Jobs at Levio

Develop and maintain high-performance Java platforms and secure Spring Boot microservices using REST APIs. Build robust data-access layers, apply automated testing and code-review practices, collaborate with global Agile teams, and deliver end-to-end solutions. Lead technical initiatives independently while ensuring development quality, security, and compliance.

Develops and executes integrated B2B marketing initiatives supporting business growth, sales enablement, offer positioning, thought leadership, content creation, events, client engagement, branding, and internal and external communications. Partners with business leaders, sales teams, subject-matter experts, and clients to translate complex technology and consulting concepts into compelling content and marketing activities while tracking performance and maintaining brand consistency.

Conçoit, développe, déploie et exploite des modèles de machine learning et d’IA générative en production. Construit des pipelines d’entraînement, validation, inférence et CI/CD, soutient les architectures LLM et RAG, surveille la performance et la dérive des systèmes, optimise les coûts et la latence, et veille à la sécurité, à la confidentialité et à l’IA responsable. Collabore avec les équipes d’architecture, de développement et de données, tout en encadrant des ingénieurs juniors.

Manage a major banking-sector technology project in a hybrid Montreal environment. Responsibilities include detailed project planning, coordinating internal and external teams, managing deliverables, costs, schedules, quality, risks, testing, validation, implementation, change management, communications, and user training. The role requires managing multiple IT initiatives simultaneously while maintaining strong French and advanced English communication skills.

Analyzes and documents functional and system requirements for BI, advanced analytics, and data-platform projects. Collaborates with architects, business analysts, product owners, and testing teams; defines scopes, supports solution integration, evaluates system impacts, validates migrations, executes testing, resolves complex defects, and maintains functional and test documentation. The role also transfers knowledge to application support teams and works with Azure-based data, ETL, analytics, monitoring, and access-control technologies.

Develops and maintains high-quality ETL applications using Talend and related integration technologies. Responsibilities include analyzing requirements, documenting solutions, training users and peers, installing and testing software packages, deploying applications, troubleshooting issues, and managing priorities. The role also requires collaboration with clients and analysts, experience with cloud and reporting tools, programming in Java, Python or Perl, Unix scripting, application development, and DevOps practices.

Coordinate and produce service proposals for public, parapublic, and private-sector clients. Monitor tender opportunities, track addenda and results, organize bid activities, prepare response templates, coordinate contributors, format and review submission documents, ensure administrative compliance, and maintain proposal tools, response libraries, calendars, and Salesforce. The role requires strong organization, written and verbal communication, attention to detail, Microsoft 365 proficiency, and French-English bilingualism.

Analyzes existing and new AI and analytics use cases, documenting current and target states, business rules, data transformations, pipelines, reports, and models. Translates business needs into functional and non-functional specifications for Azure-based data platforms. Identifies dependencies and impacts, supports technical integration and validation, ensures traceability, and contributes to testing strategy. Collaborates with BI, AI, data engineering, and infrastructure teams on MLOps and LLMOps initiatives.

Conçoit, exploite et fait évoluer des plateformes CI/CD et leurs runners cloud ou auto-hébergés. Intègre l’intelligence artificielle et l’automatisation aux pipelines, établit des standards de gouvernance et de sécurité AI, et accompagne les équipes de développement dans l’adoption des pratiques DevOps, DevSecOps et CI/CD. Optimise la performance, la sécurité et les coûts des environnements Azure.

Pilote l’adoption et la mise à l’échelle de l’intelligence artificielle dans les équipes d’affaires et TI. Conçoit des stratégies de gestion du changement, des programmes de formation, des communautés de pratique et des ressources d’utilisation de l’IA. Mesure l’adoption, la création de valeur et le retour sur investissement, élimine les obstacles et traduit les politiques de gouvernance en pratiques opérationnelles. Collabore avec les équipes techniques pour aligner l’adoption sur la livraison de solutions IA.

Designs, develops, and maintains high-performance Java platforms supporting lending businesses. Builds Spring Boot microservices, REST APIs, and data access layers; applies automated testing, code reviews, security, and SDLC best practices. Collaborates with global teams in Agile delivery, drives technical initiatives, and provides technical guidance.

Develops and executes integrated B2B marketing initiatives supporting business growth, sales enablement, offer positioning, content marketing, thought leadership, events, client engagement, and corporate communications. Partners with business leaders, sales teams, subject matter experts, and stakeholders to create compelling marketing materials, launch service offerings, strengthen brand consistency, and support business development and pipeline generation.

Develop and optimize Python backend services for financial forecasting automation. Build and evolve distributed architectures and data pipelines using DataIQ, Databricks, and Snowflake. Automate recurring processing with Python and SQL, collaborate with engineering, data, and infrastructure teams, and contribute to architecture decisions, testing, CI/CD, monitoring, security, and performance improvements. Integrate legacy platforms such as Teradata while modernizing deliverables toward Snowflake.

Develop and deploy production-grade AI and generative AI solutions, including NLP, LLM, predictive-model, and intelligent-agent applications. Build AI services with AWS Bedrock and SageMaker, design APIs and microservices, and establish practices for model lifecycle management, monitoring, security, privacy, responsible AI, and cost optimization. Provide technical leadership through code reviews and mentoring while applying AI-assisted development tools.

Develop and optimize Python backend services that automate financial forecasting and recurring processing. Build and evolve data pipelines and distributed architectures using SQL, DataIQ, Databricks, and Snowflake. Collaborate with engineering, data, and infrastructure teams on integrations, architecture, testing, CI/CD, monitoring, performance, reliability, and security. Work with Teradata and legacy platforms while delivering solutions in a regulated financial environment.

Support ESG initiatives by collecting, validating, and structuring environmental data; researching sustainability practices; documenting policies and processes; preparing internal content, reports, and tender responses; and contributing to environmental reporting, including CDP activities. The role requires strong research, analysis, writing, organization, collaboration, and communication skills, with proficiency in Microsoft 365 tools. This is a temporary, part-time hybrid position in Quebec from October 2026 to April 2027.

Conducts moderated and unmoderated user research for Canadian public sector projects, including interviews, surveys, diary studies, usability, accessibility, card sorting, and tree-jacking. The researcher scopes and executes studies, analyzes findings, produces reports and presentations, and provides recommendations for information architecture, content, interface, and service design. The role also contributes insights to design systems and research repositories while applying ethical, privacy, accessibility, and inclusive practices in Agile teams.

Design accessible, user-friendly digital products and services for Canadian public sector projects. Create wireframes, prototypes, interfaces, reusable components, design-system contributions, and annotated specifications for development handoff. Support user research, personas, usability testing, iterative feedback, accessibility compliance, and visual brand guidelines. Collaborate with stakeholders and Agile teams, lead or participate in design critiques, communicate strategic alignment, and present evidence-based recommendations. The role requires more than 10 years of UX experience and familiarity with AI, specifically Claude Code.

Le Scientifique de données réalisera des revues de littérature, collectera et intégrera de grands volumes de données, puis développera et évaluera des modèles d’apprentissage automatique. Le rôle comprend des travaux sur les réseaux de neurones graphiques, l’analyse visuelle, l’explicabilité des modèles et la détection de contenus générés par l’IA. La personne présentera ses résultats aux parties prenantes et collaborera avec une équipe de recherche à Québec en mode hybride.

Build and deploy production-ready generative AI and agentic systems, including RAG, orchestration, tool integrations, evaluation frameworks, and application infrastructure. Partner with enterprise stakeholders to identify high-value AI use cases, design trustworthy solutions within security and governance constraints, and manage systems through production adoption and iteration. Communicate architecture, cost, and delivery trade-offs to technical and non-technical audiences.