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SS&C

Cloud-based SaaS for financial operations

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • A 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.
  • A strong background in solution design, software development, testing, and production support.
  • Hands-on experience with Claude Code and GitHub Copilot.
  • Practical experience applying AI to software design, development, code review, testing, documentation, and troubleshooting; understanding of prompt engineering, retrieval-augmented generation (RAG) concepts, and AI agents.
  • Knowledge of context management strategies and AI evaluation and validation techniques.
  • Strong proficiency in Java and Python and software development frameworks.
  • Experience with microservices, event-driven architectures, database design and integration, and secure coding practices.
  • A strong understanding of SDLC methodologies, CI/CD pipelines, DevOps practices, and Agile delivery approaches.
  • Legal eligibility to work at the specified location and, where applicable, ability to provide a valid work or study permit if selected for an interview.

Responsibilities

  • 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 requirements analysis through production activities.
  • Apply AI-assisted approaches throughout the application development lifecycle while maintaining engineering quality standards.
  • Contribute to evolving software delivery processes from traditional SDLC approaches toward AI-driven ADLC models.
  • Implement AI agents and automation capabilities supporting planning, development, testing, review, integration, deployment, and 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.
  • Partner closely with business stakeholders, architects, developers, QA teams, and technology leaders to identify opportunities where AI can drive productivity gains and improve software quality.
  • Design and implement practical solutions using Claude Code and other AI-assisted development technologies to reduce manual effort, automate repetitive tasks, accelerate delivery, and enhance engineering outcomes.
  • Help evolve traditional SDLC practices toward an AI-driven ADLC, introducing intelligent automation and AI agents to support planning, development, testing, code reviews, troubleshooting, and operational support.

About the Company

SS&C

Cloud-based SaaS for financial operations

SS&C Technologies provides cloud-based software and services for financial services firms, focusing on investment and asset management. Its subscription-based SaaS tools automate back-office tasks, portfolio and investment management, and related workflows, all hosted in the cloud. The platform integrates with other financial systems to manage assets, processing, reporting, and compliance from a single place, helping reduce manual work and costs. By offering breadth across wealth, asset, and property management with a services-enabled SaaS model, its goal is to automate, standardize, and optimize back-office operations so firms can focus on managing investments and client relationships.

Company size
10,001+
Company stage
IPO
Headquarters
Windsor, CT
Founded
1986

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