Levio

Role Description We are seeking an Artificial Intelligence Security Architect to contribute to major projects. The Artificial Intelligence Security Architect is responsible for defining the security architecture, governance, and risk management frameworks for AI and machine learning systems across the organization. This senior role ensures AI technologies are designed, deployed, and operated securely, ethically, and in compliance with regulatory requirements. The architect works closely with AI engineering teams, cloud architects, GRC leaders, and executive stakeholders to embed security and trust into AI-driven solutions. The role will be remote. Qualifications - Deep understanding of AI/ML architectures and lifecycle. - Strong knowledge of AI security threats and mitigations. - Expertise in cloud AI platforms and secure cloud architecture. - Strong background in cybersecurity architecture and risk management. - Familiarity with AI governance and ethical AI frameworks. - CISSP, ISO 27001 Lead Implementer, NIST AI RMF Practitioner, CCSP (Cloud Security), AI governance or ethics certifications (an asset). Requirements - Define enterprise AI security architecture and guardrails. - Establish secure reference architectures for AI platforms, models, and data pipelines. - Design controls to mitigate AI-specific threats (model abuse, data poisoning, adversarial attacks). - Align AI security strategy with Zero Trust and defense-in-depth principles. - Architect AI governance frameworks aligned with NIST AI RMF, ISO standards, and regulatory requirements. - Define AI risk classification, impact assessment, and control baselines. - Support AI auditability, explainability, transparency, and accountability. - Architect secure MLOps pipelines with integrated security controls. - Define access, identity, secrets management, and logging for AI platforms. - Ensure secure use of third-party and open-source AI models. - Define data protection architecture for AI datasets and outputs. - Ensure compliance with privacy laws (GDPR, Law 25, PIPEDA). - Architect anonymization, encryption, and data governance mechanisms. - Act as senior advisor on AI security and trust. - Mentor analysts and guide AI engineering teams. - Communicate AI risks and mitigation strategies to executives and boards. Benefits - 4 weeks of cumulative vacation starting from day one. - Flexible working hours. - Professional Development Allowance (PDA) for training, computer equipment, and physical activities. - Training tailored to your areas of expertise. - Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary. - Modular group insurance plan. - Public transportation or parking reimbursement when required. - Referral bonuses. - 11 statutory holidays. - Personal days. - An active social life (5to7 events, social club, healthy snacks, coffee, and more).

Role Description We are seeking ML/AI Engineers to contribute to major projects. The ML / AI Engineer design, build, deploy, and operate production-grade machine learning and generative AI systems. This role owns the end-to-end ML lifecycle, ensuring models and AI services are scalable, reliable, secure, and deliver measurable business value. The role will be remote. Why Join Levio? - Work on complex, high impact digital transformation projects - Collaborate with experienced, multidisciplinary teams - Continuously develop your technical and professional expertise - Enjoy flexibility, autonomy, and a strong people first culture - Be part of an organization that values diversity, inclusion, and innovation Role and Responsibilities - Design, implement, and productionize machine learning and generative AI models - Build training, validation, and inference pipelines for ML and LLM-based solutions - Implement feature engineering, embeddings, and model versioning best practices - Support LLM-based systems, including RAG architectures and inference optimization - Implement CI/CD for ML and LLM workflows, including automated deployment and rollback - Monitor AI systems for performance, drift, bias, and reliability in production - Optimize compute usage, latency, and operational costs across AI workloads - Ensure AI systems comply with security, privacy, and responsible-AI standards - Collaborate with AI Architects, Developers, and Data Engineers across delivery teams - Mentor junior ML/AI engineers and contribute to engineering best practices Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field - 6+ years of experience in engineering roles, with 3+ years in AI/ML positions - Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) - Hands-on experience deploying and operating ML models in production - Experience with cloud ML platforms, especially AWS SageMaker - Strong understanding of data pipelines, model lifecycle management, and monitoring Compensation (Ontario) The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate. Estimated salary range: $110,000 to $150,000 per year. Benefits - 4 weeks of cumulative vacation starting from day one - Flexible working hours - Professional Development Allowance (PDA) for training, computer equipment, and physical activities - Training tailored to your areas of expertise - Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary - Modular group insurance plan - Public transportation or parking reimbursement when required - Referral bonuses - 11 statutory holidays - Personal days - An active social life (5to7 events, social club, healthy snacks, coffee, and more) Position Details - Employment type: Full time, permanent Employment Equity Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities. We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.

Role Description We are seeking an AI Solution Architect to define, design, and lead the delivery of enterprise-grade AI and generative AI solutions. This role bridges business strategy, solution architecture, and advanced AI technologies to ensure solutions are scalable, secure, compliant, and aligned with organizational objectives. The role will be remote. - Lead end-to-end architecture of AI and generative AI solutions from use-case definition through production - Design cloud-native AI architectures leveraging modern data, ML, and LLM platforms - Define reference architectures, patterns, and best practices for enterprise AI adoption - Evaluate and select AI platforms, foundation models, and tools based on value, risk, and cost considerations - Partner with business and executive stakeholders to identify high-value AI opportunities - Translate business requirements into clear solution designs, trade-offs, and roadmaps - Architect AI solutions using AWS Bedrock and AWS SageMaker - Ensure alignment with cloud governance, security, privacy, and compliance standards - Provide architectural oversight, design reviews, and mentorship to delivery teams - Embed responsible AI, risk management, monitoring, and lifecycle practices into designs Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field - 8+ years of experience in solution architecture or senior technical roles, including 4+ years delivering AI/ML solutions - Strong understanding of machine learning, generative AI, and LLM-based architectures - Proven experience architecting AI solutions on AWS, including AWS SageMaker and AWS Bedrock - Deep knowledge of cloud architecture, APIs, microservices, and event-driven systems - Ability to balance technical depth with business, risk, and regulatory considerations Preferred Qualifications - Experience with LLM platforms, RAG architectures, and AI agent systems - Familiarity with MLOps, model monitoring, and AI lifecycle management - Experience in regulated or enterprise environments - Consulting or client-facing solution architecture experience Compensation (Ontario) The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate. Estimated salary range: $150,000 to $200,000 per year. Benefits - 4 weeks of cumulative vacation starting from day one - Flexible working hours - Professional Development Allowance (PDA) for training, computer equipment, and physical activities - Training tailored to your areas of expertise - Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary - Modular group insurance plan - Public transportation or parking reimbursement when required - Referral bonuses - 11 statutory holidays - Personal days - An active social life (5to7 events, social club, healthy snacks, coffee, and more) Position Details - Employment type: Full time, permanent Notice on the Use of Artificial Intelligence in Recruitment We use AI enabled tools to help sort and review applications based on job related criteria. Final decisions regarding candidate progression are always made by a human recruiter. Employment Equity Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities. We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.

Role Description We are seeking an AI Developer / Prompt Engineer to contribute to major projects. The AI Developer will lead the design, development, and deployment of advanced AI-enabled solutions in enterprise and cloud environments. This role combines strong software engineering discipline with deep hands-on experience in machine learning, generative AI, and modern AI development platforms. The role will be remote. - Architect, develop, and deploy production-grade AI and generative AI solutions aligned with business outcomes - Lead implementation of NLP, LLM-based applications, predictive models, and intelligent agents - Build and integrate AI services using AWS Bedrock and AWS SageMaker - Apply AI-assisted development practices using GitHub Copilot and Claude Code - Design APIs, microservices, and event-driven integrations - Establish best practices for model lifecycle management, monitoring, security, and cost optimization - Provide technical leadership, code reviews, and mentoring - Ensure AI solutions meet security, privacy, and responsible AI standards Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field - 6+ years software development experience, including 3+ years delivering AI solutions - Expert proficiency in Python and strong backend development experience - Hands-on experience with TensorFlow, PyTorch, or scikit-learn - Proven experience with AWS SageMaker and AWS Bedrock - Familiarity with GitHub Copilot and Claude Code - Strong cloud-native and microservices architecture experience Requirements - Experience with LLM-based and agentic systems - Knowledge of MLOps and AI governance - Experience with vector databases and RAG architectures - Consulting or client-facing delivery experience Compensation (Ontario) The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate. Estimated salary range: $100,000 to $140,000 per year. Benefits - 4 weeks of cumulative vacation starting from day one - Flexible working hours - Professional Development Allowance (PDA) for training, computer equipment, and physical activities - Training tailored to your areas of expertise - Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary - Modular group insurance plan - Public transportation or parking reimbursement when required - Referral bonuses - 11 statutory holidays - Personal days - An active social life (5to7 events, social club, healthy snacks, coffee, and more) Position Details - Employment type: Full time, permanent Employment Equity Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities. We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.

Role Description We are seeking AI Data Protection Architects to contribute to major projects. The Data Protection & Privacy Architect is responsible for defining, governing, and implementing the enterprise architecture required to protect personal, sensitive, and regulated data throughout its lifecycle. This senior role ensures that privacy and data protection requirements are embedded into systems, applications, cloud platforms, analytics environments, and business processes by design and by default. The architect acts as a strategic advisor to executive leadership, legal, cybersecurity, IT, and business teams, ensuring compliance with privacy regulations while enabling secure and responsible data usage. The role will be remote. Qualifications - Deep expertise in data protection and privacy-by-design principles. - Strong understanding of privacy regulations and standards: GDPR, Quebec Law 25, PIPEDA, ISO/IEC 27701. - Ability to design enterprise data protection architectures across: - Applications - Databases - Cloud platforms - Data lakes and analytics environments - Expertise in data classification, data mapping, and records of processing activities (RoPA). - Strong knowledge of data security controls: - Encryption (at rest, in transit, and in use) - Key management systems (KMS, HSM) - Tokenization, anonymization, and pseudonymization - Data Loss Prevention (DLP) - Experience architecting identity and access controls for sensitive data: - Role-Based Access Control (RBAC) - Attribute-Based Access Control (ABAC) - Privileged Access Management (PAM) - Ability to design data retention, archiving, and secure data destruction strategies. - Familiarity with cloud-native data protection and governance tools: - Azure Purview / Microsoft Purview - AWS Macie - Google Cloud DLP - Experience integrating privacy and data protection into: - SDLC and DevSecOps pipelines - Data engineering and analytics workflows - Ability to assess privacy risks in AI, machine learning, and large-scale data processing systems. - Strong understanding of logging, monitoring, auditability, and evidence collection. - Experience with privacy management and GRC platforms: OneTrust, TrustArc, ServiceNow GRC. - CIPP/E, CIPP/C, CIPM, ISO/IEC 27701 Lead Implementer / Lead Auditor, CDPSE, CISSP (an asset). Requirements - Architect privacy governance frameworks aligned with GDPR, Quebec Law 25, PIPEDA, and ISO/IEC 27701. - Define control baselines, assurance mechanisms, and compliance monitoring models. - Support executive decision-making related to privacy risk, compliance posture, and regulatory exposure. - Collaborate with legal, internal audit, and GRC teams to ensure regulatory alignment. - Architect encryption, key management, and secrets management strategies. - Define data loss prevention (DLP) architectures and monitoring mechanisms. - Ensure strong access controls and segregation of duties for sensitive data. - Lead privacy risk assessments for complex systems, cloud platforms, AI solutions, and analytics environments. - Architect solutions for data discovery, data mapping, and records of processing activities (RoPA). - Ensure privacy requirements are integrated into SDLC, DevSecOps, and data engineering pipelines. - Support privacy requirements for AI, machine learning, and advanced analytics use cases. - Ensure auditability, traceability, and accountability of data usage. - Define architectures for secure data sharing with third parties and vendors. - Establish data protection requirements for outsourcing, SaaS, and cloud providers. - Architect controls for cross-border data transfers and data residency requirements. - Support design of data breach detection, response, and notification processes. - Act as senior advisor during privacy incidents and regulatory reporting. - Ensure evidence collection and documentation meet regulatory expectations. - Act as the senior subject matter expert for data protection and privacy architecture. - Mentor privacy analysts, GRC professionals, and security architects. - Communicate privacy risks, architectural decisions, and mitigation strategies to executives and boards. - Represent the organization with regulators, auditors, and external stakeholders when required. Benefits - 4 weeks of cumulative vacation starting from day one. - Flexible working hours. - Professional Development Allowance (PDA) for training, computer equipment, and physical activities. - Training tailored to your areas of expertise. - Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary. - Modular group insurance plan. - Public transportation or parking reimbursement when required. - Referral bonuses. - 11 statutory holidays. - Personal days. - An active social life (5to7 events, social club, healthy snacks, coffee, and more).

Role Description We are seeking an AI Adoption Lead to drive the adoption, integration, and scaling of artificial intelligence across business and IT teams. This role ensures AI initiatives move beyond pilots to deliver measurable, sustained business value by embedding AI into real workflows while aligning with governance and operating-model requirements. The role will be remote. Qualifications - Bachelor’s degree in Business, Technology, Change Management, or related field - 6+ years of experience in change management, transformation, or technology adoption - Proven experience driving adoption of complex technologies in enterprise environments - Strong understanding of AI concepts and AI-enabled delivery models - Excellent communication, facilitation, and stakeholder management skills Requirements - Experience supporting AI or GenAI programs in regulated environments - Familiarity with AI governance and responsible-AI practices - Consulting or client-facing transformation experience - Experience defining adoption metrics and value realization frameworks Benefits - 4 weeks of cumulative vacation starting from day one - Flexible working hours - Professional Development Allowance (PDA) for training, computer equipment, and physical activities - Training tailored to your areas of expertise - Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary - Modular group insurance plan - Public transportation or parking reimbursement when required - Referral bonuses - 11 statutory holidays - Personal days - An active social life (5to7 events, social club, healthy snacks, coffee, and more)