Location

Hybrid – Toronto or Montreal, Canada (2 days per week at the office)

Contract

Permanent, Full-time

What You'll Architect

- 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

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

What We Offer At Keyrus

- A stimulating environment where you will be able to surpass yourself and discover current 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

Compensation

The expected base compensation for this position ranges from $115,000 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.

#J-18808-Ljbffr

📌 Senior Consultant - AI Strategist / Solution Architect (Toronto)
🏢 Keyrus
📍 Toronto