Join a new Montréal-based team and help build the platform foundations required to bring AI solutions into production reliably. As part of the Energy Intelligence initiative, you will create the infrastructure, automation, observability, and governance needed to develop, evaluate, release, deploy, and operate models across cloud, on-premises, edge, and disconnected environments.
Embedded within the AI team, you will develop reusable, self-service platform capabilities for AI engineers and product development teams. You will work closely with the Principal Azure Cloud Architect, software developers, cybersecurity teams, and responsible AI stakeholders to establish reliable and secure ways to manage models, prompts, artifacts, environments, and releases.
This role offers the opportunity to solve complex platform and deployment challenges while helping teams move from experimentation to dependable product operations. You do not need prior experience with every environment or technology listed. We value strong foundations in automation, software engineering, and MLOps, along with the ability to learn, collaborate across disciplines, and make progress in an evolving technical environment.
What you'll be doing - Build and maintain automated pipelines for model development, evaluation, packaging, release, and deployment.
- Enable reliable model inference across cloud-hosted, containerized, on-premises, edge, and disconnected environments.
- Implement model registries, artifact management, lineage, versioning, and release controls to support traceability throughout the model lifecycle.
- Create reproducible development and evaluation environments that enable consistent testing and validation.
- Establish monitoring for model quality, latency, availability, resource consumption, and cost.
- Automate security scanning, dependency management, testing, and policy enforcement across AI development and deployment workflows.
- Implement controlled processes for promoting models and prompts across development, test, and production environments.
- Support GPU and CPU inference workloads and optimize performance, resource utilization, and cost.
- Develop rollback, fallback, and incident-response mechanisms to support reliable product operations.
- Collaborate with cybersecurity and responsible AI stakeholders to incorporate security, governance, and responsible AI requirements into the platform.
- Develop reusable, self-service platform capabilities that enable AI engineers and product development teams to build, evaluate, and deploy AI solutions more efficiently.
What you bring - Experience with cloud platforms, containers, Kubernetes, CI/CD pipelines, and infrastructure as code.
- A background in deploying and operating machine-learning or AI systems.
- Proficiency in software development and automation.
- Knowledge of monitoring, reliability, security, and release management practices.
- Familiarity with model packaging, inference services, and artifact management.
You might also have - Familiarity with Azure AI and machine-learning services.
- Practical knowledge of optimizing and deploying small language models.
- Exposure to disconnected, offline, or edge environments.
- A background in regulated or security-sensitive product environments.
- A background in applied AI, building technologies, or energy management would be an asset.
We recognize that skills and competencies can be developed through a variety of experiences, both professional and personal. Even if you don't meet every single requirement listed, we still encourage you to apply. Your unique background and perspective could be exactly what we're looking for.
This job posting represents an active opportunity within our team. All applications are reviewed directly by our recruitment professionals, and no AI is used in the screening or selection process.
Let us learn about you! Apply today.
You must submit an online application to be considered for any position with us. This position will be posted until filled.
At Schneider, we believe that every employee is a talent who deserves equal opportunities. This means you matter. Every individual needs to feel valued, supported, and treated fairly to do their best work.
Our Total Rewards is our way of saying: "We see you. We value you". It's more than just pay and benefits- it's a meaningful investment in you. It is designed for you to perform, grow, feel safe, and elevate your potential to shine as an impact maker.
The expected pay range is CAD 114,750 - CAD 162,000 per year. This pay range includes base pay and short-term incentives.
For Ontario applicants, this posting complies with provincial law which does not require disclosure of the pay range. Inquiries regarding the pay range can be directed to the recruiting / hiring manager.
Schneider Electric is there when it matters most to you
Our Total Rewards package outlines all the benefits and support you'll enjoy as part of the Schneider Electric team:
Care for yourself and your family. We ensure you feel secure with benefits that help you and your family thrive: insurance coverage for health, inclusive of medical, dental, vision, basic life, accident, and disability insurance; telemedicine program; paid family leaves; parental and care leave; employee assistant program with mental, family, and legal counselling and flexible work arrangements.
Invest and plan your future. We help you plan and invest for the future with competitive pay and programs: base salary; incentive plans; employee share ownership plan; retirement plan with employer pension match.
Grow your skills and career. We commit to helping you grow with ongoing performance and development conversations, Senior Talent Program, global career opportunities, access to our Schneider Career Hub for new positions, projects, and mentors, and learning platforms like Coursera to equip you with the skills for today and tomorrow.
Team up in the workplace. We encourage teaming up through project opportunities on the Schneider Career Hub, smart ways to collaborate, celebrating contributions via a recognition program (including service anniversary), sharing your voice in our engagement survey, and fostering an inclusive, caring workplace.
Support your community. We make a difference in your community with volunteer leave, programs through the Schneider Electric Foundation , and initiatives that support youth education.
Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
Become an IMPACT Maker with Schneider Electric - apply today!
€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
Responsibilities
Join a new Montréal-based team and help build the platform foundations required to bring AI solutions into production reliably. As part of the Energy Intelligence initiative, you will create the infrastructure, automation, observability, and governance needed to develop, evaluate, release, deploy, and operate models across cloud, on-premises, edge, and disconnected environments.
Embedded within the AI team, you will develop reusable, self-service platform capabilities for AI engineers and product development teams. You will work closely with the Principal Azure Cloud Architect, software developers, cybersecurity teams, and responsible AI stakeholders to establish reliable and secure ways to manage models, prompts, artifacts, environments, and releases.
This role offers the opportunity to solve complex platform and deployment challenges while helping teams move from experimentation to dependable product operations. You do not need prior experience with every environment or technology listed. We value strong foundations in automation, software engineering, and MLOps, along with the ability to learn, collaborate across disciplines, and make progress in an evolving technical environment.
What you'll be doing - Build and maintain automated pipelines for model development, evaluation, packaging, release, and deployment.
- Enable reliable model inference across cloud-hosted, containerized, on-premises, edge, and disconnected environments.
- Implement model registries, artifact management, lineage, versioning, and release controls to support traceability throughout the model lifecycle.
- Create reproducible development and evaluation environments that enable consistent testing and validation.
- Establish monitoring for model quality, latency, availability, resource consumption, and cost.
- Automate security scanning, dependency management, testing, and policy enforcement across AI development and deployment workflows.
- Implement controlled processes for promoting models and prompts across development, test, and production environments.
- Support GPU and CPU inference workloads and optimize performance, resource utilization, and cost.
- Develop rollback, fallback, and incident-response mechanisms to support reliable product operations.
- Collaborate with cybersecurity and responsible AI stakeholders to incorporate security, governance, and responsible AI requirements into the platform.
- Develop reusable, self-service platform capabilities that enable AI engineers and product development teams to build, evaluate, and deploy AI solutions more efficiently.
