The AI Solution Architect will design and define solution architectures for AI use cases in financial services, ensuring compliance and governance, while working closely with client stakeholders.
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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 to Build. Better.
As an AI Solution Architect at RAVL, you'll shape AI use cases from idea through scoped delivery across a major financial services client's enterprise AI portfolio. You'll define solution architectures, drive platform consolidation, and navigate enterprise governance - translating business intent into technically sound, production-ready designs. You'll work embedded alongside client stakeholders, bringing deep knowledge of Microsoft Foundry, modern AI/ML patterns, and the pragmatism to make things real in a regulated environment.
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 delivery.
- Provide L1 estimates and right-size technical approaches to client constraints, timelines, and platform capabilities.
- Drive platform consolidation by identifying reuse opportunities across lines of business and rationalizing overlapping tooling.
- Design and document integration patterns using Microsoft Foundry and its component services - Document Intelligence, Content Understanding, Azure OpenAI Service, and Foundry Models.
- Navigate enterprise governance including responsible AI forums, cloud onboarding processes, and security/compliance review gates.
- Translate business requirements into decomposed, estimatable backlogs that engineering teams can build against.
- Embed with client solution architects and delivery teams, operating as a trusted technical authority from day one.
- Produce technical artifacts - architecture diagrams, integration maps, decision records - that drive alignment across business and technology stakeholders.
- Identify and escalate architectural risks early, proposing mitigations before they become delivery blockers.
- At higher levels: shape AI strategy across the portfolio, influence platform direction, and mentor junior architects and engineers.
Great, do my skills fit?
- Strong architecture skills across Microsoft Foundry and its Foundry Tools - Document Intelligence, Content Understanding, Azure OpenAI Service, Foundry Models, Foundry IQ.
- Hands-on experience designing AI/ML solution architectures in enterprise environments, ideally financial services.
- Deep understanding of document processing pipelines, including OCR, classification, extraction, and enrichment patterns.
- Experience with LLM integration patterns - prompt engineering, RAG architectures, fine-tuning workflows, and guardrails.
- Proficiency with Python for prototyping, proof-of-concept development, and pipeline scripting.
- Solid grasp of API design, microservices, and event-driven architectures in cloud-native environments.
- Experience working within enterprise governance frameworks - responsible AI, model risk management, cloud onboarding, security review.
- Strong understanding of data integration patterns across multiple lines of business and legacy systems.
- Familiarity with DevOps/MLOps tooling - CI/CD pipelines, infrastructure as code, model deployment and monitoring.
- Knowledge of identity, encryption, RBAC, and secrets management in regulated cloud environments.
- Experience producing architecture decision records, solution-on-a-page documents, and integration diagrams for senior stakeholders.
- Comfortable working cross-functionally with engineering, business analysis, and executive sponsors.
- Clear written communication skills for technical documentation, governance submissions, and stakeholder briefings.
Mindset Traits
- Delivery-first and outcome-oriented (get-shit-done mentality).
- Creative and open to new approaches in AI architecture and platform design.
- Comfortable working in ambiguity and shaping clarity from loosely defined business problems.
- Influential presence: able to shape direction as a trusted outsider in client environments.
- Operates as a high-performing remote consultant, ensuring work is visible, transparent, and uplifting to peers.
- Demonstrates RAVL's higher performance bar: curiosity, delivery excellence, emotional awareness, and adaptability.
Non-Negotiables - Required Technical Skills
- Microsoft Foundry and Foundry Tools (Document Intelligence, Azure OpenAI Service, Content Understanding - hands-on, not theoretical)
- AI/ML solution architecture in enterprise or regulated environments
- Python (prototyping, pipeline development, proof-of-concept work)
- LLM integration patterns (RAG, prompt engineering, guardrails, evaluation)
- Enterprise governance navigation (responsible AI, cloud onboarding, security review)
- API and integration design (REST, event-driven, microservices)
- Security fundamentals: IAM, RBAC, encryption, secrets management
- Technical documentation: solution-on-a-page, architecture decision records, integration maps
(Candidates missing these will not be considered further.)
Certifications (Nice to Have)
- Azure Solutions Architect Expert
- Azure AI Engineer Associate
- AWS Solutions Architect (Associate/Professional)
- Google Professional Cloud Architect
- Certified Kubernetes Administrator (CKA)
Why work at RAVL?
- Flexible, client-aligned 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 & dental coverage, including mental health support
- Commitment to lifelong learning — continuous improvement through training, mentorship, and certification
Compensation & hiring process
We are recruiting for a future opportunity. 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.
Top Skills
Api Design
Azure Openai Service
DevOps
Document Intelligence
Llm Integration Patterns
Microservices
Microsoft Foundry
Mlops Tooling
Python
RAVL Toronto, Ontario, CAN Office
Toronto, Ontario, Canada
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