---
title: 'AI Solutions Architect (Senior and Principal) at RAVL'
canonical: 'https://feeny.ai/job/ai-solutions-architect-senior-and-principal-ravl-toronto-akvrxw40mna2'
type: 'job'
last_seen: '2026-09-08'
---

# AI Solutions Architect (Senior and Principal) at RAVL

- **Company:** RAVL
- **Location:** Toronto, Canada
- **Employment:** contract
- **Work type:** hybrid
- **Posted:** 2026-07-21
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/ravl_io/5c3fc59c-91bd-4576-80d7-66f5d56477ef

## Job description

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 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? 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 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

## 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.

## Compensation & Hiring Process

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 & 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.

## About RAVL

## Company Overview
- **One-liner**: RAVL is a boutique advisory and engineering firm that helps North American financial services institutions build better technology through full-stack product development, AI modernization, cloud platform engineering, and DevSecOps.
- **Entity Type**: Private (Partnership; venture-backed with a 2025 round led by MML Capital Partners)
- **Headquarters**: Toronto, Ontario, Canada (East York; 6 Annesley Avenue, M4G 2T6), with a presence in the United States
- **Founded**: 2022
- **Founders**: Founded by four partners; leadership includes Rick Davidson (Chief Executive Officer), Dominic Wallace (Chief Technology Officer), Sean Quinn (Chairman), and Ryan Kehl (Partner)

## Core Business
- **Primary industries**: IT Services and IT Consulting; specialized in Financial Services technology (FSI)
- **Target customers**: Enterprise financial services institutions in North America (banks, insurers, capital markets firms), plus organizations undertaking legacy modernization, cloud transformation, and AI adoption
- **Mission or purpose statement**: "To be a true partner to our clients by building better technology that drives meaningful, long-lasting business outcomes." (Byline: "RAVL Builds. Better.")

## Products & Services
RAVL operates across three core delivery models plus an AI-focused methodology:

- **Advise (Strategize & Solution)**: Architecture design, business/technology capability mapping, business casing, cost optimization, customer journey mapping, governance, operating models, process improvement, technical assessments/root-cause analysis, technology selection, and technology strategy & roadmaps.
- **Build (Engineer & Deliver)**: Solutions architecture, cloud engineering, DevSecOps, platform engineering, Site Reliability Engineering, application development, AI & Machine Learning, and Infrastructure as Code.
- **BuildX (Sustain. Upskill. Empower.)**: Outcome-based delivery where clients can hire a subset of the RAVL team to extend the engagement. Combines cloud/platform engineering, software engineering, mentorship, and hands-on learning journeys.
- **AI / Leap Left (AI-first SDLC)**: RAVL's approach to AI-first software development lifecycle — aligning people, workflows, governance, and engineering systems to accelerate delivery while managing everything surrounding code creation.

Technical specialties include: full-stack digital product development, AI systems modernization (legacy-to-modern platform transformation), microservices & APIs, DevSecOps & developer experience, cloud platforms & tooling, and site reliability engineering.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding — venture round announced 2025-01-24, with 1 investor, led by MML Capital Partners; specific amount not publicly disclosed
- **Notable Investors/Partners**: MML Capital Partners (lead investor)
- **Growth Signals**: 
  - Headcount grew ~45.9% YoY (+34 employees, from ~54 to 88)
  - Monthly headcount growth at time of data: +3.8%
  - LinkedIn followers grew +32.9% yearly, to ~4,140
  - 22 active job postings (quarterly job posting trend: +57.1%)
  - Acquired New Helio, expanding capabilities
  - Workforce distributed across Canada (86) and the United States (2), with deep hiring from top consultancies and financial institutions (CGI, Capco, TD, Scotiabank, McKinsey & Company, Slalom)

## Competitive Advantages
- **Deep FSI domain fluency**: Decades of combined experience from North America's leading financial services institutions and top global consulting/engineering firms (McKinsey, Capco, TD, Scotiabank, etc.)
- **"Build. Better." execution bias**: Strategy work that is designed for real-world execution rather than slide-deck deliverables
- **End-to-end ownership**: Covers everything from advisory/strategy through build, cloud/platform engineering, DevSecOps, SRE, and AI modernization — not just code delivery
- **BuildX talent model**: A differentiated engagement model where clients can hire the team, enabling continuity and knowledge transfer rather than the traditional consultancy "hand-off"
- **Leap Left AI-first SDLC methodology**: A proprietary approach to AI-first software delivery that addresses the non-coding constraints (people, workflows, governance) around modern engineering
- **High employee satisfaction**: 4.8/5.0 employer rating (15 reviews) with culture rated 4.9 and career development rated 4.8 — a differentiator when attracting technologists

## Strategic Focus
- Scaling its AI-powered modernization and Leap Left methodology across financial services clients
- Continuing to build national (Canadian) and US presence through strategic hiring — particularly in technical roles (50 of ~88 employees are technical) and senior consulting talent
- Growing through selective acquisitions (e.g., New Helio) to expand advisory/engineering capacity
- Strengthening the BuildX model to deepen long-term client partnerships and talent development
- Building a "Talent Pool" pipeline for future hires, indicating proactive workforce planning around continued growth

## Why Work Here
- **Culture**: Rated 4.8/5.0 overall on employer review platforms — with Culture at 4.9, Career Development at 4.8, Work-Life Balance at 4.6, and Compensation at 4.6
- **Work model**: Hybrid workspace (combination of remote and on-site work) at the Toronto HQ
- **Growth environment**: 45.9% YoY headcount growth, 22 open positions, and heavy investment in mentorship and hands-on learning journeys (BuildX)
- **Engineering-led**: Technical staff make up ~46% of the workforce — engineers are core to the business, not an adjunct
- **Compensation benchmarks** (publicly listed salaries): Associate Engineer ~CAD 54,691/year; Consultant ~CAD 120,749/year; Principal Consultant ~CAD 223,802/year
- **Notable perk**: AI tools are used to support parts of the hiring process (resume review, response analysis), yet final decisions are human-driven — reflecting their AI-first but human-judgment approach
- **Impact**: Opportunity to work on mission-critical modernization and AI transformation projects for North America's leading financial institutions

## Sources
1. [ravl.io](https://www.ravl.io/)
2. [jobs.lever.co](https://jobs.lever.co/ravl_io)
3. [ca.linkedin.com](https://ca.linkedin.com/company/ravl-io)
4. [cbinsights.com](https://www.cbinsights.com/company/ravl)
5. [builtin.com](https://builtin.com/company/ravl)

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