AI Engineer

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

AI 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 application stability and operational efficiency.
• Work closely with Product Owners, Business Analysts, Architects, QA teams, and Developers throughout the delivery lifecycle.
• Contribute to technical design discussions and implementation planning.

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• 10+ years of hands-on software development experience in Java and Python.
• Proven experience designing and delivering enterprise software applications.
• Proven experience transforming software delivery from traditional SDLC methodologies to autonomous AI-driven Application Development Lifecycle (ADLC) platforms, leveraging AI agents to automate planning, implementation, testing, review, integration, and delivery.
• Experience implementing AI-assisted development capabilities within software engineering teams.
• Strong background in solution design, software development, testing, and production support.
• Hands-on experience with Claude Code, GitHub Copilot
• Practical experience applying AI to Software design, Development, Code review, Testing, Documentation, Troubleshooting, Understanding of Prompt engineering, RAG concepts, AI agents
• Context management strategies
• AI evaluation and validation techniques

• Strong proficiency in programming languages Java and Python and software development frameworks.
  • Experience with Microservices, Event-driven architectures, Database design and integration, Secure coding practices
  • Strong understanding of SDLC methodologies, CI/CD pipelines, DevOps practices, Agile delivery approaches

We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. SS&C Technologies Canada Corp. fosters a positive, equitable and progressive workforce and is committed to accommodating applicants with disabilities throughout the hiring process. We will work with applicants requesting accommodation at any stage of this process. If you require any accommodation during the application and hiring process, please contact: [email protected].

No phone calls or email applications please. We thank all candidates for their interest, but only those under consideration will be contacted.

Salary Range: $165,000 - $210,000CAD

This job advertisement is for an existing vacancy which has been posted both internally and externally.

You need to be legally eligible to work at the location(s) specified above and, where applicable, must be able to provide a valid work or study permit, if selected for an interview.

SS&C uses AI tools to help screen and assess applicants by analyzing resumes and applications to identify candidates whose skills match our needs. These tools support, but do not replace, human decision-making

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Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.