System Engineer (Winnipeg)

Required Skills & Experience 5–7 years of experience in engineering (software development, infrastructure, or related) within medium to large organizations, preferably in regulated environments 2+ years of hands‑on experience with AI, including building AI agents, agentic workflows, or orchestration frameworks Robust 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 & 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 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. #J-18808-Ljbffr