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 are here to leave our clients better than we found them, and to create a place where our people are proud to build better.What does success look like in this role?Define end-to-end solution architectures for AI use cases across a financial services enterprise, from use case shaping through solution‑on‑a‑page deliveryProvide L1 estimates and right‑size technical approaches to client constraints, timelines, and platform capabilitiesDrive platform consolidation by identifying reuse opportunities across lines of business and rationalizing overlapping toolingDesign and document integration patterns using Microsoft Foundry and its component services – Document Intelligence, Content Understanding, Azure OpenAI Service, and Foundry ModelsNavigate enterprise governance including responsible AI forums, cloud onboarding processes, and security/compliance review gatesTranslate business requirements into decomposed, estimatable backlogs that engineering teams can build againstEmbed with client solution architects and delivery teams, operating as a trusted technical authority from day oneProduce technical artifacts – architecture diagrams, integration maps, decision records – that drive alignment across business and technology stakeholdersIdentify and elevate architectural risks early, proposing mitigations before they become delivery blockersAt higher levels: shape AI strategy across the portfolio, influence platform direction, and mentor junior architects and engineersGreat, do my skills fit?Solid architecture skills across Microsoft Foundry and its tools – Document Intelligence, Content Understanding, Azure OpenAI Service, Foundry Models, Foundry IQHands‑on experience designing AI/ML solution architectures in enterprise environments, ideally financial servicesDeep understanding of document processing pipelines, including OCR, classification, extraction, and enrichment patternsExperience with LLM integration patterns – prompt engineering, RAG architectures, fine‑tuning workflows, and guardrailsProficiency with Python for prototyping,



proof‑of‑concept development, and pipeline scriptingSolid grasp of API design, microservices, and event‑driven architectures in cloud‑native environmentsExperience working within enterprise governance frameworks – responsible AI, model risk management, cloud onboarding, security reviewStrong understanding of data integration patterns across multiple lines of business and legacy systemsFamiliarity with DevOps/MLOps tooling – CI/CD pipelines, infrastructure as code, model deployment and monitoringKnowledge of identity, encryption, RBAC, and secrets management in regulated cloud environmentsExperience producing architecture decision records, solution‑on‑a‑page documents, and integration diagrams for senior stakeholdersComfortable working cross‑functionally with engineering, business analysis, and executive sponsorsClear written communication skills for technical documentation, governance submissions, and stakeholder briefingsMindset TraitsDelivery‑first and outcome‑oriented (get‑shit‑done mentality)Creative and open to new approaches in AI architecture and platform designComfortable working in ambiguity and shaping clarity from loosely defined business problemsInfluential presence: able to shape direction as a trusted outsider in client environmentsOperates as a high‑performing remote consultant, ensuring work is visible, transparent, and uplifting to peersDemonstrates RAVL’s higher performance bar: curiosity, delivery excellence, emotional awareness, and adaptabilityNon‑Negotiables – Required Technical SkillsMicrosoft Foundry and Foundry Tools – Document Intelligence, Azure OpenAI Service, Content Understanding – hands‑on experienceAI/ML solution architecture in enterprise or regulated environmentsPython for prototyping, pipeline development, proof‑of‑concept workLLM integration patterns – RAG, prompt engineering, guardrails, evaluationEnterprise governance navigation – responsible AI, cloud onboarding,



security reviewAPI and integration design – REST, event‑driven, microservicesSecurity fundamentals – IAM, RBAC, encryption, secrets managementTechnical documentation – solution‑on‑a‑page, architecture decision records, integration mapsCandidates missing these will not be considered further.Certifications (Nice to Have)Azure Solutions Architect ExpertAzure AI Engineer AssociateAWS Solutions Architect (Associate/Professional)Google Professional Cloud ArchitectCertified Kubernetes Administrator (CKA)Why work at RAVL?Flexible, client‑aligned work model – autonomy with accountability, adapting to client delivery needsVariable bonus & RRSP contributions tied to performance and delivery impact4 weeks paid time off (plus public holidays)Paid professional development days and continuous learning opportunitiesComprehensive health & dental coverage, including mental health supportCommitment to lifelong learning – continuous improvement through training, mentorship, and certificationCompensation & Hiring Process We are recruiting for a future prospect. The salary range for this role is $150,000–$190,000 CAD, reflecting expected base pay. Total compensation may also include additional pay such as bonuses or incentives, depending on the position, and final offers are based on experience, skills, and qualifications. As part of our hiring process we may use technology, including AI‑based tools, to help summarize and assess applications; these tools assist our team and do not replace human review or decision‑making.Equal Opportunity & Accessibility RAVL is an equal opportunity employer committed to building a diverse, inclusive, and accessible workplace. We welcome applications from all qualified individuals and provide accommodations throughout the hiring process upon request. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.#J-18808-Ljbffr

📌 Ai Solution Architect - C$150,000 - C$190,000 A Year - Remote (Toronto)
🏢 RAVL
📍 Toronto