Technical Solutions Consultant fixing Oracle SQL and PL/SQL issues for MCSL’s higher - education reporting software clients. Delivering custom development and client - facing technical solutions remotely across Canada.
About the role
- AI Solution Architect designing enterprise-grade AI and generative AI solutions for Levio, a digital transformation leader. Leading AWS-based architectures, governance, and delivery from use case to production.
Responsibilities
- Define, design, and lead the delivery of enterprise-grade AI and generative AI solutions
- 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
Requirements
- 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
- 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
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)
- Flexibility, autonomy, and a strong people first culture
- Diversity, inclusion, and innovation-focused work environment
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