Job Description
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.

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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters.

Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status,



military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected].

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements
• 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, Lang

Chain, 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 cutting-edge ideas • 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

📌 AI Systems Engineer (Toronto)
🏢 Insight Global
📍 Toronto