Principal AI Developer - REMOTE

Medium; Remote; CAD 120,000 - 160,000; Full time

Job summary

A technology partner is seeking a Principal AI Developer to lead the development of innovative AI solutions in cybersecurity. This senior position involves architecting workflows and mentoring teams to enhance threat detection and response capabilities. Candidates should have over 10 years of experience in intelligent systems, with expertise in Generative AI and knowledge graph technologies. The role offers equity, flexible time off, and comprehensive benefits.

Benefits

Equity for all employees

Flexible time off

RRSP and 401k match

Comprehensive private benefits plan

Robust Employee Assistance Program

Qualifications

• 10+ years of experience building intelligent systems or AI applications.
• 5+ years of experience in leading technical teams.
• Deep expertise in large-scale Generative AI delivery.

Responsibilities

• Architect and lead the development of AI workflows.
• Establish ML and data pipelines for AI model deployment.
• Work with teams to measure and improve AI quality.

Skills

Generative AI

AI model training

Mentoring

Knowledge graph technologies

Cloud-native data services

Tools

Amazon Bedrock

LangChain

Terraform

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal AI Developer. In this role, you will take the lead in advancing cybersecurity through innovative AI solutions. Your contributions will significantly impact the efficiency of security operations, driving enhancements in threat detection and response capabilities. By architecting robust AI workflows and supporting diverse teams, you will help shape a safer digital environment. This senior technical leader position is crucial in leveraging AI to combat cyber risks globally.

Accountabilities

• Architect and lead the development of agentic workflows and fine-tuned models for the automation of new and existing security operations processes.
• Establish ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models.
• Design scalable systems to unify and correlate data across heterogeneous sources using rule-based, probabilistic, and ML-based approaches.
• Work with security operations and other teams to measure, monitor, and evaluate AI quality and iteratively improve.
• Define best practices for building secure, observable, and scalable AI systems in cloud-native environments.
• Guide the evolution of the AI strategy, influencing product roadmaps and technical direction.
• Mentor senior engineers and foster a culture of innovation and excellence across teams.
• Stay ahead of emerging trends in entity resolution, knowledge graphs, and agentic AI.

Requirements

• 10+ years of experience building intelligent systems, distributed platforms, or AI-enhanced applications.
• 5+ years of experience leading technical teams and mentoring senior contributors.
• Deep expertise in large scale production delivery of Generative AI.
• Experience with agentic frameworks (e.g., AgentCore, Amazon Bedrock, LangChain) and LLM integration.
• Experience training and tuning AI models, including ongoing quality measurement and evaluation (LLM-as-judge).
• Hands‑on experience with knowledge graph technologies (e.g., Neptune, Neo4j, RDF/SPARQL, GraphQL).
• Familiarity with cloud‑native data services (AWS preferred) and data engineering tools (Spark, Flink, Kafka, Databricks).
• Experience with infrastructure‑as‑code, CI/CD, and DevSecOps principles.
• Exposure to cybersecurity concepts: threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling.
• Passion for building intelligent systems that solve real‑world security challenges.

Benefits

• Equity for all employees.
• Flexible time off and paid volunteer days.
• RRSP and 401k match.
• Training and career development programs.
• Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value‑added services.
• Robust Employee Assistance Program (EAP) with mental health services.
• Fertility support and paid parental leave.

Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.