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 business outcomes across multiple technology and business teams (Business Analysis, Product Management, QA, Development).
The initial focus of this role is a client-facing Proof of Concept (POC) to design and deliver an AI-driven recommendation engine for financial advisors. This solution will analyze advisor holdings and matured assets to recommend suitable products and reinvestment opportunities, helping convert capital from matured assets into new investment vehicles. The successful candidate will be on site in Halifax ,Bedford, OR Montreal, QC 4 days a week.
The AI Engineer will design, build, and deploy LLM-powered agents and ML-driven components that integrate with enterprise platforms such as Confluence, Jira, SharePoint, BI tools, and internal data sources, while adhering to enterprise-grade security and governance standards.
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
• Senior-level development experience with strong programming skills in Python, Java, or similar languages.
• Hands-on experience with Azure AI services, cloud-based automation, and deploying AI/ML solutions in an enterprise environment.
• Experience building recommendation systems, decision-support tools, or data-driven POCs.
• Strong understanding of Generative AI concepts, LLMs, conversational agents, and hybrid ML + GenAI approaches.
• Experience integrating APIs and building connectors for enterprise tools and data platforms.
• Ability to work directly with business stakeholders in a client-facing capacity to define data requirements and solution design.
Strong problem-solving skills and experience working in an agile delivery model.
Nice to Have Skills & Experience
• Exposure to AI/ML frameworks such as OpenAI, Hugging Face, LangChain, or similar orchestration frameworks.
• Experience designing or operating model orchestration layers (e.g., MCP or equivalent) and managing multiple LLMs.
• Familiarity with financial services data, advisor platforms, or investment product workflows.
• Knowledge of data security, governance, and compliance considerations in enterprise AI deployments.
Experience with BI tools and analytics platforms used for reporting and decision support.
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.