Who Can Apply
- Candidates must be legally authorized to work in Canada
Job Description
Insight Global is leveraging Generative AI and Machine Learning to automate workflows and deliver high‑impact outcomes for Capital Markets front‑office and business teams. Use cases are driven by business stakeholders and may span decision support, workflow automation, document intelligence, data augmentation, advisor or trader tooling, and other opportunities where AI can reduce friction, improve speed, or enhance decision‑making. the successful candidate will be on site in Montreal, Toronto or Vancouver 2 days on site knowing it may be 4 later in 2026.
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 HR@insightglobal.com.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/.
Required Skills & Experience
~10 years of overall software engineering experience, including 4–6 years working with AI/ML systems
Strong hands‑on programming experience with Python and modern backend frameworks (e.g., FastAPI or similar)
Practical experience with Generative AI and LLM systems, including agents and RAG‑based architectures
Experience deploying and operating AI/ML solutions in production or enterprise environments
Familiarity with cloud platforms (Azure preferred; AWS exposure acceptable)
Experience integrating APIs and connecting AI solutions to internal tools and data platforms
Understanding of CI/CD, containerization, and basic MLOps practices
Comfortable working in ambiguous problem spaces and in a client‑ or stakeholder‑facing capacity
Nice to Have Skills & Experience
Experience with LLM tooling or frameworks such as OpenAI APIs, Hugging Face, LangChain, or similar
Exposure to model orchestration or AI platform patterns (e.g., model routing, versioning, experimentation)
Familiarity with financial services, Capital Markets, or regulated enterprise environments
Understanding of data security, governance, and compliance considerations for AI systems
Experience integrating AI outputs into dashboards, analytics, or reporting tools
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.