Sr AI Engineer

Calgary, AB
On-site
Posted Nov 6, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior
Posting language: English

Job summary

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.

Job details

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.

What you’ll do

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.