Staff Developer/Architect – Next Gen AI

General Motors of Canada; Markham; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading automotive company in Markham is seeking a Staff AI Developer to pioneer AI-driven solutions for vehicle design and performance. This role involves hands-on development and mentorship within a cutting-edge AI-focused engineering team. Ideal candidates should have over 7 years of experience in advanced ML systems, knowledge of LLMs, and a strong background in Python. Join us to shape the future of automotive engineering with AI innovations.

Benefits

Paid time off

Healthcare benefits

Tuition assistance

GM Vehicle Purchase Plan

Qualifications

• 7+ years of experience in building and deploying advanced ML or deep learning systems.
• Proven ability to lead technical direction and deliver production-ready AI systems at scale.
• PhD preferred, especially in NLP, simulation AI, or reinforcement learning.

Responsibilities

• Architect, prototype, and deploy scalable AI systems focusing on LLMs and simulation-aware models.
• Lead AI integration into core engineering tools and simulation frameworks.
• Mentor engineers and data scientists, fostering growth in model architecture and deployment.

Skills

Expertise with LLMs

Strong experience in Python

Experience with MLOps tools

Knowledge of optimization techniques

Education

Bachelor’s or Master’s in Computer Science, Engineering, Mathematics

Tools

PyTorch

TensorFlow

HuggingFace

Docker

Kubernetes

Job description

Job Description

Work Arrangement: This role is categorized as hybrid. The successful candidate is expected to report to the office three days per week at minimum. However, if you live outside an 80 KM radius from Markham Elevation Centre, it will be remote.

Why Join Us

General Motors is at the forefront of transforming transportation through software-driven innovation. We’re driven by our bold vision of a future with Zero Crashes, Zero Emissions, and Zero Congestion. As we push into an era of vehicle intelligence and digital engineering, AI is a cornerstone of our strategy.

You’ll be part of a team pioneering the integration of simulation, automation, AI agents, and large language models (LLMs) into critical systems for vehicle design, calibration, and performance. We’re seeking a Staff AI Developer to serve as a key technical leader, shaping our tools and infrastructure while delivering scalable, intelligent solutions that impact engineering.

Role Overview

As a Staff AI Developer, you will operate as a senior technical expert within a growing AI-focused engineering team. You will architect and deploy scalable AI systems—particularly in LLMs, AI agents, retrieval-augmented generation (RAG), and hybrid AI-simulation models—to enable transformative use cases across simulation, calibration, and product development.

You will collaborate with engineers, data scientists, simulation specialists, domain experts, and platform teams to define and execute high-impact AI initiatives. Your role will blend hands-on development, technical direction, and mentorship, helping GM scale next-generation capabilities.

Key Responsibilities

Technical Leadership & Innovation

• Architect, prototype, and deploy scalable AI systems, focusing on LLMs, simulation-aware models, and hybrid AI pipelines.
• Lead AI integration into core engineering tools and simulation frameworks, ensuring robustness, interpretability, and physical relevance of outputs.
• Evaluate and define the use of RAG systems, fine-tuning vs. zero/few-shot learning, and feedback loops for continuous improvement.
• Drive initiatives involving multi-agent AI systems, context-aware simulation orchestration, or generative design techniques.

System Design & Deployment

• Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLFlow, cloud-native services).
• Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production.
• Ensure scalability, reproducibility, and performance of models through evaluation, monitoring, and retraining mechanisms.

Cross-Functional Collaboration

• Serve as a technical liaison between simulation teams, software development, platform/cloud architects, hardware teams, and AI research teams.
• Translate engineering needs into AI solutions, balancing innovation with stability and traceability.
• Help define and evolve the AI technical roadmap within GM’s digital twin and simulation ecosystem.

Mentorship & Influence

• Mentor engineers and data scientists, fostering growth in model architecture, deployment, and responsible AI.
• Establish and promote best practices, coding standards, and documentation norms for AI systems.
• Participate in technical reviews, publications, or tech talks to share knowledge and influence strategy.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or related field (PhD preferred, especially in NLP, simulation AI, or reinforcement learning).
• 7+ years of experience building and deploying advanced ML or deep learning systems in production.
• Expertise with LLMs, transformer architectures, AI agents, or simulation-integrated models.
• Strong experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace).
• Experience with RAG, prompt engineering, and embedding optimization.
• Proven ability to lead technical direction and deliver production-ready AI systems at scale.
• Experience with MLOps tools and deploying models via containerized microservices on cloud platforms.

Preferred Qualifications

• Experience in automotive or physical systems simulation domains.
• Familiarity with co-simulation frameworks, physical modeling (e.g., Simulink, Modelica), or system-level calibration workflows.
• Knowledge of optimization techniques like PSO, GA, or MDO in AI/simulation fusion.
• Contributions to open-source AI tools or research publications in NLP, agents, or simulation AI.

Competitive Edge

• Visionary thinking: identifying and pursuing novel AI applications in engineering.
• Strategic ownership: driving initiatives from concept to integration, influencing organization.
• Cross-domain fluency: connecting simulation, embedded systems, and data science.
• Mentorship: uplifting others and expanding team expertise.

Join Us

At GM, we build systems that think, learn, and collaborate. Join us to shape the AI foundations of future vehicles and engineering teams.

GM does not sponsor immigration for this role. Do not apply if you will need sponsorship now or in the future.

Benefits Overview

Our total rewards include:

• Paid time off, holidays, and parental leave benefits.
• Healthcare, dental, vision, and wellness benefits.
• Life insurance and retirement contributions.
• Recognition programs, tuition assistance, and employee assistance.
• GM Vehicle Purchase Plan.

About GM

Our vision: Zero Crashes, Zero Emissions, Zero Congestion. We lead change for a better, safer, and equitable world.

Why Join Us

We foster a culture of inclusion and belonging, encouraging applications from all qualified candidates.

Applicants may need to complete assessments or screenings. Learn more at How we Hire.

Accommodations

We provide accommodations for individuals with disabilities. Contact us via email or call 800-865-7580 with your needs, including the job title and requisition number.