About the Company
This is a well-established Canadian organization in health benefits that has been growing quickly over the past few years. Its internal AI group runs a multi-year program applying AI across core operations, including member service, claims, prior authorization and underwriting.
The data platform runs on Databricks and Google Cloud. Several AI solutions are already live in production and have delivered measurable reductions in claims processing time.
The Role
This is a senior, hands-on AI/ML engineering contract on a lean delivery team that builds mainly on Google’s AI stack. The team has no business analysts and no separate UAT phase. Engineers take a business problem from scoping through user testing and into production. The person who succeeds here enjoys building GenAI systems and also cares about keeping them reliable after launch.
What You Will Do
- Design and ship production GenAI solutions on Vertex AI, working with Gemini, Agent Builder and managed pipelines
- Build evaluation frameworks for model output at scale, including golden datasets, human review loops and safe rollback paths
- Take operational ownership of live AI solutions, covering monitoring, drift detection, token spend and incident response
- Connect AI services to older core systems and existing UiPath automations so solutions work inside real operational processes
- Work directly with business users to define requirements, test end to end and confirm each release solves the problem it was built for
What You Bring
- 5 to 10 years in software, ML or AI engineering, with at least 2 years delivering generative AI into production
- Hands-on experience with GCP Vertex AI and strong Python. Production work on Azure AI Foundry or AWS Bedrock will also be considered
- A proven approach to testing non-deterministic systems at volume, from building evaluation sets to designing human-in-the-loop review
- Experience supporting an AI system after go-live, plus familiarity with RPA or integration with legacy platforms
- Bonus: document AI, or automation of claims, prior authorization or underwriting in insurance or health, along with exposure to Databricks or BigQuery
Why This Role
You would join a team whose AI work is already in production and producing results, with more use cases waiting for engineers to own them. You would work across the full lifecycle of a solution without layers of handoffs, building on a Google-first stack inside an established Canadian health benefits organization. The engagement is a contract for a senior individual contributor based in Ontario.
