This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

Senior Software

Engineer, Full-Stack Applications - AI Innovation Teams As one of the world’s top three credit ratings agencies, Fitch Ratings plays a critical role in global capital markets by providing credit analysis, ratings, research, and commentary to financial market participants. For over 100 years, Fitch Ratings has been creating value for global markets through its rigorous analysis and deep expertise, which have resulted in a variety of market leading tools, methodologies, indices, research, and analytical products. Join our rapid‑growing Toronto innovation hub, where we’re building production‑grade AI to reshape global credit decisions.

Here, you won’t just ship features—you’ll help reinvent an industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable intelligence at real scale within a collaborative, outcome‑driven community. Want to learn more about our Toronto Innovation Hub?

Senior Software

Engineer to join our new AI Innovation teams in Toronto—where we're building the AI-powered platforms and applications that will transform financial analysis. of what comes next: intelligent applications, full-stack platforms that seamlessly integrate cutting-edge AI capabilities, and user experiences that will fundamentally change how Ratings analysts work and how Fitch delivers insights to global financial markets. Fitch is making a major strategic bet on AI, investing heavily in Toronto as our innovation center, and we're building teams that combine exceptional full-stack engineers with world-class ML engineers.

Senior Software

Engineer , you'll of the applications and infrastructure that bring breakthrough AI to life— driving technical decisions , architecting scalable solutions, implementing backend services, and creating the integrations that make sophisticated ML models accessible and useful. make significant technical impact of transformative AI-powered platforms. experienced full-stack engineers who understand AI's potential and can lead technical initiatives —not AI specialists, but seasoned technologists who can that leverage generative AI, intelligent automation, and ML to transform workflows. where you'll work alongside talented ML engineers, drive technical excellence Lead transformative full-stack applications with AI at the core – Drive architecture and implementation of net-new applications using Java/Springboot, Python, and REACT that integrate cutting-edge generative AI and ML capabilities; own technical decisions that enable elegant user experiences and bring intelligent automation to life Shape technical direction at the intersection of full-stack engineering and AI – Partner directly with ML engineers building breakthrough AI systems; influence architectural decisions; establish patterns for AI integration; while deepening your expertise in AI-powered applications that will define the next generation of financial technology Greenfield innovation with enterprise backing and ownership – Lead technical initiatives building net-new platforms from scratch with ownership of architectural decisions , modern frameworks, and cutting-edge technologies—backed by the resources, compute power, and organizational support that enable you to focus on building breakthrough solutions Toronto as Fitch's AI innovation hub – Be part of our strategic investment in Toronto as a center of excellence for AI-driven innovation; work in one of North America's most vibrant tech ecosystems alongside talented full-stack and ML engineers; establish yourself as a technical leader in this growing innovation center see your architectural decisions directly enable sophisticated AI capabilities; technical leadership Technical leadership and influence – mentor team members , participate in architectural reviews, and grow toward principal/architect/leadership tracks; in AI-powered applications with influence across teams Innovation-first culture with technical ownership – shape technical direction ; technical perspective and experience ; Design and drive implementation of scalable application features using Java/Springboot, Python, and REACT; own architectural decisions establish technical patterns that make AI capabilities accessible and maintainable Lead AI/ML integration architecture – Drive the technical approach for integrating generative AI, LLMs, and intelligent automation into full-stack applications; for connecting ML models with user experiences; own technical decisions on how AI features are architected and implemented on code quality, drive CI/CD pipeline improvements, and lead technical discussions that balance innovation with reliability; own technical debt management and architectural improvements Drive technical decisions across teams – with ML engineers, product managers, and business stakeholders; influence technical strategy ; facilitate architectural discussions ; between AI innovation and application delivery through technical leadership Provide technical mentorship conduct design reviews , drive technical growth through thoughtful feedback, and contribute to building a Balance innovation with pragmatic delivery – lead technical discussions proactively identify and solve complex technical challenges ; own building applications Own production reliability and technical excellence – drive system performance establish monitoring and observability practices , and Deep full-stack engineering expertise – of hands-on experience building web applications, with in Java, Springboot, Python, REACT, and modern web technologies; of delivering complex, production-quality full-stack solutions at scale Polyglot programming mastery – with both Java and Python; drive technical decisions Strong architectural and design expertise – ability to make and own architectural decisions Bachelor's degree in Computer Science, Software Engineering, or related field (of software development fundamentals including test-driven development, advanced Git workflows, sophisticated CI/CD pipelines, and driving code quality influence technical direction , communicate complex technical concepts to diverse audiences,



and drive alignment across ML engineers, product, and stakeholders Strategic mindset with AI understanding – Solid understanding of how AI/ML and generative AI can transform workflows; comfort with technical ambiguity; of AI-powered capabilities in production applications Advanced problem-solving and technical depth – Exceptional analytical skills , experience navigating complex technical challenges, ability to drive multiple strategic initiatives , and proven success tackling sophisticated problems at the intersection of full-stack engineering and AI with Docker, Kubernetes/EKS, AWS/Azure, microservices architecture, sophisticated CI/CD pipelines, and AI integration and production experience – AI/ML capabilities in production applications, working with LLM APIs, generative AI services, or building systems that leverage emerging AI technologies; making AI useful in production environments Advanced frontend architecture – with modern REACT patterns, complex state management, performance optimization, and architecting intuitive user experiences Technical leadership in innovation environments – leading technical initiatives driving architectural decisions owning technical direction in early-stage initiatives built from the ground up Mentorship and technical influence – driving technical growth technical leader into elegant technical solutions Technical thought leadership – in Toronto's tech community, speaking at meetups or conferences, contributing to open source, or recognized expertise in relevant technical domains for architectural practices, clean code, comprehensive testing, and maintainable systems; recognized for technical craftsmanship establishing quality standards Track record of technical evolution – leading architectural transformations , and expanding technical capabilities of innovative AI-powered applications, drive technical excellence , and Our global network of colleagues comes together to accomplish things greater than they ever could alone. We are building incredible things at Fitch and we invite you to join us on our journey.

For more information please visit our websites: | | If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. Expected base pay rates for the role will be between 130,000 CAD and 180,000 CAD.

Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch. #

📌 Senior Software Engineer, Full-Stack Applications - AI Innovation Teams (Toronto)
🏢 Fitch Group
📍 Toronto