Jobs at Guidepoint

Design, build, and maintain test automation frameworks; automate functional and API tests; collaborate with developers; maintain documentation and improve processes.

Build and lead the Internal Developer Platform (IDP): design and operate production Kubernetes platforms, implement GitOps with Argo CD, enable CI/CD and IaC practices, provide observability via Datadog, support AI/ML workloads, and mentor platform engineers while driving platform-as-product practices and developer experience improvements.

Lead and develop a team of technical recruiters to scale technology hiring (AI/ML, Software, Data, IT, Product). Partner with senior leaders on hiring strategy, optimize recruiting processes with AI and automation, build talent pipelines for a Toronto AI & Data hub, and own employer branding, reporting, and recruiting program improvements.

Design, build, and operate scalable Generative AI systems and RAG pipelines; own end-to-end AI application lifecycle on Databricks and AKS; integrate LLMs with data sources and APIs; implement LLMOps, evaluation, observability, and production monitoring; mentor engineers and influence product roadmaps.

Lead design, build, and operate scalable Generative AI systems (LLM apps, RAG pipelines, multi-agent systems) in production using Databricks and cloud infrastructure. Own CI/CD, monitoring, evaluation frameworks, optimize retrieval/generation, mentor engineers, and influence product roadmap.

Lead cross-functional delivery for AI platform and data products by defining roadmaps, writing requirements, managing dependencies, tracking timelines, coordinating stakeholders and external partners, and supporting launches and operational readiness across multiple concurrent programs.

Lead strategy and roadmap for Guidepoint's data platform: manage external data vendors, define requirements for ingestion/enrichment/entity resolution, improve data quality and governance, oversee Data Analysts, partner with Engineering and stakeholders to deliver scalable data products and drive adoption and measurable business impact.

As a Senior Platform Engineer, you will design an Internal Developer Platform, maintain Azure/AKS environments, build AI-driven automation, and mentor junior engineers while ensuring system reliability and scalability.