AI Implementation Engineer - Copperleaf (Canada)

Company Description

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

Copperleaf is the world’s leading AI powered Asset Investment Planning (AIP) solution, enabling organizations to make better decisions – faster, smarter and with more confidence.

Together Copperleaf and IFS offer the first end-to-end asset lifecycle management solution. Underpinned by Industrial AI, the combining of Copperleaf and IFS will allow our asset intensive customers to deliver on their moment of service through strategic allocation and execution of CAPEX and OPEX; balancing expenditure, business objectives, risk and optimal asset performance.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

Role Overview

As an AI Implementation Engineer, you’ll lead the deployment and operationalization of advanced AI/ML models in production environments. You will work closely with data scientists, software engineers, and client teams to ensure scalable, secure, and reliable model integration. Your contributions will enable real-world decision-making powered by machine learning and advanced analytics.

Key Responsibilities

• Own the technical implementation of AI models across internal and client-facing systems
• Design and maintain robust, reusable deployment pipelines and MLOps workflows
• Integrate AI solutions with enterprise platforms and APIs
• Monitor, validate, and tune models post-deployment to ensure quality and performance
• Identify and resolve production issues through root-cause analysis and debugging
• Collaborate with cross-functional teams to understand use cases and translate into system requirements
• Mentor junior engineers and promote knowledge-sharing within the team
• Contribute to continuous improvement of deployment standards, tooling, and practices

Qualifications

Qualifications & Experience

Must-Have

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 3–5 years of experience in AI/ML engineering, MLOps, or software development
• Strong proficiency in Python, Git, and CI/CD automation
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Solid understanding of model lifecycle management and monitoring best practices
• Excellent technical documentation and communication skills

Nice-to-Have

• Experience with ML frameworks (TensorFlow, PyTorch) and tools like MLflow or SageMaker
• Familiarity with security, compliance, and data governance in AI systems
• Knowledge of time series, NLP, or optimization models
• Previous work with edge deployments or streaming pipelines

Core Skills & Competencies:

Technical / Hard Skills

• MLOps tooling, DevOps, cloud-native architectures
• Data engineering and transformation pipelines
• API and system integration

Behavioral / Soft Skills

• Analytical thinker with a systems mindset
• Proactive problem solver and technical leader
• Effective communicator with a collaborative approach
• Comfortable balancing delivery speed with engineering quality

Travel Requirements

• Occasional travel (<10%) depending on project needs

Additional Information

What We’re Offering

• Salary Range: $90,000 CAD to $155,000 CAD annually + bonus
• Flexible paid time off, including sick and holiday
•  Medical, dental, & vision insurance
•  RRSP with Company contribution
•  Life insurance and disability benefits
•  Tuition assistance
•  Community involvement and volunteering events

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.