Why Keyrus, Why Now!
Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.
AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills—you will develop judgment. Your expertise sharpens with every AI strategy you define, every architecture you design, and every executive decision you help shape.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges business strategy, data, AI, and human decision-making at scale. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
What You'll Architect
As 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 × feasibility × 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 Bring
Qualifications / 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
Contract: Full-time
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
What We Stand For
Collective Intelligence — Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges.
Reliability — The ability to deliver complex projects with rigour is one of the pillars of our client relationship.
Pragmatism — Prioritising concrete impact and measurable value over abstract technological discourse.
Entrepreneurial Spirit — Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation.
ABOUT KEYRUS
At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence.
Powered by our proprietary Human Orchestrated Model (HOM), we architect reliable:
To create intelligent environments where technology amplifies human capabilities and performance compounds over time.
With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations.
AI does not transform businesses. Architected intelligence does.
Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP).
For more information: www.keyrus.com
