Manager – GenAI Strategy & Architecture

About the role

Artefact, a strategy and data consulting firm with 1,800+ consultants across 23 countries, is looking for a Manager to lead strategy and architecture projects focused on GenAI solutions. The role owns the end-to-end design of architectures and solutions, balancing business value, technology choices and economics, and leads development teams while presenting solutions to C-level stakeholders.

Key responsibilities

• Lead GenAI strategy and architecture projects from scoping and business case through solution design and rollout oversight, owning plans, budgets, risks and quality
• Shape proposals, estimates and demos and identify follow-on opportunities with clients
• Design GenAI architectures and solutions such as RAG, agentic systems, multi-agent orchestration, MCP and A2A integration, copilots and assistants, using cloud-native AI services and custom components
• Apply GenAI to support functions such as HR, Procurement, Legal, Finance and IT, redesigning processes and operating models
• Make trade-off recommendations across make, buy and customization, capex versus opex, and on lock-in, performance, latency, scalability, security and compliance
• Guide development teams technically, present to C-level audiences, run independent workshops and coach consultants and architects

Required profile

• At least 8 years of professional experience in IT, including at least 3 years on AI/GenAI architecture and solution design projects
• Prior hands-on background as an engineer or developer
• Proven experience applying GenAI to support functions, and consulting experience, ideally in strategy consulting, combined with experience at a system integrator or delivery firm
• Track record of managing projects and leading development teams, and presenting to C-level stakeholders
• Excellent written and spoken English; German not strictly required

Required skills

• GenAI architectures: RAG, agentic and multi-agent patterns, LLMOps, model evaluation, guardrails and responsible AI
• Agent protocols and copilots: MCP, A2A, Microsoft Copilot and Copilot Studio
• Cloud AI platforms: Azure AI Foundry, Vertex AI, Bedrock, Databricks, and native AI services of Azure, AWS and GCP
• Agile methods, programme governance, business cases and value tracking
• Nice to have: cloud or AI certifications (e.g. Azure AI Engineer, Azure Solutions Architect, AWS Machine Learning)

What we offer

• A leadership role bridging strategy, architecture and GenAI delivery, with international projects
• Growth path towards senior programme and practice leadership roles
• Hybrid work in Zurich or Lausanne, with highly competitive compensation