Staff Developer/Architect Next Gen AI

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. Bu t 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. Were 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.

Youll 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. Were 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 systemsparticularly 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 GMs 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.

Your Skills & Abilities (Required Qualifications)

• Bachelors or Masters in Computer Science, Engineering, Mathematics, or related field (PhD preferred, particularly in NLP, simulation AI, or reinforcement learning).
• 7+ years of experience building and deploying advanced machine learning or deep learning systems in production.
• Demonstrated expertise with LLMs , transformer architectures , AI agents , or simulation-integrated models .
• Strong experience in Python and major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers).
• Experience with retrieval-augmented generation (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 such as PSO, GA, or MDO in the context of AI/simulation fusion.
• Contributions to open-source AI tools or published research in NLP, agents, or simulation-integrated AI.

What Will Give You a Competitive Edge

• Visionary thinking: You identify and pursue novel AI applications in engineering workflows.
• Strategic ownership: You drive initiatives from concept to integration, influencing cross-org direction.
• Cross-domain fluency: You connect simulation, embedded systems, and data science to deliver tangible value.
• Commitment to mentorship: You uplift others and scale your expertise across the team.

Join Us

At GM, we dont just build cars. We build systems that think , learn, and collaborate. Join us to help define the AI foundations of the vehiclesand engineersof the future.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

Benefits Overview

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:

• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.

• Healthcare, dental and vision benefits including health care spending account and wellness incentive.

• Life insurance plans to cover you and your family.

• Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.

• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values.

• Tuition Assistance and Employee Assistance Program.

• GM Vehicle Purchase Plan for you, your family and friends.

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at .... In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.