Staff Developer/Architect – Next Gen AI

General Motors; Markham; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading automotive company is seeking a Staff AI Developer to drive innovation in AI systems. This role includes architecting scalable AI solutions, leading integration efforts, and mentoring a growing team. The successful candidate will work in a hybrid model, requiring office presence three days a week. Strong experience in AI and MLOps practices is essential for contributing to the company's visionary approach to automotive technology.

Benefits

Flexible work arrangement

Health and wellness benefits

Continuous learning opportunities

Qualifications

• 5+ years of experience in AI development.
• Strong understanding of large language models and simulation-aware AI.
• Experience with cloud-native services.

Responsibilities

• Architect and deploy scalable AI systems.
• Lead AI integration into engineering tools.
• Serve as a key liaison between simulation teams and AI research.

Skills

Architecting scalable AI systems

Proficiency in LLMs

MLOps practices

Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

MLFlow

Job description

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office, three days per week, at minimum. But 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 forward into an era of vehicle intelligence and digital engineering, AI is a cornerstone of our strategy.

You’ll be part of a team that is 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 the evolution of our tools and infrastructure while delivering scalable, intelligent solutions that drive real-world engineering impact.

Role Overview

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

You will work cross-functionally 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-setting, and mentorship , helping GM scale next-generation capabilities.

Key Responsibilities

Technical Leadership & Innovation

• Architect, prototype, and productionize scalable AI systems, with an emphasis 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 appropriate use of RAG systems, fine-tuning vs. zero/few-shot learning strategies, and feedback loops for continuous improvement.
• Drive forward-thinking 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 environments.
• Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms.

Cross-Functional Collaboration

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

Mentorship & Influence

• Mentor engineers and data scientists, enabling growth in areas such as model architecture, deployment practices, and responsible AI.
• Establish and champion engineering best practices, coding standards, and documentation norms for AI systems across teams.
• Participate in technical reviews, external publications, or internal tech talks to scale knowledge and influence strategy.