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.
About the Role
We're looking for an experienced AI Solutions Engineer to help our financial services clients turn ambitious AI ideas into secure, scalable, production-ready solutions.
This is a 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.
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 Cloud.
- Set the GCP reference patterns other pods build on: Cloud IAM and Workload Identity, VPC Service Controls, Cloud KMS, and Artifact Registry.
- 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.
- Continuously improve engineering practices by identifying opportunities for automation, standardization, and operational excellence across engagements.
Sounds great, but do my skills fit?
- Hands-on GCP architecture, not Azure or AWS only: landing zones, resource hierarchy, Shared VPC, and Org Policy.
- Deliberate GCP-versus-Azure trade-offs and portable patterns across both clouds.
- Professional software engineering experience using Python or TypeScript, with a strong focus on clean architecture, testing, maintainability, and production quality.
- Experience designing distributed systems and integrating enterprise APIs, including authentication, authorization, resilience, idempotency, and service boundaries.
- 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.
- Extensive experience in GCP environments
We're looking for engineers who combine strong software engineering fundamentals with practical experience building AI-powered systems.
Nice to have skills
- 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).
- Experience consulting with enterprise clients or working in professional services environments.
Mindset Traits
- You thrive in ambiguity and enjoy bringing structure to complex technical problems.
- You balance experimentation with engineering discipline.
- You communicate clearly with both technical and non-technical stakeholders.
- You take ownership from discovery through production support.
- You enjoy mentoring others and raising the technical bar around you.
- You're curious, pragmatic, and continuously learning as AI technologies evolve.
- You care about delivering measurable business outcomes—not just interesting technology.
Why join RAVL?
- Work alongside experienced consultants solving meaningful, enterprise-scale challenges.
- 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.
This is a current permanent opportunity.
The salary range for this role is $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 replace human review or decision-making.
Equal Opportunity & AccessibilityRAVL 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.
Skills Required
- Hands-on Google Cloud Platform architecture experience, including landing zones, resource hierarchy, Shared VPC, and Organization Policy
- Experience with GCP-versus-Azure trade-offs and portable cloud patterns
- Professional software engineering experience using Python or TypeScript
- Strong software engineering fundamentals, including clean architecture, testing, maintainability, and production quality
- Experience designing distributed systems and integrating enterprise APIs
- Experience with authentication, authorization, resilience, idempotency, and service boundaries
- Hands-on experience building AI-enabled applications using LLM frameworks, orchestration, 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
- Understanding of secure software development and responsible AI, including privacy, governance, prompt injection, auditability, and access controls
- Experience collaborating directly with stakeholders to translate business problems into technical solutions
- For Senior and Principal candidates, experience leading technical initiatives, influencing architecture decisions, mentoring engineers, and navigating ambiguity
- Extensive experience in GCP environments
- Experience delivering AI solutions in banking, insurance, wealth management, or capital markets
- Experience designing 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 certification in Azure, AWS, or Google Cloud
- Experience consulting with enterprise clients or working in professional services
What We Do
RAVL was founded by four partners who believe that the key to building exceptional technology that stands the test of time is to build, train and mentor excellent Technologists for Financial Services clients. At RAVL, we are disrupting the Technology Services industry by building better technology and technologists. We specialize in full-stack architecture and development, core systems modernization, Microservices and APIs, DevSecOps & Developer experience, Cloud Platform & tooling, and Site Reliability Engineering. Build. Better.
