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Added 3 mins ago
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Veralto Global

AI Engineer

London, ON, N5V 1V2, Canada

$90,000 to $120,000 CAD / year · Full-time

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Job details

Pay: $90,000 to $120,000 CAD / year
Job type: Full-time
Experience: 5+ Years for experience as an engineer, plus hands-on experience designing and developing AI agents for real-world business or product use cases.
Posting language: English
Posted: Nov 9, 2026

Original job description

Imagine yourself...

Building AI solutions that do more than demonstrate what is possible. They solve meaningful business problems, improve how teams work, and support technologies that help protect one of the world's most critical resources: water.

At Trojan Technologies, we're looking for an AI Engineer to help build and scale our AI capabilities across the organization.

You'll design and deploy production-ready AI solutions that support our remote monitoring platform while expanding the use of AI across sales, engineering, service, ordering, documentation, and knowledge management.

This is an opportunity to join at an exciting stage of our AI journey. Rather than simply maintaining established models, you'll help shape foundational capabilities, identify high-value use cases, and turn them into scalable solutions with measurable impact.

This position is remote within Ontario, CAN. The interview process will include Onsite interviews.

In this role, a typical day will look like:

Designing and deploying end-to-end AI and machine learning solutions for remote monitoring, predictive insights, anomaly detection, and intelligent alerting.
Building generative AI applications using technologies such as large language models, RAG, and natural language processing.
Partnering with the Data Engineering and Analytics Manager and business stakeholders to identify and prioritize high-impact AI opportunities.
Expanding AI capabilities across platforms supporting ordering, sales, engineering documentation, troubleshooting, and service. Building and maintaining the data pipelines and model infrastructure required for reliable, production-ready AI applications.
Collaborating with Product Management, IT, Engineering, Service, Sales, and Data Engineering to integrate AI into existing and new workflows.
Monitoring deployed models and applications to continuously improve accuracy, performance, reliability, and business value.
Helping establish responsible AI practices, model governance, documentation, and reproducibility across the organization.
Sharing knowledge and helping teams understand how to use AI effectively and responsibly.

The essential requirements of the job include:

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another related technical field.
5+ Years for experience as an engineer, plus hands-on experience designing and developing AI agents for real-world business or product use cases.
Experience building AI monitoring, validation, evaluation, and feedback loops to continuously improve solution quality and performance.
Demonstrated ability to take AI solutions from initial concept and prototyping through production deployment and ongoing optimization.
Practical experience designing and implementing Retrieval-Augmented Generation (RAG) workflows and architectures.
Experience working with Azure, Snowflake, or comparable cloud, data, and AI platforms.
Strong, hands-on Python development experience, with the ability to build reliable and production-ready AI applications.
Experience integrating leading LLMs such as Claude, OpenAI/ChatGPT, Microsoft/Azure OpenAI, or comparable models into automated workflows and applications.
A builder mindset: someone who enjoys experimenting with emerging AI capabilities, but also understands what it takes to turn them into scalable, reliable, and measurable solutions.

It would be a plus if you also possess:

Experience with IoT data, time-series analysis, or remote monitoring applications, particularly within industrial or water-related environments.
Experience with cloud and data platforms such as Azure, AWS, or Snowflake, including model or AI agent deployment and monitoring.
Knowledge of data engineering practices, including ETL pipelines, data architecture, and workflow orchestration tools such as Airflow.
Experience with MLOps, including model versioning, monitoring, and retraining pipelines.
Experience working within Agile, cross-functional product or technology teams.

What makes this opportunity unique?

You'll have the opportunity to help shape how AI is used across Trojan Technologies, from intelligent products and remote monitoring to engineering knowledge and internal business processes.

The goal isn't AI for AI's sake. It's about building practical solutions that solve real problems, scale across the organization, and create measurable value. Work arrangement

This position is remote within Ontario, CAN and works primarily on Eastern Time (EST) hours. The interview process will include Onsite interviews.

About Trojan Technologies and Veralto

At Trojan Technologies (www.trojantechnologies.com), we believe success for all comes from the contributions of every single one of us. That’s why we foster an environment where every associate has a voice, is valued and respected, and feels safe sharing their thoughts. After all, sharing our different viewpoints and experiences is what enables us to find creative and innovative ways to accomplish our shared goals.

Trojan is proud to be a Water Quality company in Veralto (NYSE: VLTO). Imagine a world where everyone has access to clean water, safe food and medicine, and trusted essential goods. That is the tomorrow Veralto is creating today.

Veralto is a $5B global leader in essential technology solutions made up of over 16,000 associates across our Water Quality and Product Identification segments all united by a powerful purpose: Safeguarding the World’s Most Vital Resources.

Take a moment to watch our video: The Power to Make Things Possible

(https://vimeo.com/burnsmarketing/review/823050239/c5d19b300c)

Compensation:

The compensation range for this role is $90,000-$120,000 CAD per year. This job is also eligible for bonus pay.

We offer a comprehensive package of benefits including paid time off, and medical/dental/vision insurance to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Unsolicited Assistance

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

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More about this job

Responsibilities

The AI Engineer will design and deploy end-to-end AI and machine learning solutions to support remote monitoring and various business operations. They will collaborate with cross-functional teams to integrate AI into workflows while establishing responsible AI practices and model governance.

Requirements

Candidates must hold a bachelor's degree in a technical field and possess at least 5 years of engineering experience with hands-on AI development. Proficiency in Python, cloud platforms, and experience with LLMs and RAG architectures are essential for this role.

Skills

Artificial Intelligence
Machine Learning
Python
Generative AI
Large Language Models
RAG
Natural Language Processing
Data Engineering
Cloud Platforms
Azure
Snowflake
MLOps
Predictive Insights
Anomaly Detection
Data Pipelines
Model Governance

Benefits

Paid time off
Medical insurance
Dental insurance
Vision insurance
Bonus pay

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Artificial Intelligence
Machine Learning
Python
Generative AI
LLM
RAG
Natural Language Processing
Azure
Snowflake
Data Engineering
MLOps
IoT
Time-series analysis
Airflow
ETL
Agile
Predictive insights
Anomaly detection
Model governance
Remote monitoring
Software engineering
Cloud computing
Data architecture
Workflow orchestration
Production deployment
Prototyping
Technical documentation
Water quality
Industrial automation

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