Architecte de solutions marketing chez GHD, concevant des solutions mondiales d’IA, d’automatisation et de données. Modernisation des processus marketing et accompagnement de l’adoption à grande échelle.
About the role
- Senior AI Strategist defining AI strategy and transformation roadmaps for clients at Keyrus. Leading discovery, assessment, and governance while mentoring engineers in AI advisory.
Responsibilities
- Lead structured discovery across departments, facilitate workshops and interviews with executives, managers and the people who do the work to map workflows and surface pains; baseline AI maturity across six dimensions (strategy, architecture & tooling, literacy, competences, organization & processes, security & compliance); benchmark it and translate the gaps into prioritized, practical recommendations.
- Turn a wide field of opportunities into a confident shortlist, score and sequence use cases on value × feasibility × complexity with a transparent, weight-adjustable model, build express value hypotheses (benefit, effort, directional value) that make very different initiatives comparable, and consolidate them into a sequenced, multi-horizon roadmap leadership can fund with confidence.
- Bring technical judgment to what's real, screen technical and data feasibility, design target-state architectures for agentic and generative AI (multi-agent workflows, RAG pipelines, tool/function calling, memory and state, guardrails, human-in-the-loop), and tag each opportunity to the best-fit tool the client already owns (separating "do this with current tools now" from "this needs new capability later" so spend is sequenced and justified.)
- Draft right-sized governance, responsible-AI, operating-model and adoption recommendations that scale control with criticality, and communicate the whole story through clear trade-off analyses and executive readouts that land equally well with engineers and the board.
- Contribute to pre-sales and solutioning, mentor consultants and engineers, define best practices, and keep pace with a fast-moving field (new models, frameworks, MCP, agent protocols, governance regimes) — bringing well-judged ideas back to clients and teams.
Requirements
- Degree in Computer Science, Engineering, Data Science, or related field (or equivalent professional experience)
- 7+ years in AI / data / software (with at least 2 year of experience with AI), including hands-on experience taking generative or agentic AI from idea toward production; consulting or client-facing experience is highly valued.
- Hands-on experience building AI agents and generative-AI systems, multi-agent workflows, RAG pipelines, tool/function calling and guardrails — with an orchestration framework (e.g., LangChain / LangGraph or equivalent).
- Hands-on experience with Anthropic Claude and Microsoft Copilot, using and optimizing both in real workflows (Claude Skills / Projects / MCP; Copilot / Copilot Studio), with a clear point of view on where each is the better tool by use case.
- Hands-on experience with at least one major cloud AI platform, e.g., AWS / Amazon Bedrock (foundation models, agents, guardrails) or Azure OpenAI, and the surrounding stack.
- Solid grasp of RAG (embeddings, chunking, hybrid/semantic search, reranking, evaluation, vector databases) and a clear sense of where it does and does not fit.
- Proven ability to lead discovery and assessment, facilitating executive workshops and interviews, mapping workflows, and capturing opportunities in a structured, comparable way.
- Strong command of AI strategy and prioritization, building value hypotheses / business cases and using value × feasibility scoring to make defensible "what first" decisions.
- Strong Python and software-engineering fundamentals (APIs, services, version control, testing), enough to judge feasibility, effort and architecture credibly.
- Proven ability to evaluate platforms objectively and justify architecture and investment decisions to both technical and business audiences.
- A consulting mindset: curiosity, ownership, structured communication, executive presence, and a collaborative, teamwork-first attitude.
Benefits
- A stimulating environment where you will be able to surpass yourself and discover new horizons
- A strong culture of innovation and entrepreneurship
- Many occasions to celebrate your success : 5 @ 7, team activities, birthdays, breakfasts and other special events
- Group insurance for you and your family members
- RRSP and DPSP participation plan
- Monthly Wellness Allowance
- Reimbursement of telecommunication costs
- Flexible work from home policy
- 4 weeks of paid vacation
- Language courses (French & English)
- Access to continuing education (in-house, conferences, events, courses, certifications, etc.)
- Development plan for each employee and coaching
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