Senior Consultant – AI Strategist, Solution Architect

Role Overview

• 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

Tech Stack

• AWS
• Azure
• Cloud
• Python

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