AI Solutions Architect

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. AI Solutions Engineer to help our financial services clients turn ambitious AI ideas into secure, scalable, production-ready solutions. software 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. Design, build, and deliver production-ready AI-enabled applications and intelligent agents with robust testing, observability, and operational resilience. Architect solutions that deliberately balance agents, workflows, retrieval, tools, memory, and human oversight—and recognize when traditional software is the better solution. Integrate foundation models with enterprise systems including APIs, identity platforms, business applications, and data sources using secure, well-defined contracts. Develop evaluation frameworks that measure AI quality using automated testing, regression suites, trace analysis, and business outcome metrics—not just successful demonstrations. Design AI systems that meet financial-services expectations around privacy, auditability, security, governance, authorization, and responsible AI. Partner closely with clients to understand business challenges, translate ambiguity into actionable delivery plans, and communicate technical decisions with clarity. Lead technical discussions, mentor engineers, conduct architecture reviews, and contribute reusable patterns that strengthen both client delivery and RAVL's AI capabilities. We're looking for engineers who combine strong software engineering fundamentals with practical experience building AI-powered systems. Professional software engineering experience using Python or TypeScript , with a strong focus on clean architecture, testing, maintainability, and production quality. Hands-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 workflows. Experience evaluating AI systems through structured testing, trace analysis, regression testing, and measurable quality metrics. Strong understanding of secure software development and responsible AI practices, particularly around privacy, governance, prompt injection, auditability, and access controls. Experience collaborating directly with stakeholders to translate business problems into practical technical solutions. For Senior and Principal candidates, demonstrated experience leading technical initiatives, influencing architecture decisions, mentoring engineers, and navigating ambiguity on complex delivery engagements. Experience delivering AI solutions within banking, insurance, wealth management, or capital markets. Experience designing intuitive human-AI experiences that improve user adoption and trust. Experience with multimodal AI or model adaptation techniques. Experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, or similar managed AI platforms. Cloud certifications (Azure, AWS, or Google Cloud). You thrive in ambiguity and enjoy bringing structure to complex technical problems. You communicate clearly with both technical and non-technical stakeholders. You enjoy mentoring others and raising the technical bar around you. You're curious, pragmatic, and continuously learning as AI technologies evolve. Help shape the future of AI delivery within one of Canada's leading technology consulting firms. 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 & dental coverage, including mental health support. Commitment to lifelong learning through mentorship, certifications, and continuous improvement. current permanent opportunity . 120,000–$170,000 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 repl