Sr. Pega Engineer

Work Location Toronto, Ontario, Canada Hours 37.5 hours per week Line of Business Technology Solutions Pay Details Base salary: $96,900 - $136,800 CAD per year. Additional compensation and benefits may be offered based on experience and qualifications. TD is committed to fair and equitable compensation opportunities. Job Description We are seeking an experienced Pega Tech Lead with strong development skills, proven leadership abilities, and a forward‑looking mindset toward AI‑driven, model‑based decisioning. The ideal candidate will have deep expertise in cloud‑based Pega platforms, Smart Dispute framework, and integration troubleshooting. In addition to delivering Pega solutions end‑to‑end, the ideal candidate must be keen to adopt an AI‑first approach, leveraging decisioning, analytics, and GenAI capabilities to enhance fraud detection, dispute outcomes, and operational efficiency. Responsibilities Lead the end‑to‑end technical design and delivery of Pega‑based solutions. Provide technical leadership to a team of 3–4 Pega developers. Collaborate with business analysts, testers, and architects to translate business requirements into technical solutions. Troubleshoot complex issues related to integration and performance; diagnose and resolve cases. Champion an AI‑first and data‑driven approach in the design of dispute and fraud workflows. Work closely with architects, data science, and analytics teams to consume predictive models, scores, and decision strategies within Pega. Design and integrate model‑based decisioning using Pega Decisioning, adaptive models, or external ML models. Evaluate and apply Pega GenAI capabilities (e.g., summarization, insights, next‑best‑action support) where they add real business value. Identify opportunities to automate investigations, reduce manual effort, and improve accuracy using AI‑assisted decision support. Stay current with emerging AI, GenAI, and fraud‑analytics trends and translate them into practical platform enhancements. Required Skills & Qualifications 6–7 years of experience in Pega PRPC development. Experience working on Smart Dispute or similar financial dispute frameworks is a must. Strong knowledge of case lifecycle design, UI, data modeling, and ruleset management. Proven experience in debugging and resolving integration and performance issues. Experience with Pega 8.x+ versions and deployments on cloud platforms (Pega Cloud, AWS, etc.). Knowledge of Agile methodologies and working in Agile/Scrum teams. Excellent communication and leadership skills to guide junior developers. Strong understanding of model‑driven and rules‑based decisioning in enterprise platforms. Experience integrating predictive models, scores, or decision strategies into Pega workflows. Experience with Pega GenAI features (e.g., summarization, knowledge assist, decision support) is highly desirable. Ability to assess where AI adds value vs. deterministic rules are more appropriate, with a pragmatic engineering mindset. Strong collaboration skills to bridge business, platform, and data science teams. Preferred Pega CSA and CSSA certifications. Experience working with financial institutions or dispute systems. Experience applying AI / ML concepts in fraud, dispute management, or risk decisioning. Familiarity with Pega Decisioning, Customer Decision Hub (CDH), or analytics components. Experience consuming external ML models via APIs and embedding them into enterprise workflows. Demonstrated interest in innovation, automation, and intelligent decision platforms. Additional Responsibilities AI, Decisioning & Innovation responsibilities are integral to this role. The Pega Tech Lead will: Champion an AI‑first and data‑driven approach in dispute and fraud workflows. Work closely with architects, data science, and analytics teams to consume predictive models, scores, and decision strategies within Pega. Design and integrate model‑based decisioning using Pega Decisioning, adaptive models, or external ML models. Evaluate and apply Pega GenAI capabilities where they add real business value. Identify opportunities to automate investigations, reduce manual effort, and improve accuracy using AI‑assisted decision support. Stay current with emerging AI, GenAI, and fraud‑analytics trends and translate them into practical platform enhancements. Who We Are TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience; we believe all colleagues are customer facing. Through regular leadership and development conversations, mentorship and training programs, we support you toward your goals. Our Total Rewards Package Our Total Rewards package reflects the investments we make to help colleagues achieve their financial, physical, and mental well‑being goals. Total Rewards at TD includes a base salary, variable compensation, and several key plans such as health and well‑being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Additional Information This job opportunity is subject to provincial regulation for employment purposes. Each province or territory within Canada may have its own set of regulations and requirements. Colleague Development Regular career, development and performance conversations with your manager, access to an online learning platform and mentoring programs help unlock future opportunities. Training & Onboarding We provide training and onboarding sessions to ensure you have everything you need to succeed in your new role. Interview Process We reach out to candidates of interest to schedule an interview and communicate outcomes via email or phone call. Accommodation Accessibility is important to us. Let us know if you need accommodations (accessible meeting rooms, captioning for virtual interviews, etc.) to remove barriers throughout the interview process. Language Requirement (Quebec only) Sans Objet #J-18808-Ljbffr