AI Solution Architect

atLevioRemoteCA flagCanadaFull-timeSolutions EngineerSeniorLeadC$150k – C$200k/year

Posted Oct 30

This is a fully remote position, open to applicants in Canada.

📋 Description

• Define, design, and oversee the implementation of enterprise-level AI and generative AI solutions.

• Lead the comprehensive architecture of AI and generative AI solutions from use-case identification to production deployment.

• Create cloud-native AI architectures utilizing modern data, machine learning, and large language model platforms.

• Establish reference architectures, design patterns, and best practices for the adoption of enterprise AI.

• Assess and choose AI platforms, foundational models, and tools based on value, risk, and cost factors.

• Collaborate with business and executive stakeholders to pinpoint high-value AI opportunities.

• Convert business requirements into precise solution designs, trade-offs, and strategic roadmaps.

• Design AI solutions utilizing AWS Bedrock and AWS SageMaker.

• Ensure compliance with cloud governance, security, privacy, and regulatory standards.

• Provide architectural guidance, conduct design reviews, and mentor delivery teams.

• Integrate responsible AI, risk management, monitoring, and lifecycle practices into architectural designs.


⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.

• Over 8 years of experience in solution architecture or senior technical positions, including 4+ years in delivering AI/ML solutions.

• Strong grasp of machine learning, generative AI, and architectures based on large language models.

• Demonstrated experience in architecting AI solutions on AWS, particularly with AWS SageMaker and AWS Bedrock.

• Extensive knowledge of cloud architecture, APIs, microservices, and event-driven systems.

• Capability to balance technical depth with business, risk, and regulatory factors.

• Experience with large language model platforms, retrieval-augmented generation architectures, and AI agent systems.

• Familiarity with MLOps, model monitoring, and AI lifecycle management.

• Experience in regulated or enterprise-level environments.

• Consulting or client-facing experience in solution architecture.


🏝️ Benefits

• 4 weeks of cumulative vacation beginning on the first day.

• Flexible working hours.

• Professional Development Allowance (PDA) for training, computer equipment, and physical activities.

• Training customized to your areas of expertise.

• Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary.

• Modular group insurance plan.

• Reimbursement for public transportation or parking when necessary.

• Referral bonuses.

• 11 statutory holidays.

• Personal days.

• A vibrant social atmosphere (5to7 events, social club, healthy snacks, coffee, and more).

• Flexibility, autonomy, and a strong people-first culture.

• A work environment focused on diversity, inclusion, and innovation.

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