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Artefact

Data and AI-driven business transformation consulting

Manager GenAI Strategy & Architecture

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 8 years of professional experience in IT.
  • At least 3 years of experience on AI/GenAI architecture and solution design projects.
  • Prior hands-on experience as an engineer or developer.
  • Proven experience applying GenAI to support functions such as HR, Procurement, Legal, Finance, or IT.
  • Consulting experience, ideally in strategy consulting, combined with experience at a system integrator or delivery firm.
  • A 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.
  • Knowledge of GenAI architectures, including RAG, agentic and multi-agent patterns, LLMOps, model evaluation, guardrails, and responsible AI.
  • Knowledge of agent protocols and copilots, including MCP, A2A, Microsoft Copilot and Copilot Studio, custom assistants, and their integration with enterprise systems.
  • Knowledge of cloud AI platforms, including Azure AI Foundry, Vertex AI, Bedrock, Databricks, and native data and AI services from Azure, AWS, and GCP.
  • Knowledge of architecture trade-offs, including make versus buy versus customize, capex versus opex, total cost of ownership, vendor lock-in, performance, latency, scalability, security, and compliance.
  • Knowledge of processes and operating models in HR, Procurement, Legal, Finance, and IT, and how GenAI changes them.
  • Knowledge of delivery leadership, including agile methods, technical team guidance, solution review, and programme governance.
  • Ability to develop business cases, track value, and translate technical choices into economic impact for executives.

Responsibilities

  • Lead GenAI strategy and architecture projects from scoping and business case through solution design and rollout oversight.
  • Own project plans, budgets, risks, and quality, ensuring delivery against client objectives.
  • Shape proposals, estimates, and demos, and identify follow-on opportunities with clients.
  • Design GenAI architectures and solutions, including RAG, agentic systems, multi-agent orchestration, MCP and A2A integration, copilots, and assistants.
  • Select and combine cloud-native AI services, including Azure AI Foundry, Copilot Studio, Vertex AI, Bedrock, and Databricks, with third-party and custom components.
  • Apply GenAI to support functions such as HR, Procurement, Legal, Finance, and IT by redesigning processes and operating models around the solutions.
  • Orchestrate decisions across make, buy, and customization options, weighing capex against opex and total cost of ownership.
  • Assess how tool and architecture choices affect vendor lock-in, performance, latency, scalability, security, and compliance.
  • Translate trade-offs into clear recommendations for business and IT leaders.
  • Guide development teams technically by setting architecture, reviewing solutions, and unblocking delivery.
  • Present solutions and recommendations to C-level audiences.
  • Run technical and strategic workshops independently, from discovery through design and prioritization.
  • Coach and develop consultants and architects on the team.

Desired Qualifications

  • German is nice to have but is not required.
  • Cloud or AI certifications, such as Azure AI Engineer, Azure Solutions Architect, or AWS Machine Learning.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1998

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