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Nutrien

Sr AI Engineer

Calgary, AB, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

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. We’re 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 26,000 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.

Job Summary

Purpose Serves as the senior hands-on technical builder within AI Engineering - translating business opportunities into production-ready AI solutions and reusable AI capabilities, while raising the engineering bar through code review and mentorship of junior AI engineers.

What You'll Do

Design, build, and deploy machine learning, generative AI, and agentic solutions - RAG, knowledge assistants, enterprise copilots, predictive analytics, and workflow automation agents
Act as the primary code reviewer for the AI engineering team, owning code quality standards, review turnaround, and merge approval for AI solution and agent codebases
Provide structured mentorship and technical coaching to junior AI Engineers, AI Cloud Developers, and contractor developers - pairing, design walkthroughs, and skill development plans
Partner day to day with the AI Architect, converting architecture patterns and reference designs into working, scalable implementations and feeding practical build constraints back into architecture decisions
Own technical solution delivery end to end: solution design input, experimentation, production deployment, and post-deployment technical ownership
Implement MLOps and deployment standards - CI/CD for AI, model monitoring, retraining, version and lifecycle management - in partnership with AI Platforms & Operations
Contribute to reusable AI assets: shared prompts, AI frameworks, enterprise AI services, and agent orchestration patterns
Apply Responsible AI guardrails and technical standards in every solution delivered

What You'll Bring

6+ years in software/ML engineering with 3+ years delivering production AI/ML or GenAI systems
Deep Python plus modern AI stack: LLM orchestration frameworks, vector databases, feature stores, RAG pipelines, agent frameworks
Strong cloud engineering background (model hosting, AI development environments, containerized deployment) and MLOps/CI-CD depth
Demonstrated record of leading code reviews and mentoring engineers in a delivery team
Proven ability to work shoulder-to-shoulder with architects to take a pattern from design to production

What You'll Get

Purpose-Driven Work – Make an impact as part of a global team feeding the future and support farmers locally and around the world
Excellent Benefits – Comprehensive medical, dental and vision coverage, plus a retirement program with generous employer matching for your future
Grow Your Career – Tuition assistance for future education and ongoing learning and training opportunities for career advancement pathways across the organization
Support When it Matters – Employee Assistance Programs, inclusive leaves, and paid time for holidays, volunteering, vacation, and wellness
Thrive in a Strong Culture – Guided by our core values we put safety first, act with integrity, are stronger together, and deliver with excellence in a collaborative, high-performing environment

Ready to make an impact with us? Apply today!  

The estimated salary that Indeed, Glassdoor and LinkedIn lists does not represent Nutrien's 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 filled. In 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 contacted. Applicants must meet minimum age requirements, as permitted by law. 

Please be advised that pre-screen interviews may be transcribed (there will be no audio or video recording) and that artificial intelligence tools may be used to summarize the transcript of the discussion. These tools will not be used to make or influence hiring decisions. Biometric identifiers and biometric information will not be captured. If you wish to request an alternative process or a reasonable accommodation, please submit a request through our Contact Us form or call 1-800-667-0403 in Canada and 1-800-667-3930 in the US to let us know the nature of your request and your contact information.

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

To stay connected to us and for the latest job postings and news, follow us on:  LinkedIn, Facebook, and Instagram.

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More about this job

Responsibilities

Design, build, deploy, and maintain production AI solutions, including generative AI, RAG, predictive analytics, and workflow automation agents. Lead code reviews and mentor junior engineers while implementing MLOps standards, developing reusable AI assets, and partnering with the AI Architect to turn designs into scalable production systems.

Requirements

Requires 6+ years of software or ML engineering experience, including 3+ years delivering production AI/ML or generative AI systems, with strong Python and modern AI stack expertise. Candidates should have cloud engineering and MLOps/CI-CD experience, a record of code review leadership and mentorship, and the ability to collaborate with architects to bring designs into production.

Skills

Python
Machine Learning
Generative AI
Large Language Models
LLM Orchestration Frameworks
Vector Databases
Feature Stores
Retrieval-Augmented Generation
Agent Frameworks
Cloud Engineering
Model Hosting
Containerized Deployment
MLOps
CI/CD
Code Review
Technical Mentorship

Benefits

Medical Insurance
Dental Insurance
Vision Coverage
Retirement Program With Employer Matching
Tuition Assistance
Learning And Training Opportunities
Employee Assistance Programs
Inclusive Leaves
Paid Holidays
Paid Volunteer Time
Paid Vacation
Wellness Support

Visa sponsorship

Not detected in the job text

Keywords

Python
Machine Learning
Generative AI
Agentic AI
Large Language Models
LLM Orchestration
Vector Databases
Feature Stores
Retrieval-Augmented Generation
RAG Pipelines
AI Agents
Enterprise Copilots
Knowledge Assistants
Predictive Analytics
Workflow Automation
Cloud Engineering
Model Hosting
Containerized Deployment
MLOps
CI/CD
Model Monitoring
Model Retraining
Version Management
Lifecycle Management
Responsible AI
Prompt Engineering
Agent Orchestration
Code Review
Technical Mentorship
Agriculture

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