Lead Software Engineer, Full-Stack Applications - Innovation Teams

Build transformative greenfield solutions from the ground up – Design and architect net-new agentic systems and intelligent platforms using Java/Springboot, REACT, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates

Drive AI innovation and experimentation boldly – Lead exploration of generative AI, intelligent automation, agentic workflows, LLMs, RAG architectures, and other emerging technologies; create proofs-of-concept; evaluate what's transformative versus what's hype; and turn experiments into production capabilities

Define technical vision and architecture for the future – Shape architectural decisions for AI-driven systems, establish technical standards, drive technology choices, and influence how Fitch approaches intelligent platforms across the organization

Lead through innovation and influence – Partner with product visionaries, senior stakeholders, and cross-functional teams to translate ambitious ideas into elegant technical solutions; mentor engineers; and foster a culture of experimentation, learning, and calculated risk-taking

Champion quality while moving fast – Balance innovation velocity with engineering excellence; implement CI/CD for rapid iteration; solve novel technical challenges at the intersection of AI and production systems; and build solutions that are both cutting-edge and reliable

Shape team culture and direction – Help define how the Tiger Team operates, what "good" looks like, and how we balance exploration with delivery; model the curiosity, boldness, and pragmatism needed to succeed in a greenfield innovation environment

Deep technical expertise – 15+ years of hands-on experience building enterprise applications or AI/ML systems, with strong proficiency in modern programming languages, frameworks, and production environments (Java/Springboot/REACT experience highly valued)

Architectural mastery and greenfield experience – Proven track record of designing scalable systems from scratch; deep understanding of software architecture, design patterns, and the ability to make bold architectural decisions in ambiguous environments

Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)

Innovation and experimentation mindset – Demonstrated history of exploring emerging technologies, building proofs-of-concept, learning from failures, and translating experiments into production systems; comfort with ambiguity and rapid change

Leadership and influence – Track record of driving technical decisions, mentoring engineers, leading initiatives in fast-moving environments, and building credibility through results and vision

AI curiosity or expertise – Genuine excitement about AI's potential to transform workflows; ability to separate signal from noise in emerging technology spaces; hands-on experience with AI/ML technologies is a significant advantage

Outstanding collaboration and communication – Ability to articulate technical vision to diverse audiences, work effectively with cross-functional teams, and bring your whole self while remaining open to others' perspectives

Hands-on AI/ML experience – Direct experience with generative AI, LLMs, RAG architectures, agentic systems, intelligent automation, prompt engineering, or integrating AI capabilities into production applications

Modern cloud-native and DevOps expertise – Deep experience with Docker, Kubernetes/EKS, AWS/Azure, microservices architecture, sophisticated CI/CD pipelines, and cloud-native development patterns

Startup or innovation team experience – History of building greenfield products, working in fast-paced innovation environments, or being part of 0-to-1 initiatives within larger organizations

Technical thought leadership – Track record of establishing technical direction, contributing to open source, speaking at conferences, or writing about emerging technologies and their practical applications

Financial services domain knowledge – Understanding of analytical workflows, regulatory processes, credit ratings, or how technology enables better financial decision-making

Toronto tech community connection – Active participation in Toronto's AI/ML or software engineering communities, or strong interest in being part of Toronto's growing technology ecosystem

If you're ready to build transformative AI systems with organizational backing, talented colleagues, and the resources to succeed—this is the moment to join us.

At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.

Every team member is essential to our business, and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.

We are building incredible things at Fitch and we invite you to join us on our journey.

Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.

For more information please visit our websites: www.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com

Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. 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.

Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. 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.

FOR TORONTO ROLES ONLY: Expected base pay rates for the role will be between 180,000 CAD and 230,000 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.

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