What You'll ArchitectAs a
Senior AI Strategist / Solution Architect, you will architect enterprise AI strategies that transform business workflows into scalable, governed, and measurable intelligent systems. You will combine executive advisory, technical architecture, and consulting leadership to help organizations move confidently from experimentation to operational AI adoption.
- Lead enterprise AI discovery initiatives through executive workshops, stakeholder interviews, and cross-functional assessments that uncover high-value opportunities
- Architect AI maturity assessments across strategy, architecture, tooling, literacy, governance, organizational readiness, security, and compliance
- Prioritize and sequence AI initiatives using structured value x feasibility x complexity frameworks that create fundable, multi-horizon transformation roadmaps
- Design target-state architectures for Agentic AI and Generative AI solutions, including multi-agent workflows, RAG pipelines, tool/function calling, memory management, guardrails, and human-in-the-loop orchestration
- Evaluate technical feasibility and align each opportunity with the most appropriate technologies already available within the client's ecosystem
- Develop AI governance models, Responsible AI frameworks, and operating models that balance innovation, adoption, and enterprise control
- Translate complex architectural decisions into executive narratives that enable confident business investment and organizational alignment
- Contribute to pre-sales engagements, strategic solutioning, and AI advisory initiatives across North America
- Mentor consultants and engineers while defining reusable methodologies, architectural standards, and best practices for the AI Advisory practice
- Continuously evaluate emerging models, frameworks, MCP capabilities, agent protocols, and governance trends, bringing practical innovation back to clients and internal teams
🧠 Who You Are- You see AI strategy as an organizational capability rather than a technology implementation
- You naturally move between executive conversations and technical architecture discussions with clarity and credibility
- You enjoy transforming ambiguity into structured roadmaps, governance models, and actionable priorities
- You evaluate platforms objectively, balancing business value, technical feasibility, governance, and long-term sustainability
- You combine curiosity with disciplined judgment, helping organizations adopt AI responsibly and pragmatically
- You thrive in consultative environments where facilitation, influence, and strategic thinking are as important as technical expertise
- You enjoy mentoring others and contributing to the growth of a world-class AI advisory practice
🛠 What You BringQualifications / Certifications- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field (or equivalent professional experience)
- 7+ years of experience in AI, Data, Software Engineering, or Solution Architecture, including at least 2 years working with Generative AI or Agentic AI initiatives
- Proven consulting or client-facing experience leading strategic technology transformations
- AWS AI/ML, AWS Solutions Architect, Salesforce Agentforce, Microsoft AI, Azure AI, or equivalent certifications are considered an asset
Technical Skills- Hands-on experience designing and implementing AI agents, multi-agent systems, RAG architectures, tool/function calling, guardrails, and orchestration frameworks such as LangChain, LangGraph, or equivalent
- Practical expertise using Anthropic Claude and Microsoft Copilot ecosystems, including Claude Projects, Claude Skills, MCP, Copilot, and Copilot Studio
- Experience with enterprise AI platforms such as AWS Bedrock, Azure OpenAI, or equivalent cloud-native AI services
- Strong understanding of Retrieval-Augmented Generation (RAG), including embeddings, chunking strategies, semantic and hybrid search, reranking, vector databases, and evaluation methodologies
- Experience leading AI discovery sessions, executive workshops, business process assessments, and structured opportunity mapping
- Ability to build AI strategies, business cases, value hypotheses, and prioritization frameworks that support executive decision-making
- Strong Python development skills and software engineering fundamentals, including APIs, services, testing, and version control
- Proven ability to evaluate AI platforms objectively and design architectures that balance technical excellence with measurable business value
Nice-to-haves- Experience designing enterprise AI governance frameworks, Responsible AI programs, and AI operating models (CoE / Core + Edge)
- Familiarity with AI maturity assessment methodologies and benchmarking frameworks
- Experience comparing and integrating multiple agent platforms within unified enterprise architectures
- Knowledge of regulatory and privacy frameworks such as GDPR and the EU AI Act
- Exposure to React or modern frontend frameworks for AI copilots and interactive demonstrations
- Experience mentoring engineers or scaling AI consulting practices
What Makes You Successful- Exceptional communication skills, with the ability to facilitate executive workshops and influence both technical and business audiences
- Comfortable translating AI complexity into clear roadmaps, investment strategies, and business priorities
- Brings a consultative mindset that balances innovation, governance, and measurable business outcomes
- Demonstrates executive presence while collaborating effectively with architects, engineers, product leaders, and C-level stakeholders
- Combines structured thinking with technical credibility to guide enterprise AI transformation initiatives
- Builds trust through thoughtful facilitation, pragmatic decision-making, and a relentless focus on long-term client success
Role Details📍
Location: Hybrid - Toronto or Montreal, Canada
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Contract: Full-time
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Work Model: Hybrid (2 days per week on-site)
Level: Senior / Solution Architect
The expected base compensation for this position ranges from $110,000 to $130,000 CAD, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate.
Rewards - What We Offer at Keyrus- A stimulating environment where you will be able to surpass yourself and discover new horizons
- A strong culture of innovation and entrepreneurship
- Team celebrations, social events, birthdays, breakfasts, and special activities
- Group insurance for you and your family members
- RRSP and DPSP participation plans
- Monthly Wellness Allowance
- Telecommunication reimbursement
- Flexible work-from-home policy
- 4 weeks of paid vacation
- Language courses (French & English)
- Access to continuous learning through conferences, certifications, training programs, and industry events
- Individual development plans and coaching opportunities
