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Cameco Corporation

Sr. AI Developer

Saskatoon, SK, Canada

Pay: Salary Range: $103,000 - $129,000 annually
Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

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Original job description

Job Category: Information Technology

Location: Saskatoon

Work Contract: Reg Full-Time (K1)

At Cameco we understand the value of a diverse workforce and we embrace, encourage and support workplace inclusion and diversity. New ideas, perspectives, experiences, and expertise make Cameco stronger. We are committed to building a diverse workforce reflective of the communities we operate in. Our vision is to create a culture where inclusion is the goal, and a diverse and representative workforce is our measure of success. Cameco is committed to providing an inclusive selection process, free from systemic barriers. support employment equity and encourage all members of underrepresented groups (i.e., women, Indigenous peoples, persons with disabilities and members of racialized groups/visible minorities) to voluntarily disclose. Cameco welcomes applicants from all backgrounds, abilities, and experiences to apply.

About Us

Cameco is one of the largest global providers of the uranium fuel needed to power a secure energy future. Utilities around the world rely on our nuclear fuel products to generate safe, reliable, emissions-free nuclear power. Cameco’s corporate office is based in Saskatoon. We have mining operations and projects in northern Saskatchewan, Kazakhstan, the United States and Australia. We are also a leading supplier of uranium refining, conversion, and fuel manufacturing services from our operations in Ontario.

The Role

The Sr. AI Developer leads the design and delivery of advanced AI and agentic solutions on Cameco’s AI platforms. This role provides technical leadership across model fine-tuning, RAG and system integrations, while mentoring developers and partnering with architects and business teams to deliver secure, responsible AI solutions that create business value.

In This Role, You Will

Act as the technical leader for assigned AI solutions, coordinating development decisions, technical dependencies, quality controls and production readiness.
Lead the design, development and delivery of advanced AI solutions and agentic applications on Cameco's AI platforms.
Own complex technical work involving model fine-tuning, retrieval-augmented generation pipelines, vectorization of corporate data and hybrid search.
Define and promote reusable workflows, coding standards, development patterns and best practices for the developer community.
Provide technical guidance, reusable patterns and code-review support to AI Developers and other approved contributors to Cameco’s AI solutions.
Define evaluation approaches and acceptance criteria for model outputs, retrieval quality, agent behaviour, security, reliability and production readiness.
Define safe design patterns for agent permissions, tool use, human approvals, auditability and recovery from failed or unintended actions.
Partner with platform, DevSecOps and agentic AI architects to shape solution designs and ensure components integrate effectively.
Embed security, privacy and responsible AI controls into solutions in accordance with Cameco's AI governance framework.
Lead troubleshooting, performance tuning and production support for critical AI capabilities.
Translate business use cases into technical designs and provide effort estimates, risk considerations and technical recommendations.
Evaluate development frameworks, models and solution patterns and recommend where they should be adopted, standardized or avoided.

Required

bachelor’s degree in computer science, software engineering, data science, or related field;
minimum eight years experience of software development experience, including significant hands-on AI/ML solution delivery;
equivalent combination of education and work experience considered;
demonstrated experience with model fine-tuning, RAG, and integrating AI into enterprise applications;
experience providing technical leadership or mentorship on development teams; and
experience integrating AI solutions with enterprise applications, APIs and cloud and on-premise data sources.

Recommended

experience building or integrating applications in a containerized/cloud-native environment;
familiarity with responsible-AI, security, or regulated-industry practices;
strong experience with Red Hat OpenShift, OpenShift AI, Kubernetes, containers and supporting operators;
experience with GCP/BigQuery, Microsoft 365 and on-premise file shares;
knowledge of identity, access, network and data security controls applied to AI platforms; and
experience delivering solutions in regulated or security-sensitive environments.

Conditions Of Employment

background check.

Cameco is proud to offer a competitive total reward package which includes:

competitive compensation program with base and variable pay;
flexible health, drug, dental, and vision plan with a health spending and personal spending account;
fixed benefits including employee and dependant life, AD&D, disability benefits and paid vacation leave;
Employee and Family Assistance Programs;
RRSP and RPP matching program;
career development opportunities; and
relocation costs.

Cameco is an employment equity employer and aims to achieve gender parity, and as such, preference will be given to qualified members of equity groups. We are strengthened by the diverse backgrounds of experiences and encourage applicants with various levels of expertise to apply, as equivalent combination of education and work experience are considered.

This position is eligible for the employee referral bonus.

Req ID #: 42513

Posted: September 29, 2026

Posting end date: October 13, 2026

Salary Range: $103,000 - $129,000 annually

The physical and psychological safety of our employees is a top priority at Cameco. We invite candidates to voluntarily disclose accommodation requirements, if contacted in relation to a job opportunity. Information received will be addressed confidentially and Cameco’s Workplace Inclusion and Accommodation Program document is available upon request. Successful candidates for all positions that will work at Safety Sensitive Sites or Safety Sensitive Positions must take and pass a Substance Test, which includes marijuana, as a condition of employment. Marijuana remains in a user’s system for about 30 days, so applicants who recently used marijuana recreationally should not expect to pass a substance test.

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More about this job

Responsibilities

Lead the design, development, and production delivery of advanced AI and agentic applications, including fine-tuned models, RAG pipelines, enterprise data integrations, and safe agent workflows. Provide technical leadership and mentorship, establish reusable development and evaluation practices, and partner with architecture, platform, and business teams to deliver secure, reliable AI solutions.

Requirements

A bachelor’s degree in computer science, software engineering, data science, or a related field is required, along with at least eight years of software development experience that includes substantial hands-on AI/ML delivery. Candidates should have experience with fine-tuning, RAG, enterprise integrations, and technical leadership; cloud-native, OpenShift/Kubernetes, security, and regulated-environment experience are recommended.

Skills

AI Solution Development
Agentic AI
Model Fine-Tuning
Retrieval-Augmented Generation
Vectorization
Hybrid Search
Enterprise Application Integration
Technical Leadership
Mentoring
AI Evaluation
Responsible AI
AI Security
Kubernetes
Red Hat OpenShift
OpenShift AI
Cloud-Native Development

Benefits

Competitive Compensation
Flexible Health, Drug, Dental, and Vision Plans
Health Spending Account
Personal Spending Account
Life Insurance
Accidental Death and Dismemberment Benefits
Disability Benefits
Paid Vacation
Employee and Family Assistance Programs
RRSP and RPP Matching
Career Development Opportunities
Relocation Costs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Agentic AI
AI Platforms
Model Fine-Tuning
Retrieval-Augmented Generation
RAG Pipelines
Vectorization
Hybrid Search
Enterprise Applications
APIs
Cloud-Native
Containers
Kubernetes
Red Hat OpenShift
OpenShift AI
GCP
BigQuery
Microsoft 365
On-Premise Data Sources
DevSecOps
AI Governance
Responsible AI
Identity and Access Management
Data Security
Model Evaluation
Production Readiness
Human Approval Workflows
Auditability
Nuclear Power

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