must be ready to set high standards for yourself and inspire those around you. We believe there is always a way to contribute; autonomy, accountability, and openness to new perspectives are critical to our success.Our insatiable curiosity and eagerness to share diverse interests create a unique vibrancy in our culture. If you are motivated to tackle exciting challenges and embrace change with action, you will have the opportunity to make a significant impact alongside a dedicated and passionate team. If Braze resonates with you, we are eager to meet you!WHAT YOU'LL DOJoin the AI Platform team at Braze to develop and expand the BrazeAI Decisioning Studio—a cutting-edge reinforcement learning platform that spearheads AI Decisioning. This platform facilitates continuous experimentation and tailors customer engagement at an individual level, enabling brands to evolve from traditional rule-based campaigns to autonomous, self-optimizing interactions. You will work at the intersection of cloud-native infrastructure, data-intensive systems, and machine learning in production.Key Responsibilities:Design and uphold essential services and subsystems on our AI platform, balancing performance with cost efficiency.Implement cloud-native solutions that guarantee reliability, scalability, and fault tolerance.Resolve production incidents comprehensively, delving deep to identify root causes and apply sustainable fixes.Contribute to observability practices using Sentry and Datadog to proactively identify issues and reduce downtime.Collaborate with data scientists, ML engineers, and product teams to transform real-world use cases into platform capabilities.Enhance the developer experience by optimizing workflows, improving tools, and advocating for MLOps best practices.Technological Stack:Core Data & ML: Python, Ibis, FastAPI, Dataproc (Spark), SQL, BigQuery, MLflow, StreamlitPlatform & Infrastructure: Google Cloud Platform, AWS, Kubernetes, Helm, TerraformWorkflows & Orchestration: Airflow, RabbitMQ, CeleryCI/CD: GitHub Actions, Jenkins

Braze seeks a Data Scientist specializing in AI Deployment for its Toronto office. This position involves applying advanced data analysis and machine learning techniques to enhance Braze’s products and services. What you will do Work closely with teams across the company to design and implement AI-driven solutions. Build and deploy strategies that use machine learning to improve product features and performance. Apply data analysis methods to identify opportunities for product and service enhancements. Collaboration This role relies on regular collaboration with colleagues from multiple departments to ensure AI initiatives align with business goals and customer needs.

At Braze, we pride ourselves on our exceptional team—approachable, kind, and passionate individuals dedicated to our mission.We strive to foster this passion by setting high expectations, promoting collaboration, and ensuring a harmonious work-life balance as we grow rapidly on a global scale, all while advocating for equity and opportunities within and beyond our organization.To thrive in this environment, you should be ready to hold yourself and others to high standards. There are always opportunities to contribute: exercising independence, taking responsibility, and welcoming new viewpoints are vital for our sustained success.Our inherent curiosity and willingness to share diverse interests create a vibrant culture that is uniquely ours.If you're motivated to tackle exciting challenges and have a proactive approach to change, you will find the empowerment to make a significant difference alongside a dedicated and enthusiastic team. If Braze resonates with you, we look forward to connecting!WHAT YOU'LL DOAs a Platform Software Engineer (PSWE), you will design and develop the distributed systems that underpin Braze's extensive background processing platform. You will manage Sidekiq at Braze, which processes over a trillion jobs daily across Kubernetes clusters worldwide. Your role will encompass autoscaling systems, metrics pipelines, reliable job execution, and the internal frameworks that ensure distributed processing is safe for application teams.Operating at a colossal scale, Braze serves 3.3 billion monthly active users, collects hundreds of billions of data points monthly, and sends billions of messages each day. Our technology stack includes Ruby on Rails, Go, MongoDB, Redis, and Kafka. As a PSWE, you will collaborate with application teams to enhance the Sidekiq platform they rely on and improve its reliability, performance, and developer experience.Main responsibilities:Develop Braze’s embedded frameworks that enable large-scale distributed processing.Design, build, and operate internal software frameworks that support Braze’s asynchronous and background processing systems at scale.Enhance and extend frameworks built on technologies like Sidekiq to reliably execute over a trillion jobs per day across a globally distributed platform.Oversee scaling behavior, reliability guarantees, failure modes, and operational safety of these systems.Provide structured abstractions, tooling, and guardrails that allow application teams to utilize distributed processing safely while minimizing complexity.Improve observability, debuggability, and overall system performance.

Join Affinity as a Senior AI Engineer on our AI Platform team, where you will leverage your expertise in artificial intelligence to drive innovative solutions. In this role, you will collaborate with cross-functional teams to design, develop, and implement AI models that enhance our product offerings. You will work in a fast-paced environment, utilizing cutting-edge technologies to solve complex challenges and improve user experiences.

Role Overview Paytm is seeking a Lead Staff Platform Engineer focused on AI Infrastructure in Toronto, Canada. This position centers on building and scaling the systems behind Paytm's AI inference platform, which supports both internal teams and enterprise clients as they develop new customer-facing AI solutions. What You Will Do Own and manage GPU infrastructure, model hosting, and model serving for the AI inference platform. Enable multi-model routing across different modalities, including voice, vision, and fintech workflows. Oversee deployment of proprietary and third-party models on shared GPU and accelerator clusters. Develop self-service platforms that let teams provision compute, deploy, and customize models using APIs and control planes. Establish the AI control plane for Paytm Intelligence (Pi), with a focus on policy-driven routing, quotas, observability, and cost visibility. Impact Areas Accelerate delivery of AI agents and features across payments, risk management, fraud detection, collections, support, and developer tooling. Improve reliability and efficiency of hardware utilization. Give teams the tools to use AI infrastructure without rebuilding core systems each time. Location This role is based in Toronto, Canada.

Join Braze as an Engagement Manager II, where you will play a pivotal role in enhancing customer engagement through strategic initiatives. In this role, you will collaborate closely with cross-functional teams to deliver exceptional customer experiences and drive impactful outcomes for our clients. Your expertise will help shape the future of customer engagement, ensuring that our clients maximize the value of the Braze platform.

Join our dynamic team at Harvey as a Software Engineer, where you will play a pivotal role in shaping our cutting-edge AI platform. This is an exciting opportunity to work with innovative technologies and contribute to projects that push the boundaries of artificial intelligence.As a Software Engineer, you will collaborate with cross-functional teams to design, develop, and implement software solutions that enhance our AI capabilities. Your work will directly impact the efficiency and effectiveness of our platform, helping to drive our mission forward.

Join shyftlabs as a Sales Engineer specializing in AI and Data Platforms. In this role, you will leverage your technical expertise to support the sales team in delivering innovative solutions to our clients. You will work closely with customers to understand their needs and demonstrate how our products can drive their success. Your ability to communicate complex technical concepts in an understandable way will be key to your success.

RAVL is a specialized technology advisory and engineering firm dedicated to enhancing the financial services sector. Our mission is to empower clients to achieve significant returns on their technology investments through innovative solutions.We are expanding our engineering team and are seeking talented AI Platform Engineers to create cutting-edge AI systems for our clients. This role involves the development of Generative AI platforms, enabling agent-based architectures, and designing robust orchestration and integration layers tailored for enterprise AI applications.The positions will cover both current projects and future hiring needs, emphasizing the creation of secure, scalable, and production-ready AI platforms.

Wisedocs is a rapidly expanding AI platform revolutionizing the insurance claims analysis process. With approximately $20 million USD in funding, over 100 global team members, and more than 90 clients in North America and Australia, we're on a trajectory of doubling our revenue year over year.Founded by professionals who have intimately experienced the claims process, Wisedocs merges profound industry knowledge with cutting-edge AI trained on a wealth of over 100 million documents. Our platform transforms intricate medical records into straightforward, structured insights, all under the guidance of expert human oversight.Join our mission-driven team dedicated to creating intelligent products that simplify complexity, speed up decision-making, and deliver meaningful impacts when it matters most.Role OverviewWe are seeking a Senior Solutions Engineer to collaborate with customers, Sales, Product, and Services teams to architect and implement effective solutions for intricate enterprise scenarios.As we enhance our market presence, customer challenges are becoming increasingly complex and do not always align directly with our existing product capabilities. In this position, you will be tasked with crafting practical, high-impact solutions that integrate current offerings with potential innovations, playing a vital role in ensuring Wisedocs can adapt to complex customer requirements while maintaining scalability.This role is hands-on and collaborative, intertwining solution design, customer interaction, and cross-functional teamwork to guarantee successful outcomes. If you thrive on tackling real-world challenges, collaborating across teams, and transforming ambiguity into clear solutions, we would love to hear from you.Key ResponsibilitiesSolution Design & ExecutionConduct discovery sessions to comprehend customer workflows, constraints, and objectives.Create clear, practical solution strategies that leverage Wisedocs' capabilities.Transform ambiguous challenges into actionable solution frameworks.Ensure that proposed solutions deliver value to customers while remaining feasible for implementation.Customer EngagementLead solution-focused demonstrations, workshops, and proof-of-concept initiatives.Assist customers in understanding how Wisedocs integrates into their workflows and enhances outcomes.Build trust through a deep understanding of customer needs and use cases.Product CollaborationCollaborate with Product teams to provide grounded, actionable insights from customer interactions.Identify trends in enterprise use cases that inform product roadmap decisions.

At RAVL, we empower technologists to fast-track their careers.We bridge the gap between strategy and execution, prioritizing the well-being of our team members and measuring success through the enduring impact we create. Our mission is to assemble a team that centers sustainable business outcomes in every aspect of our work.Our goal is to enhance our clients’ situations and foster an environment where our team is proud to Build. Better.As a Platform Engineer at RAVL, you will be responsible for designing and implementing the platforms, infrastructure, and automation that drive modern engineering teams. You will utilize your extensive technical expertise, inquisitiveness, and practicality to construct cloud-native environments that ensure speed, security, and reliability at scale. Your role will involve automating processes wherever feasible, codifying environments, and making continuous delivery a standard practice for both RAVL and our clients.

As an Engagement Manager II at Braze, you will play a crucial role in driving client success and satisfaction. You will collaborate with cross-functional teams to deliver exceptional service and ensure that our clients are maximizing the value of their Braze investment. Your ability to build strong relationships and provide strategic insights will be key to your success.

Rivian and Volkswagen Group Technologies have joined forces to advance the future of electric vehicles. This partnership brings together deep expertise in automotive engineering, software, and cloud connectivity. The focus is on building technology that sets new standards for software-defined vehicles worldwide, with an emphasis on AI, connectivity, and security. Role overview The Senior Software Engineer - AI Platform will lead architectural design and strategic development for the GenAI platform. This position centers on integrating large language models (LLMs) into both internal and customer-facing applications at scale. The aim is to drive cognitive automation, streamline workflows, and support better decision-making across the organization. What you will do Design and develop AI-driven applications using large language models. Integrate LLMs into production systems for both internal teams and external customers. Establish best practices for building distributed systems that are resilient, scalable, and observable. Deliver production-grade tools that are reliable and maintainable. Location This role is based in Toronto, Ontario.

Join Braze as a Senior Software Engineer I in Toronto, where you will leverage your expertise in software development to create innovative solutions. You will collaborate with cross-functional teams to design, develop, and maintain complex systems while ensuring high performance and responsiveness.

Role overview Harvey seeks a Staff Software Engineer in Toronto to drive the evolution of its AI Platform. The focus is on designing and building scalable systems that can adapt to business needs and deliver reliable performance. Key responsibilities Architect and develop essential components for the AI Platform, prioritizing both performance and scalability. Collaborate with engineers and data scientists to address complex technical challenges. Enhance the platform’s stability, speed, and overall functionality. Collaboration and impact This role works alongside a talented group in engineering and data science. Contributions will have a direct effect on the platform’s capabilities and support Harvey’s business outcomes.

Join Spotify as an Engineering Manager II leading our Analytics Platform team. In this pivotal role, you will spearhead the development of advanced analytics solutions that drive strategic decision-making and enhance user experiences. Collaborate with cross-functional teams to deliver innovative products that leverage data insights.

Role Overview Paytm is hiring a Staff AI Platform Engineer in Toronto, Canada, with a focus on Inference and Agentic Systems. This role centers on designing and improving AI-powered platforms that support intelligent, agent-like features for users and business applications. What You Will Do Work with a skilled team to build and refine AI solutions that support agentic behaviors and inference-driven capabilities. Apply experience in machine learning, software engineering, and system architecture to develop and scale reliable AI platforms. Contribute technical leadership and hands-on expertise to projects that advance Paytm’s AI offerings. Key Skills Deep knowledge of machine learning and inference methods Strong background in software engineering Experience designing and maintaining complex system architectures

Marble AI develops AI-powered tools designed to help accounting firms and their clients manage taxes with greater efficiency. The team’s work centers on simplifying complex tax workflows for mid-sized and large firms. As an early-stage company, Marble AI encourages collaboration and focuses on solving important challenges for its customers. Role overview The Platform Engineer will play a key role in strengthening and expanding the infrastructure that supports Marble AI’s tax platform. Working closely with the engineering team, this position aims to accelerate product development and maintain secure systems capable of handling sensitive financial information. This role combines elements of infrastructure, DevOps, and Site Reliability Engineering. The Platform Engineer will design and maintain the platform, enhance developer tools, and ensure that systems remain secure, observable, and resilient. Input into the direction of the data platform and security practices across the technology stack is also expected. What you will do Build and manage cloud infrastructure using infrastructure-as-code principles. Take responsibility for system reliability, observability (with OTEL), and incident response. Design and refine developer tooling and CI/CD pipelines. Collaborate with product and data teams to address scalable data platform needs. Maintain strong security practices, especially in handling sensitive tax data. Optimize system performance, scalability, and cost across services. Contribute to infrastructure, backend systems, and developer workflows. Requirements Extensive experience with cloud infrastructure such as AWS or similar platforms. Hands-on expertise with Kubernetes, Terraform, and Helm. Background in DevOps, SRE, or platform engineering roles. Experience building and maintaining CI/CD pipelines or developer tools. Strong understanding of distributed systems, networking, and system reliability. Ability to deliver practical solutions while considering long-term system design. Location Toronto

Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.

Braze fosters a community grounded in approachability, kindness, and authentic enthusiasm. The company values high standards, teamwork, and a healthy work-life balance while expanding globally and promoting equity and opportunity both within and beyond the organization. Curiosity, openness to new ideas, and a commitment to sharing knowledge shape the workplace culture. Role overview The Senior Business Intelligence Engineer, based in Toronto, joins a collaborative BI Engineering team dedicated to building and maintaining data pipelines and products that support decision-making across Braze. This position works closely with engineers and stakeholders to strengthen data infrastructure, deliver reliable metrics, and implement scalable processes that support the company’s growth. What you will do Collaborate with stakeholders to clarify requirements and translate them into scalable data models, clear metric definitions, and maintainable dbt implementations. Manage and enhance the semantic layer and curated warehouse models by defining reusable metrics and dimensions. Work with analytics and data engineering teams throughout the metric lifecycle, including definition, approval, deprecation, documentation, and tracking lineage from semantic objects to downstream users. Improve data quality by designing and maintaining tests and monitoring systems that ensure metric consistency as the business evolves. Design and communicate data flows, dependencies, and SLAs for assigned areas, coordinating with Data Engineering and platform teams when orchestration, warehouse behavior, or access patterns impact reliability or costs. Mentor engineers and analysts through code reviews and collaborative projects to strengthen BI engineering practices and reduce incidents.