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Artefact

Data and AI-driven business transformation consulting

Lead Software Engineer

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeParis, FranceIn-person

About the Job

Requirements

  • Confirmed experience as a Lead, Engineering Manager, or Senior Architect, with prior technical-team supervision and strategic project leadership.
  • Strong technical problem-solving skills and the ability to translate complex business challenges into durable technical architectures.
  • A supportive, pedagogical leadership approach; ability to develop talent, give constructive feedback, and facilitate a team.
  • Demonstrated expertise in at least one of Analytics Engineering, Software Development, Site Reliability Engineering, Cloud Architecture, or AI Engineering.
  • Advanced proficiency in Python, FastAPI, dbt, LangGraph, Docker, Terraform, Google Cloud Platform, Amazon Web Services, Azure, Snowflake, and Kubernetes.

Responsibilities

  • Lead and supervise complex Data and AI project delivery, such as multi-agent LangGraph solutions on Kubernetes and Medallion architectures.
  • Oversee scoping and development of robust data platforms on Google Cloud Platform, Amazon Web Services, Azure, or Snowflake, ensuring alignment with Infrastructure as Code and software engineering best practices.
  • Define the technical vision for Generative AI and large language model projects, including orchestration, evaluation, and control, and promote daily use of coding agents across teams.
  • Manage the careers and performance of Software Engineers under the role’s responsibility and provide ongoing mentoring.
  • Lead technical scoping with enterprise clients and explain strategic and architectural choices clearly.
  • Ensure code quality, security, and deliverable standards across assigned application areas.
  • Actively contribute to the technical community through tech talks, guilds, and experience-sharing, and participate in recruitment and capability development.
  • Supervise the design and deployment of critical architectures, including data and agentic platforms, while supporting team development and technical excellence.
  • Build client relationships and contribute to technical scoping of engagements.

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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