Description:
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