Senior AI Engineer (GCP/Vertex AI) Contract

On-site
Posted Oct 9, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design, build, and deploy production generative AI solutions on Vertex AI, including evaluation frameworks, human review processes, monitoring, and safe rollback paths. Own live solutions operationally and work directly with business users to integrate AI with legacy systems and automations, test releases end to end, and confirm they meet business needs.

Job details

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.

What you’ll do

Requirements

Requires 5 to 10 years of software, ML, or AI engineering experience, including at least 2 years delivering generative AI into production, plus strong Python and hands-on GCP Vertex AI experience; production experience with Azure AI Foundry or AWS Bedrock is also considered. Candidates should have experience evaluating non-deterministic systems at scale, supporting AI after launch, and familiarity with RPA or legacy integrations; insurance or health automation and Databricks or BigQuery experience are bonuses.