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

Solid 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 contemporary 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 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

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