ML Solutions Architect: AI-Driven Systems Designer

NBCUniversal; Montreal (administrative region); On-site; CAD 110,000 - 160,000; Full time

Job summary

NBCUniversal is seeking an ML Solutions Architect to lead high‑level design of systems that integrate ML models into our product suite. You will act as a technical consultant evaluating customer requirements and deciding between off‑the-shelf tools or specialized research initiatives for our Deep Learning and RL teams.

This role suits a systems-minded engineer who can translate product vision into scalable architecture while balancing technical feasibility, performance and maintainability.

Qualifications

• Education: Degree in Computer Science, Software Engineering, or a related field.
• Professional Experience: Proven experience as a Software Architect or Systems Engineer in a fast-paced environment.
• Industry Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.
• Technical Proficiency: Fluency with Git, and the Unix shell, with a strong ability to work across multiple programming languages as needed (ideally including one or more of Python, C++, C#).
• Architectural Knowledge: Deep understanding of how to integrate ML models into production software (e.g., API design, message brokers, and containerization, compute and memory budgeting).
• ML Literacy: While you may not be training models daily, you must have enough ML-adjacent experience to understand model constraints, data requirements, and the state of the art.
• Experience with fine-tuning and deploying models is a plus.

Responsibilities

• System Integration & Coprocessing: Design and implement the software layers that allow ML models to interact with a real-time rendering engine.
• Technical Consulting: Evaluate incoming customer requirements to determine the optimal path forward for ML solutions.
• Language-Agnostic Engineering: Build and maintain wrappers, APIs and microservices for flexible ML stack across environments.
• Cross-Functional Coordination: Liaise between leadership, customers and core engineering to specify data and integration needs.
• Modular Execution: Break down product visions into architectural components to ship ML features in a stable software product.

Skills

Software Architecture

Systems Engineering

Multi-language Proficiency

ML Adjacent Experience

Education

Degree in Computer Science or Software Engineering

Tools

Git

Unix shell

Python

C++

C#

Job description

NBCUniversal is seeking an ML Solutions Architect to lead high‑level design of systems that integrate ML models into our product suite. You will act as a technical consultant evaluating customer requirements and deciding between off‑the-shelf tools or specialized research initiatives for our Deep Learning and RL teams.

This role suits a systems-minded engineer who can translate product vision into scalable architecture while balancing technical feasibility, performance and maintainability.