Solutions Architect
Resume:
RICARDO FIGUEIREDO
Montreal, Quebec, Canada
******************@*****.***
LinkedIn: https://www.linkedin.com/in/ricardoborgesfigueiredo/ AI SOLUTIONS ARCHITECT
Enterprise AI Architecture • Distributed Systems • Multi Tenant SaaS • Identity Federation • High Availability Design
PROFESSIONAL SUMMARY
AI Solutions Architect with 12+ years of experience evolving from enterprise integration engineering to distributed system design and AI-enabled platform architecture. Proven ability to translate executive-level business challenges into scalable, secure, and resilient technical solutions.
Experience spans enterprise banking and telecom environments, high-availability biometric systems for U.S. government entities, multi-tenant SaaS platforms, geolocation-based orchestration engines, and AI-powered systems integrating large language models (LLMs). Recognized for delivering outcome-driven architectures that reduce operational friction, increase automation, and enable intelligent decision-making. Combines deep hands-on engineering maturity with architectural leadership across cloud-native, integration-heavy, and AI-driven environments.
CORE ARCHITECTURE COMPETENCIES
• AI & LLM Integration Architecture (Cloud & Local Models)
• Distributed Systems & High-Availability Design
• Multi-Tenant SaaS Architecture
• API Gateway & Service Orchestration
• Identity Federation (OAuth2 / OpenID Connect)
• Enterprise Integration (SOA, REST, SOAP)
• Data Ingestion & Processing Pipelines
• Geolocation & Intelligent Matching Engines
• Automation & Workflow Orchestration
• Secure Secret & Key Management
• Relational Data Modeling (PostgreSQL, SQL Server)
• Stripe Billing & Subscription Lifecycle Architecture
• Cloud-Native & CI/CD Pipeline Governance
• Executive Technical Advisory & Solution Structuring PROFESSIONAL EXPERIENCE
SENIOR CONSULTANT – CGI
Montreal, Canada 2017 – Present
Engagements: Nethris (Payroll & HR SaaS) • Banque Nationale du Canada • Videotron • Hydro-Québec, Bombardier
Business Context:
Contributed to large-scale enterprise environments across banking, aviation, telecom, energy, and payroll domains operating under strict regulatory, compliance, and governance standards. Architectural Exposure & Contributions:
• Contributed to multi-layered enterprise application architectures separating presentation, business logic, and service layers.
• Designed and consumed REST-based APIs supporting banking and telecom systems under regulatory constraints.
• Participated in CI/CD pipeline implementation using Azure DevOps, Git-based workflows, branching strategies, and controlled release management.
• Collaborated within distributed teams operating under enterprise governance, automated testing frameworks, and structured code review processes.
• Worked in service-oriented architectures integrating backend services, relational databases, and frontend applications.
• Supported modernization initiatives aligning legacy systems with API-first and cloud-ready approaches.
Outcome: Delivered stable, secure, and maintainable enterprise-grade solutions across regulated industries while contributing to architectural consistency, governance, and long-term system evolution.
CONSULTANT – VALID S.A (Biometrics & U.S. Government) Brazil 2015 – 2016
Business Challenge:
Support high-volume biometric identity validation for U.S. - Washington Department of Licensing operations.
Architectural Contribution & Outcomes:
• Co-designed distributed facial recognition processing architecture supporting large-scale identity validation.
• Implemented gateway-based workload distribution across eight processing servers deployed in two independent data centers.
• Designed redundancy and failover strategies maintaining operational continuity even under catastrophic multi-node failure scenarios.
• Operated within strict regulatory and security environments. Outcome: Contributed to a high-availability architecture ensuring reliability, resilience, and regulatory compliance in a mission-critical government system. AI SOLUTIONS ARCHITECT – LANGTUTOR (EdTech SaaS)
Remote 2024 – 2025
Business Challenge:
Build a scalable AI-powered language learning platform capable of supporting web and mobile users while delivering adaptive, LLM-assisted learning experiences. Architectural Contribution & Outcomes:
• Designed a unified backend serving both web and mobile clients through a scalable API-first design.
• Designed AI-assisted learning workflows integrating large language model services for contextual vocabulary reinforcement.
• Structured relational data models for user accounts, sessions, vocabulary tracking, and progression analytics.
• Implemented OAuth-based identity federation (Google, LinkedIn, Apple) to ensure secure onboarding and session control.
• Designed subscription lifecycle orchestration integrating Stripe billing and access control mechanisms.
• Applied clean architecture and TDD principles to ensure maintainability and scalability. Outcome: Delivered a production-ready AI-enabled SaaS architecture capable of scaling across multiple client platforms while maintaining security, data integrity, and extensibility. SOLUTIONS ARCHITECT – AIESTATEADMIN (PropTech SaaS) Remote 2024 – Present
Business Challenge:
Reduce operational friction in property maintenance workflows and eliminate manual coordination between tenants, property managers, and service providers. Architectural Contribution & Outcomes:
• Designed a geolocation-based intelligent matching engine that connects property maintenance requests with the nearest qualified service providers across U.S. territory.
• Architected rule-based workflow automation supporting predefined pricing validation and automated approval logic.
• Integrated third-party notification APIs (SMS and email) for real-time service dispatch and status updates.
• Structured a secure multi-tenant SaaS backend with relational data persistence and third-party authentication.
• Designed QR-based service initiation flows reducing communication overhead. Outcome: Delivered an automation-first architecture that significantly reduced manual oversight while improving operational responsiveness and scalability. AI SOLUTION ARCHITECT – AI RETAIL BRAIN (Concept & Architecture Phase) 2024 – Present
Business Challenge:
Unify fragmented retail operational data to enable intelligent forecasting and automated decision-making.
Architectural Contribution & Outcomes:
• Designed a cloud-native multi-tenant SaaS architecture integrating Point of Sale (POS) systems (retail transaction terminals), inventory databases, and supplier feeds.
• Structured data ingestion pipelines consolidating transactional retail data into analytics-ready streams.
• Defined AI forecasting architecture enabling demand prediction and automated recommendations.
• Designed federated authentication using third-party identity providers to secure access across tenants.
Outcome: Established a scalable architectural foundation capable of transforming operational retail data into AI-driven business intelligence.
PLATFORM ARCHITECT & TECHNICAL ADVISOR – COFOUNDRY Remote 2024 – Present
Business Challenge:
Early-stage founders lacked structured technical guidance to translate ideas into scalable and investor-ready architectures.
Architectural Contribution & Outcomes:
• Designed standardized SaaS architecture frameworks supporting MVP validation and scalable evolution.
• Structured AI-assisted workflow orchestration enabling guided decision-making processes.
• Defined platform-level system decomposition aligning product design, technical feasibility, and scalability constraints.
Outcome: Reduced execution risk for startup teams by transforming abstract ideas into structured, scalable technical foundations.
INTEGRATION ARCHITECTURE CONTRIBUTOR – NESTLÉ
Brazil 2010 – 2011
Business Challenge:
Automate enterprise ticket management integrated with identity systems across global operations.
Architectural Contribution & Outcomes:
• Designed and maintained integration between Active Directory and HP Service Manager.
• Supported orchestration of approximately 50,000 monthly automated service tickets.
• Contributed to enterprise-level architecture discussions aligning identity governance and workflow automation.
Outcome: Improved automation reliability and reduced operational friction across enterprise service workflows.
INTEGRATION ARCHITECTURE CONTRIBUTOR – ZAP IMÓVEIS Brazil 2007 – 2008
Business Challenge:
Unify multiple external real estate & car dealerships data feeds into a centralized processing platform.
Architectural Contribution & Outcomes:
• Designed a unified data ingestion engine consolidating multiple external web service feeds into a centralized repository.
• Reduced operational complexity by replacing multiple import processes with a single orchestration service.
• Developed automated reporting mechanisms for import validation and processing transparency.
Outcome: Increased scalability and maintainability of one of Brazil’s largest classifieds portal. ADDITIONAL EARLY CAREER EXPERIENCE (2008–2014)
Multiple enterprise and consulting engagements across banking, government, insurance, and financial services environments.
Contributed to application development, system integrations, and service-oriented architectures supporting regulated and operationally sensitive domains. These roles strengthened foundational expertise in enterprise system design, layered architectures, database integration, and service orchestration.
Detailed experience available upon request.
AI & ADVANCED SYSTEMS EXPOSURE
Experience integrating and experimenting with advanced AI and LLM ecosystems, including Mistral, Gemma, Phi-3, Llama 3, LM Studio, Oobabooga, AnythingLLM, PrivateGPT, Whisper, and RAG-based architectures.
Applied these technologies within secure automation, conversational systems, and AI-enabled SaaS environments.
EDUCATION
Bachelor’s Degree in Information Technology
Faculdade Módulo Paulista – Brazil
LANGUAGES
Portuguese – Native
English – Advanced
French – Advanced
PROFESSIONAL POSITIONING
AI Solutions Architect focused on designing intelligent, scalable, and secure systems that transform business complexity into structured, automation-driven solutions. Recognized for outcome-oriented architecture, executive communication, and the ability to bridge AI innovation with enterprise-grade reliability.
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