Join a recent Montréal-based team and help transform product information, semantic models, documentation, scripts, and operational data into reliable foundations for AI-enabled applications. As part of the Energy Intelligence initiative, you will contribute to capabilities that support multiple products, engineering workflows, and lines of business. You will bring together subject-matter expertise, semantic modeling, and applied AI engineering to make complex information easier for models to retrieve, understand, and use.

This includes building reliable pipelines and processes to collect, structure, contextualize, govern, and evaluate content from multiple sources, with the appropriate levels of quality, traceability, and access control. You have experience preparing data or structured knowledge for AI-enabled applications and enjoy bringing clarity to complex information through collaboration. We value sound data foundations, relevant hands‑on experience, and the ability to learn alongside subject-matter and semantic modeling specialists.

Discover, collect, classify, normalize, and curate data for AI use cases. Build data pipelines for Building Management System (BMS) scripts, documentation, metadata, semantic models, and other engineering assets. Establish data lineage and provenance, along with quality, versioning, and access controls.

Prepare datasets for training, validation, benchmarking, and regression testing. Connect ontologies and knowledge graphs with AI retrieval and grounding systems. Identify duplicate content, inconsistent tagging, sensitive information, and quality issues.

Partner with legal, cybersecurity, privacy, and product teams to define appropriate data use. Assess data coverage and identify gaps that materially affect model performance. A background in data engineering, knowledge engineering, or data pipelines for machine learning.





Solid skills in data modeling and metadata management. Proficiency in building reliable data pipelines using Python, SQL, or comparable technologies. Hands‑on experience preparing data for machine-learning or LLM applications.

Familiarity with RDF, OWL, knowledge graphs, or semantic databases. A background in processing source code or domain-specific languages. Knowledge of technical documentation and engineering data.

Experience in applied AI, building technologies, energy management, automation, or IoT systems. We recognize that skills and competencies can be developed through a variety of experiences, both professional and personal. All applications are reviewed directly by our recruitment professionals, and no AI is used in the screening or selection process.

The expected pay range is CAD $114,750 - CAD $162,000 per year. This pay range includes base pay and short-term incentives. Inquiries regarding the pay range can be directed to the recruiting / hiring manager.

We ensure you feel secure with perks that help you and your family thrive: insurance coverage for health, inclusive of medical, dental, vision, basic life, accident, and disability insurance; parental and care leave; employee assistant program with mental, family, and legal counselling and flexible work arrangements. We help you plan and invest for the future with competitive pay and programs: base salary; retirement plan with employer pension match. 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.

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.

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. exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values.

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. 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. #

📌 Senior AI Data Engineering Specialist (Montreal)
🏢 Schneider Electric
📍 Montreal