AI Solution 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. 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 mitigate 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

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