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AI Software Engineer

Job in Toronto, Ontario, M5A, Canada
Listing for: SS&C Technologies Holdings
Full Time position
Listed on 2026-08-25
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Full Stack Developer, Backend Developer
Job Description & How to Apply Below
Job Description

AI Software Engineer

Location(s): Toronto - 30 Adelaide Street Location

Status: Full - Time

Get To Know Us:

SS&C is leading the way. We continue to look for today’s and tomorrow’s brightest talent, those that embody a spirit to improve not only their lives, but those around them. From college students to seasoned and experienced professionals, we encourage you to reach out and apply to our welcoming and inclusive environment.

SS&C prides itself on hiring diverse, honest, dynamic individuals, who value collaboration, accountability, integrity, and innovation to name a few. We are a fast-paced environment, who promote flexibility, authenticity and offer a hybrid working model to ensure employees can manage their day and meet both work and personal commitments.

At SS&C, we are embarking on an exciting journey to reimagine software engineering through Artificial Intelligence, and we're looking for an experienced AI Engineer to help lead that transformation.

As an AI Engineer, you will design, develop, and implement AI-enabled solutions that accelerate and automate activities across the entire application delivery lifecycle—from requirements analysis and solution design to software development, testing, production support, and operational excellence.

This is a rare greenfield opportunity to help build and shape the future of AI-driven software delivery within our organization. You will work at the forefront of AI-assisted engineering, helping establish new practices, platforms, and automation capabilities that modernize how software is delivered and supported.

Why You Will Love It Here!

  • Flexibility
    :
    Hybrid Work Model & a Business Casual Dress Code, including jeans
  • Your Future: RRSP Matching Program, Professional Development Reimbursement
  • Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
  • Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
  • Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
  • Training: Hands-On, Team-Customized, including SS&C Learning Institute
  • Extra Perks: Discounts on fitness clubs, travel and more!
  • Wide-Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our Employees

What You Will Get To Do:

  • You will partner closely with business stakeholders, architects, developers, QA teams, and technology leaders to identify opportunities where AI can drive meaningful productivity gains and improve software quality.
  • Using tools such as Claude Code and other AI-assisted development technologies, you will design and implement practical solutions that reduce manual effort, automate repetitive tasks, accelerate delivery, and enhance engineering outcomes.
  • You will also help us evolve from traditional Software Development Life Cycle (SDLC) practices toward an AI-driven Application Development Lifecycle (ADLC), introducing intelligent automation and AI agents that support planning, development, testing, code reviews, troubleshooting, and operational support.

What You Will Bring:

  • Design and implement AI-enabled workflows that improve developer productivity and software quality.
  • Leverage Claude Code and AI-assisted development tools to accelerate project deliverables from requirement analysis till Production activities.
  • Apply AI-assisted approaches throughout the application development lifecycle while maintaining engineering quality standards.
  • Contribute to the evolution of software delivery processes from traditional SDLC approaches toward AI-driven Application Development Lifecycle (ADLC) models.
  • Implement AI agents and automation capabilities that support:
    • Planning
    • Development
    • Testing
    • Review
    • Integration
    • Deployment
    • Operational support
  • Identify opportunities to reduce manual effort and repetitive engineering tasks through AI-driven automation.
  • Support production applications and assist with troubleshooting complex technical issues.
  • Use AI-assisted techniques to accelerate root cause analysis and incident resolution.
  • Create and maintain technical documentation, operational procedures, and knowledge artifacts.
  • Collaborate with operations and support teams to improve…
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