We are looking for an AI Cloud Engineer to support our AI infrastructure and platform engineering needs. This role is distinct from traditional cloud engineering: the AI platform team builds custom, Python-based AI products and services - for example, AI gateway and AI guardrail-type capabilities - that are consumed by many lines of business across our clients.
The ideal candidate blends strong AI/ML development skills with working cloud knowledge, and is comfortable customizing open-source tooling or integrating third-party AI platforms into production-grade services.
Key Responsibilities
- Design and build custom, Python-based AI platform services consumed by multiple internal lines of business (e.g., AI gateway- and AI guardrail-type services)
- Customize open-source AI tooling and integrate with third-party AI providers to deliver production-grade platforms
- Integrate AI platform services with enterprise systems such as SharePoint and SQL/PostgreSQL databases
- Apply platform-engineering principles - defining clear requirements that consuming application teams must satisfy to safely use the platform
- Bring working cloud knowledge to ensure AI services integrate cleanly with the broader cloud environment
- Operate within clients 's enterprise governance, security, and change-management frameworks as a platform service provider
AI & Platform Development Skills
- Python - strong, hands-on development experience (top priority)
- Demonstrated experience building or customizing AI/ML-driven products or platforms
- Experience integrating open-source AI frameworks and/or third-party AI platforms (e.g., Cohere or similar) into production services
- Platform-engineering mindset: experience defining transparent consumption requirements so other applications/teams can safely integrate with the platform
- Working knowledge of cloud service integration in an enterprise setting (e.g., SharePoint, SQL, PostgreSQL, Azure)
- Enterprise-scale delivery mindset: building for many consuming teams/lines of business, not a single application
- Security posture and compliance awareness for regulated industries: vulnerability management, RBAC / least-privilege access, audit readiness
- Observability fundamentals: logging, monitoring, and alerting for production platform services
- Identity and access management basics (Azure AD/Entra ID or equivalent) for securing platform endpoints
- Comfortable operating within formal change-management/ITSM and documentation standards expected by large banking clients
- Full SDLC fluency, including requirement gathering and cross-team architecture discussions
- Strong written communication - detailed documentation and ticket-level updates expected by enterprise stakeholders
- Formal cloud platform experience beyond working knowledge (Azure, GCP, or AWS), e.g., Infrastructure-as-Code / Terraform exposure
Preferred / Nice to Have
- Prior banking or financial-services experience
- Lead-level experience: TL/Architect-level capability plus current hands-on delivery, with proven ability to manage 2–3 engineers
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📌 AI Cloud Engineer (Toronto)
🏢 KData AI
📍 Toronto
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