Solutions Architecture Advisor collaborating with stakeholders on projects such as cloud migrations and system implementations. Engage in technical leadership and support across multiple business sectors.
About the role
- Senior Consultant - AI Strategist / Solution Architect at Keyrus, architecting AI strategies for scalable and measurable intelligent systems.
Responsibilities
- Architect enterprise AI strategies that transform business workflows into scalable, governed, and measurable intelligent systems
- 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
Requirements
- 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
- 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
Benefits
- 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
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