AI Solution Architect

Nutrien

Job Location:

Saskatoon - Canada

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

Nutrien is a leading provider of crop inputs and services and our business results make a positive impact on the world. Our purpose Feeding the Future is the reason we come to work each day. Were guided by our culture of care and our core values: We put safety first. We act with integrity. We are stronger together. We deliver with excellence.

Through the collective expertise of our nearly 26000 employees we operate a world-class network of production distribution and ag retail facilities. We efficiently serve growers needs and strive to provide a more profitable sustainable and secure future for all stakeholders. Help us raise the expectation of what an agriculture company can be and grow your career with Nutrien.

The Sr Principal AI Architect is responsible for defining and implementing enterprise-scale AI solution architecture that enables business teams to operationalize artificial intelligence across critical use cases. This role ensures that AI initiatives are designed with the right architecture governance and operational frameworks to move reliably from experimentation to production.

As a strategic technical leader the Sr Principal AI Architect partners closely with business leaders product teams data scientists engineering organizations and the enterprise platform architecture team to translate complex business problems into scalable AI-driven solutions. The role ensures that AI systems are designed for reliability scalability governance and long-term business impact across the enterprise while aligning with Nutriens broader enterprise architecture standards

What Youll Do:

Enterprise AI Solution Architecture

Lead the architecture and design of AI-powered solutions that address strategic business challenges across Nutriens operations supply chain commercial and digital platforms
Translate business use cases into scalable AI architectures that integrate data machine learning and modern application frameworks
Define architectural patterns and reference architectures for building production-grade AI applications
Guide teams in selecting appropriate AI techniques including predictive modeling optimization and generative AI to deliver measurable business value
Ensure AI solutions are designed with scalability resilience and enterprise integration in mind

AI Platform and MLOps Architecture

Define architectural standards for the end-to-end AI lifecycle including data preparation model development deployment monitoring and continuous improvement
Establish enterprise patterns for MLOps and ModelOps including CI/CD for ML pipelines model versioning experiment tracking and automated deployment
Partner with data engineering teams to ensure AI workloads are supported by scalable and reliable data platforms
Architect reusable components such as feature stores model registries evaluation frameworks and model monitoring capabilities
Enable teams to transition successfully from experimentation and prototypes to production-grade AI systems

Generative AI and Advanced AI Systems

Design architectures for modern AI applications that leverage large language models retrieval-augmented generation (RAG) and vector-based knowledge systems
Define patterns for integrating generative AI into enterprise workflows and applications
Establish architectural guidance for AI copilots intelligent automation and decision-support systems
Evaluate emerging AI technologies and recommend approaches that align with enterprise strategy and security requirements

AI Governance and Responsible AI

Establish architectural standards for model governance explainability observability and lifecycle management
Collaborate with risk compliance and security teams to embed responsible AI principles into enterprise AI solutions
Define best practices for traceability data lineage model performance monitoring and operational oversight
Ensure AI solutions align with enterprise data governance and security standards

Enterprise Architecture Alignment

Collaborate closely with the Platform Architecture and Enterprise Architecture teams to ensure AI solutions align with enterprise technology standards integration patterns and cloud architecture principles
Ensure AI implementations leverage approved enterprise platforms shared services and architectural frameworks wherever possible
Contribute to the evolution of enterprise architecture standards related to AI machine learning and generative AI technologies
Help define reusable architectural blueprints that enable consistent and scalable implementation of AI capabilities across business domains

Leadership and Cross-Functional Collaboration

Serve as a strategic advisor to business and technology leaders on AI architecture and implementation approaches
Provide architectural oversight for high-impact AI initiatives from concept through production deployment
Mentor data scientists ML engineers and solution architects on modern AI system design and operationalization practices
Drive adoption of enterprise AI standards reusable frameworks and architectural best practices across teams
Foster innovation by identifying opportunities where AI can unlock new capabilities or transform business processes

What Youll Bring:

10 years of experience in AI/ML architecture data science platforms or advanced analytics solution design
Demonstrated experience designing and implementing enterprise-scale AI solutions that deliver measurable business outcomes
Strong experience with cloud-based AI platforms such as Azure ML AWS SageMaker GCP Vertex AI or Databricks
Hands-on expertise with Python and modern machine learning frameworks such as PyTorch TensorFlow or similar ecosystems
Experience designing ML pipelines and MLOps frameworks using tools such as MLflow Kubeflow or similar platforms
Strong understanding of data platforms distributed computing and scalable data processing frameworks
Familiarity with generative AI architectures including vector databases RAG pipelines and LLM orchestration frameworks
Experience implementing model governance observability and lifecycle management practices in enterprise environments
Bachelors or Masters degree in Computer Science Data Science Engineering or a related quantitative discipline

Ready to make an impact with us Apply today!

The estimated salary that Indeed Glassdoor and LinkedIn lists does not represent Nutriens compensation structure. Nutrien is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex sexual orientation gender identity national origin disability veteran status and other legally protected characteristics.

This job will remain posted until accordance with Nutrien policies you will be required to undergo a background check and may be required to undergo a substance test. While we appreciate all applications we receive only candidates under consideration will be must meet minimum age requirements as permitted by law.

Our Recruitment Process: Application > Resume Review > Pre-screen/Interview > Offer > Pre-Employment Conditions > Welcome to Nutrien

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Required Experience:

Staff IC

Nutrien is a leading provider of crop inputs and services and our business results make a positive impact on the world. Our purpose Feeding the Future is the reason we come to work each day. Were guided by our culture of care and our core values: We put safety first. We act with integrity. We are st...