Summary
✨ AI‑Generated
A hybrid AI engineering role focused on developing intelligent automation solutions using Python, large language models, and agent-based frameworks. The position involves building scalable AI workflows and collaborating with technical teams.
Highlights
Contract opportunity to build advanced AI-driven solutions, automate workflows, and collaborate with security and engineering teams on impactful projects.
Description
Ai Systems Engineer
Hybrid Downtown Toronto - 2 Days a week
6 Month Contract + Extensions
70-80/hr
Insight Global is looking for an AI Systems Engineer to join a large banking client on a 6-month contract working hybrid in downtown Toronto 2 days/week onsite.
This is a net-new position.
The successful candidate will join a detection engineering function supporting fraud and cybersecurity initiatives.
This individual will focus on building and optimizing AI-driven detection workflows, leveraging LLMs and agentic frameworks to automate and enhance detection capabilities.
The role involves developing Python-based tooling, orchestrating AI agents, and translating detection research into scalable workflows.
Day-to-day responsibilities include designing and building agentic workflows, contributing to detection engineering prototypes, collaborating with cybersecurity operations teams (CSOC, SIAO, and SAS), and providing regular updates to leadership.
Please Note: We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
REQUIRED SKILLS AND EXPERIENCE
• 3-5 years of experience in engineering (software development, infrastructure, or related), preferably in regulated environments
• 2+ years of hands-on experience with AI, including building AI agents, agentic workflows, or orchestration frameworks • Strong experience with LLMs, RAG architectures, LangChain, or similar frameworks for agent development
• Proficiency in Python scripting for automation, workflow development, and prompt engineering
• Experience building non-deterministic or AI-driven workflow automation solutions
• Strong communication skills with the ability to work independently, take initiative, and contribute innovative ideas
NICE TO HAVE SKILLS AND EXPERIENCE
• Previous experience within banking or financial services environments
• Experience with AWS Bedrock or similar AI platforms
• Exposure to SIEM, Splunk, or detection engineering workflows
• Experience with SOAR platforms (e.g., Splunk SOAR)
• Familiarity with CI/CD tools such as Ansible
