Director AI

Summit Search Group; Vancouver; On-site; CAD 200,000 - 220,000; Full time

Job summary

A leading Canadian technology company is seeking a Director AI to oversee machine learning and AI strategy. This role offers a mix of technical work and leadership in a transformative position, allowing the candidate to shape the AI function while working with cutting-edge technology and solving real-world challenges.

Benefits

Equity participation

Performance incentives

Flexible working model

Qualifications

• 10+ years of experience in AI, machine learning, or data science.
• At least 3 years in a leadership role.
• Deep expertise in machine learning frameworks and LLMs (e.g., GPT, BERT).

Responsibilities

• Lead development and deployment of machine learning models.
• Design and integrate LLMs and GenAI solutions.
• Build and lead a team of AI/ML scientists.

Skills

Machine Learning

Data Science

Programming (Python)

Cloud Platforms

Leadership

Education

Master’s or Ph.D. in Data Science or Computer Science

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

Compensation : $200,000–$220,000 CAD + equity & performance incentives

Our client, a Canadian technology company at the forefront of AI-driven innovation in industrial science, is seeking a Director AI to lead the development of cutting-edge machine learning and generative AI solutions. This is a rare opportunity to shape and scale the AI function within a company applying advanced analytics to highly complex, real-world challenges.

About the Role

Reporting to the CTO and collaborating directly with senior leadership, the Director AI will architect and implement ML / AI strategies to support high-impact use cases—ranging from multi-modal data fusion to the deployment of LLMs and custom neural networks. This role offers a mix of hands-on technical work and strategic oversight, and will be instrumental in building a small, high-performing team.

Key Responsibilities

• Lead the development and deployment of machine learning models in support of predictive analytics, anomaly detection, and generative workflows.
• Design and integrate Large Language Models (LLMs), neural networks, and GenAI solutions tailored to scientific and industrial domains.
• Collaborate with domain experts (e.g., engineers, geoscientists, product teams) to translate complex data problems into practical AI solutions.
• Build and lead a team of AI / ML scientists, fostering a strong technical culture and high delivery standards.
• Contribute to strategic road mapping and cross-functional initiatives across engineering, data, and operations.

What They’re Looking For

• 10+ years of experience in AI, machine learning, or data science, with at least 3 years in a leadership capacity .
• Master’s or Ph.D. in Data Science , Computer Science, or related fields.
• Deep expertise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), GenAI, and LLMs (GPT, BERT, etc.).
• Strong programming background in Python (or R / Julia).
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• Experience leading end-to-end AI / ML projects that drive measurable business value.
• Demonstrated success building and mentoring technical teams.
• Excellent communication skills, with the ability to influence both technical and executive stakeholders.

Nice-to-Haves

• Exposure to multi-physics datasets or geoscientific data
• Experience with geospatial tools (e.g., QGIS, ArcGIS) or 3D modeling software
• Familiarity with CI / CD pipelines for ML models and statistical uncertainty modeling

Why This Role

• Join a company solving unique, complex challenges through AI innovation
• Lead both strategy and execution in a newly created function
• Competitive compensation, equity participation, and a culture that values technical curiosity and impact
• Hybrid model with flexibility and strong executive support

If you’re ready to join a team that’s shaping the future of mining, we want to hear from you! If you have any questions please contact me directly at.

Further details will be shared with shortlisted candidates.