Manager – GenAI Strategy & Architecture

The role

This Manager leads strategy and architecture projects focused on GenAI solutions. You will design architectures, lead development teams, and present solutions to C-level stakeholders.

What you will do

• Lead strategy and architecture projects on GenAI from scoping to rollout oversight.
• Own project plans, budgets, risks and quality.
• Shape proposals, estimates and demos and identify follow-on opportunities.
• Design GenAI architectures including RAG, agentic systems, multi-agent orchestration, MCP and A2A integration, copilots and assistants.
• Select and combine cloud-native AI services with third-party and custom components.
• Apply GenAI to support functions like HR, Procurement, Legal, Finance and IT.
• Orchestrate decisions across make, buy and customization options.
• Assess the impact of tool and architecture choices on vendor lock-in, performance, latency, scalability, security and compliance.
• Guide development teams technically and review solutions.
• Present solutions to C-level audiences and run technical and strategic workshops.

Required qualifications

• At least 8 years of professional experience in IT.
• 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 (HR, Procurement, Legal, Finance or IT).
• Consulting experience, ideally in strategy consulting, combined with experience at a system integrator or delivery firm.
• Track record of managing projects and leading teams, including development teams.
• Experience presenting to C-level stakeholders and running workshops independently.
• Excellent written and spoken English.
• 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, custom assistants and their integration with enterprise systems.
• Cloud AI platforms: Azure AI Foundry, Vertex AI, Bedrock, Databricks and the native data and AI services of Azure, AWS and GCP.
• Architecture trade-offs: make vs buy vs customize, capex vs opex, TCO, lock-in, performance, latency, scalability, security and compliance.

Nice to have

• German not strictly required.
• Cloud or AI certifications (e.g. Azure AI Engineer, Azure Solutions Architect, AWS Machine Learning).

Benefits

• Leadership role bridging strategy, architecture and GenAI delivery.
• International projects on GenAI, agentic systems and support function transformation.
• A growth path towards senior programme and practice leadership roles.
• Highly competitive compensation package.

About the company

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. They have 1,800+ consultants, data scientists, and engineers across 23 countries.