Who Can Apply
- Candidates must be legally authorized to work in Canada
Job Description
We are seeking an experienced AI Engineer to lead the design and development of intelligent data solutions focused on credit intake, triage, and decisioning. This role will play a key part in building proof-of-concepts and scalable AI-driven capabilities within a cloud environment.
Key Responsibilities
- Design and build AI/ML solutions to support intelligent intake and triage workflows
- Develop proof-of-concepts (POCs) and evolve them into production-ready solutions
- Implement hyperscale graph-based data models and knowledge graph architectures
- Lead data modeling and feature engineering efforts across structured and unstructured datasets
- Partner closely with architects and engineering teams to design scalable, enterprise-grade solutions
- Contribute hands-on across the full stack of AI development (data → model → deployment)
- Work independently in an ambiguous, fast-moving environment
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
- Strong experience as a Data Scientist or AI Engineer in production environments
- Hands-on expertise with graph databases / knowledge graphs (e.g., Neo4j or similar)
- Experience with data modeling and large-scale data architecture
- Proven ability to build and deploy AI/ML models in Azure
- Full lifecycle experience: experimentation → POC → production
- Strong programming skills (Python preferred)
- Ability to work independently and collaborate with technical stakeholders
Nice to Have Skills & Experience
- Experience with agentic AI frameworks or autonomous systems
- Prior experience in financial services or credit workflows
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.