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 

• 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 and Experience 

• 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. 

This posting is a current hiring need.

Benefits and Work Environment  

Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including:  

• 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.