AI Application Developer

Location: Burnaby, BC, Canada

Job Overview

 

The FortiOS Release QA team is a group of over 90 staff dedicated to ensuring Fortinet products meet elite market standards before release. We are seeking an AI Application Developer to architect an end-to-end, closed-loop release cycle. You will design an AI-governed control plane that autonomously manages the software lifecycle: reasoning over feature specifications to create test plans, executing and verifying tests, managing the bug lifecycle, and ultimately generating customer-facing documentation and videos once a feature is verified. Your goal is to minimize manual toil while ensuring elite quality and providing immediate value to the end-user upon release.

 

Future Duties and Responsibilities

 

• Autonomous Spec-to-Plan Reasoning: Design systems using LLMs to ingest feature specifications and technical documentation to autonomously generate comprehensive test plans and high-coverage test scripts
• AI-Powered Test Case Generation: Utilize AI to author test cases derived from design requirements rather than existing code, ensuring that tests verify the intended functionality and avoid implementation-based confirmation bias.
• AIOps for Root Cause Analysis: Develop and deploy AIOps solutions to process massive log records and metrics from automation jobs, identifying the "few that matter" to automate root cause analysis and reduce manual triage toil.
• Intelligent Execution & Prioritization: Implement machine learning models for test case prioritization to maximize fault detection and optimize execution throughput within the CI/CD pipeline.
• Autonomous Bug Lifecycle Management: Build agents for automatic bug filing, tracking, and verification, including performing autonomous re-testing to verify fixes before they reach human review.
• Post-Verification Content Generation: Develop AI systems to autonomously generate technical documentation and instructional video content for customers following successful feature verification. Use LLMs to synthesize technical specs and verification results into structured, human-readable explanations and multimedia artifacts to accelerate customer onboarding.
• Governance & Human-in-the-Loop: Embed risk-weighted decision models to ensure that final release acknowledgements are backed by auditable AI-driven insights while preserving human oversight for high-impact decisions

 

Required Qualifications to be Successful in this Role

 

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• AI/ML Experience: 2–3 years of experience building machine learning, natural language processing (NLP), or generative AI-driven applications.
• Programming Proficiency: Strong proficiency in Python and familiarity with common machine learning libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
• LLM Application Development: Proven experience building applications with Large Language Models (LLMs) using strategies like prompt engineering and Retrieval-Augmented Generation (RAG).
• DevOps Knowledge: Hands-on experience with CI/CD tools, containerization (Docker, Kubernetes), and the integration of AI into automated testing toolchains.
• Analytical Problem Solving: Ability to reason over complex "brownfield" tasks where AI must interact with large, existing codebases and distributed systems.
• Communication: Effective communication skills to explain AI-driven insights, behaviors, and constraints to both technical QA staff and non-technical stakeholders.

 

Preferred Skills & Knowledge

 

• Knowledge of Specification-Driven Testing paradigms and formal verification.
• Experience with Self-Correction and Reinforcement Learning from execution feedback to improve agent proficiency over time.
• Understanding of Zero Trust Architecture (ZTA) and secure software development frameworks

 

The Canada base salary range for this full-time position is expected to be between $107,000 - $179,000 annually.  Wage ranges are based on various factors including the labour market, job type, and job level.  Exact salary offers will be determined by factors such as the candidate’s subject knowledge, skill level, qualifications, and experience. 

Fortinet strives to provide you and your family with a comprehensive benefits package. Benefits eligibility starts on your first day of hire and comprises of 100% company paid medical, dental, and vision coverage, including a Health Spending Account and a Personal Spending Account that gives you flexibility to spend where you need it the most. Our Employee & Family Assistance Plan (EFAP) offers you and your family access to various services like counseling, legal advice, mental health resources etc. We also provide critical illness, disability, and life insurance, as well as a Group Registered Retirement Savings Plan (RRSP) with a company match to help you save faster for retirement. We offer competitive Paid Time Off and flexible leave policies, including paid health days, to help you take care of yourself and your family members.

All roles are eligible to participate in the Fortinet equity program.  Bonus eligibility is reviewed at time of hire and annually at the Company’s discretion. 

 

About Our Team: 

Join our Release QA team, known for its collaborative ethos, working seamlessly with global customers, internal engineering teams and product development groups. Our team culture emphasizes continuous learning, innovation, and a strong commitment to customer satisfaction. We embrace Fortinet’s core values of openness, teamwork and innovation, fostering an environment where team members support each other, share knowledge, and leverage AI to solve complex technical challenges. Our inclusive and dynamic team thrives on collaboration and is driven by the shared goal of maintaining Fortinet’s high standards of excellence in cybersecurity solutions

 

Why Join Us:

We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

The FortiOS Release QA team is a group of over 90 staff dedicated to ensuring Fortinet products meet elite market standards before release. We are seeking an AI Application Developer to architect an end-to-end, closed-loop release cycle. You will design an AI-governed control plane that autonomously manages the software lifecycle: reasoning over feature specifications to create test plans, executing and verifying tests, managing the bug lifecycle, and ultimately generating customer-facing documentation and videos once a feature is verified. Your goal is to minimize manual toil while ensuring elite quality and providing immediate value to the end-user upon release.