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. Our purpose is to build a team that puts real, sustainable business outcomes at the core of everything we do.
We're here to leave our clients better than we found them—and to create a place where our people are proud toBuild. Better.

About The Role
We're looking for an experiencedAI Solutions Engineerto help our financial services clients turn ambitious AI ideas into secure, scalable, production-ready solutions.
This is asoftware engineering role with an AI specialization , not a prompt engineering role. You'll design and deliver AI-enabled applications and agentic systems that integrate with enterprise platforms, business workflows, and governance requirements. You'll work alongside client teams to navigate ambiguity, make pragmatic architectural decisions, and deliver measurable business outcomes.
As a Senior or Principal engineer, you'll bring technical leadership to complex engagements, influence solution direction, mentor teammates, and help shape RAVL's growing AI engineering practice.
What does success look like in this role?Own the GCP side of the target architecture as a first-class cloud: landing zone, resource hierarchy, Shared VPC, and Organization Policy on Google CloudSet the GCP reference patterns other pods build on: Cloud IAM and Workload Identity, VPC Service Controls, Cloud KMS, and Artifact RegistryDesign, build, and deliver production-ready AI-enabled applications and intelligent agents with robust testing, observability, and operational resilienceArchitect solutions that deliberately balance agents, workflows, retrieval, tools, memory,



and human oversight—and recognize when traditional software is the better solutionIntegrate foundation models with enterprise systems including APIs, identity platforms, business applications, and data sources using secure, well-defined contractsDevelop evaluation frameworks that measure AI quality using automated testing, regression suites, trace analysis, and business outcome metrics—not just successful demonstrationsDesign AI systems that meet financial-services expectations around privacy, auditability, security, governance, authorization, and responsible AIPartner closely with clients to understand business challenges, translate ambiguity into actionable delivery plans, and communicate technical decisions with clarityLead technical discussions, mentor engineers, conduct architecture reviews, and contribute reusable patterns that strengthen both client delivery and RAVL's AI capabilitiesContinuously improve engineering practices by identifying opportunities for automation, standardization, and operational excellence across engagementsSounds outstanding, but do my skills fit? We're looking for engineers who combine strong software engineering fundamentals with practical experience building AI-powered systems.
Hands-on GCP architecture, not Azure or AWS only: landing zones, resource hierarchy, Shared VPC, and Org PolicyDeliberate GCP-versus-Azure trade-offs and portable patterns across both cloudsProfessional software engineering experience using Python or Type Script,



with a strong focus on clean architecture, testing, maintainability, and production qualityExperience designing distributed systems and integrating enterprise APIs, including authentication, authorization, resilience, idempotency, and service boundariesHands-on experience building AI-enabled applications using modern LLM frameworks, orchestration patterns, retrieval-augmented generation (RAG), tool use, memory strategies, and human-in-the-loop workflowsExperience evaluating AI systems through structured testing, trace analysis, regression testing, and measurable quality metricsStrong understanding of secure software development and responsible AI practices, particularly around privacy, governance, prompt injection, auditability, and access controlsExperience collaborating directly with stakeholders to translate business problems into practical technical solutionsFor Senior and Principal candidates, demonstrated experience leading technical initiatives, influencing architecture decisions, mentoring engineers, and navigating ambiguity on complex delivery engagementsExtensive experience in GCP environmentsNice To Have SkillsExperience delivering AI solutions within banking, insurance, wealth management, or capital marketsExperience designing intuitive human-AI experiences that improve user adoption and trustExperience with multimodal AI or model adaptation techniquesExperience with Azure AI Foundry, Azure Open AI, AWS Bedrock, or similar managed AI platformsCloud certifications (Azure, AWS, or Google Cloud)Experience consulting with enterprise clients or working in professional services environmentsMindset TraitsYou thrive in ambiguity and enjoy bringing structure to complex technical problemsYou balance expe

📌 Ai solutions architect (Toronto)
🏢 RAVL
📍 Toronto