AI Platform Engineer

RAVL helps technologists accelerate their careers. At RAVL, we connect strategy with execution, care deeply about the people we work with, and measure success by the lasting impact we leave behind. Senior / Principal AI Platform Engineer to build the secure, scalable platform capabilities that enable enterprise AI delivery across our clients' organizations. platform engineering role first, with an AI specialization . You'll build and operate the shared infrastructure, services, and runtime capabilities that allow engineering teams to securely deploy, govern, observe, and scale AI-powered applications in highly regulated financial services environments. Rather than building individual business applications or developer tooling, you'll focus on the production AI platform itself—creating reusable services, operational excellence, and platform capabilities that other engineering teams depend on every day. As a Senior or Principal engineer, you'll influence platform architecture, establish engineering standards, and help shape RAVL's AI platform strategy. Design, build, and operate reusable cloud platform capabilities using Infrastructure as Code, CI/CD, containers, Kubernetes, identity services, and cloud networking Develop shared AI platform services including model gateways, API gateways, inference routing, vector and retrieval services, evaluation pipelines, and policy enforcement capabilities Design secure platform foundations that incorporate identity, secrets management, network security, data boundaries, auditability, governance, and controlled access to AI models and enterprise tools Treat the platform as a product by creating reusable APIs, templates, documentation, paved roads, and self-service capabilities that accelerate adoption across engineering teams Optimize platform performance, scalability, and cost through intelligent routing, caching, quotas, lifecycle management, versioning, and cloud resource optimization Establish operational standards for AI platform reliability, incident response, capacity planning, and continuous improvement Mentor engineers, lead architecture discussions, and contribute reusable capabilities that strengthen both client platforms and RAVL's AI engineering practice Partner with engineering, infrastructure, security, architecture, and client stakeholders to deliver scalable AI platform capabilities aligned with enterprise governance requirements We're looking for platform engineers with deep cloud infrastructure expertise and practical experience building modern AI-enabled platforms. Deep experience building CI/CD pipelines, cloud networking, identity and access management, observability platforms, and site reliability engineering practices Experience designing highly available distributed systems with strong operational practices including SLOs, monitoring, tracing, incident response, and capacity planning Working knowledge of large language models, AI inference, agent architectures, and how to expose AI capabilities safely as reusable platform services Experience implementing secure data governance practices including privacy, lineage, lifecycle management, access controls, and scalable data processing Experience collaborating across engineering, platform, infrastructure, security, and architecture teams to deliver scalable shared services For Senior and Principal candidates, demonstrated experience leading platform architecture, establishing engineering standards, mentoring engineers, and driving adoption of enterprise platform capabilities Experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, Vertex AI, or other managed AI platforms Experience with service mesh technologies, API management platforms, GPU infrastructure, model serving frameworks, or vector databases Experience implementing policy-as-code, multi-tenant platform architectures, software supply chain security, or advanced FinOps practices You enjoy building platforms that enable others to move faster and safer You think in systems and design for long-term scalability, resilience, and operational excellence You balance engineering quality, security, reliability, and cost when making architectural decisions You communicate effectively across engineering, infrastructure, security, and executive stakeholders You enjoy solving complex platform challenges through thoughtful engineering and automation You mentor others and create reusable capabilities that raise the bar across engineering teams You're excited about shaping the future of enterprise AI infrastructure and platform engineering Help build the AI platforms that power the next generation of enterprise software delivery Flexible, client-aligned hybrid work model—autonomy with accountability, adapting to client delivery needs Variable bonus & RRSP contributions tied to performance and delivery impact 4 weeks paid time off (plus public holidays) Paid professional development days and continuous learning opportunities Comprehensive health & den