{"id":162661,"url":"https://alion.io/job/levio-ai-solution-architect","title":"AI Solution Architect","company":{"id":58180,"name":"Levio","domain":"levio.ca","url":"https://alion.io/company/levio","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":42,"ghost_share":0.262,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":171,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":200000,"currency":"CAD","period":"year","gross":null,"usd_annual":140693},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"AI Agents","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-05-15T15:01:57Z","employer_posted_date":"2026-07-10","last_verified_at":"2026-10-18T03:05:20Z","board_verified":true,"closed_at":null,"days_open":155,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":155},"description":"Are you looking to thrive in a stimulating work environment? \nJoin Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement - and we give you the space to grow. \nAbout the Role\nWe are seeking 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. \nWhy Join Levio? \nWork on complex, high impact digital transformation projects \nCollaboratewithexperienced, multidisciplinaryteams \nContinuously develop your technical and professional expertise \nEnjoy flexibility, autonomy, and a strong people first culture \nBe part of an organization that values diversity, inclusion, and innovation \nRole and Responsibilities\nLead end-to-end architecture of AI and generative AI solutions from use-case definition through production\nDesign cloud-native AI architectures leveraging modern data, ML, and LLM platforms\nDefine reference architectures, patterns, and best practices for enterprise AI adoption\nEvaluate and select AI platforms, foundation models, and tools based on value, risk, and cost considerations\nPartner with business and executive stakeholders to identify high-value AI opportunities\nTranslate business requirements into clear solution designs, trade-offs, and roadmaps\nArchitect AI solutions using AWS Bedrock and AWS SageMaker\nEnsure alignment with cloud governance, security, privacy, and compliance standards\nProvide architectural oversight, design reviews, and mentorship to delivery teams\nEmbed responsible AI, risk management, monitoring, and lifecycle practices into designs\nQualifications and Experience\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related field\n8+ years of experience in solution architecture or senior technical roles, including 4+ years delivering AI/ML solutions\nStrong understanding of machine learning, generative AI, and LLM-based architectures\nProven experience architecting AI solutions on AWS, including AWS SageMaker and AWS Bedrock\nDeep knowledge of cloud architecture, APIs, microservices, and event-driven systems\nAbility to balance technical depth with business, risk, and regulatory considerations\nPreferred Qualifications\nExperience with LLM platforms, RAG architectures, and AI agent systems\nFamiliarity with MLOps, model monitoring, and AI lifecycle management\nExperience in regulated or enterprise environments\nConsulting or client-facing solution architecture experience\nCompensation (Ontario) \nThe 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. \nEstimated salary range: $150,000 to $200,000 per year. \nThis posting is a current hiring need.\nBenefits and Work Environment \nLevio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including: \n4 weeks of cumulative vacation starting from day one \nFlexible workinghours \nProfessional Development Allowance (PDA) for training, computer equipment, and physical activities \nTraining tailored to your areas of expertise \nRegistered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary \nModular group insurance plan \nPublic transportation or parking reimbursement when required \nReferralbonuses \n11 statutoryholidays \nPersonaldays \nAn active social life (5to7 events, social club, healthy snacks, coffee, and more) \nPosition Details\nEmployment type: Full time, permanent\nNotice on the Use of Artificial Intelligence in Recruitment \nWe 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. \nEmployment Equity \nLevio 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. \nWe value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. 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