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Sopra Steria

IT consulting, digital services, and transformation

Artificial Intelligence Security Architect - Cybersecurity

Security Engineering & Architecture +1Confirmed live in the last 24 hours
Full-timeCourbevoie, FranceNo salary listed

About the Job

Requirements

  • A graduate of a computer-engineering school or equivalent is required.
  • At least 10 years of cybersecurity experience, particularly in architecture, is required.
  • Mastery of modern artificial intelligence architectures is required, including traditional machine learning, large language models and retrieval-augmented generation, agentic systems, cloud platforms such as Amazon Web Services, Azure, and Google Cloud Platform, and machine-learning operations tools such as MLflow and Kubeflow.
  • Knowledge of solutions usable in a sovereign artificial intelligence system, such as Mistral and OVH, is required.
  • In-depth knowledge of artificial intelligence security frameworks is required, including MITRE ATLAS, OWASP Top 10 for Large Language Model Applications, and NIST AI Risk Management Framework, as well as risk analysis methodologies including EBIOS Risk Manager and ISO 27005/42001.
  • Technical skills in artificial intelligence threat modeling, artificial intelligence red teaming and adversarial penetration testing, and threat intelligence tools such as MISP and OpenCTI are required.
  • Bilingual English communication ability is required to explain technical topics to C-level decision-makers.
  • Analytical thinking, autonomy, curiosity, and active monitoring of emerging artificial intelligence threats are required.

Responsibilities

  • Design target architectures for traditional machine learning, generative artificial intelligence—including large language models, retrieval-augmented generation, and copilots—and agentic artificial intelligence systems, ensuring security and alignment with business needs and regulatory constraints.
  • Define and deploy industrialization pipelines for machine-learning operations and large-language-model operations, including continuous integration, model monitoring, lifecycle management such as versioning, retraining, and decommissioning, and tooling to secure artificial intelligence models.
  • Contribute to solution selection—including artificial intelligence cloud services, large-language-model platforms, orchestration frameworks, artificial intelligence security posture management, guardrails, and data or model leakage protection—and validate approaches through proofs of concept or value.
  • Review artificial intelligence system architectures and present recommendations to technical committees and senior stakeholders, including C-level leaders.
  • Assess artificial intelligence-specific security needs and define requirements for availability, integrity, confidentiality, evidence, and traceability, applying these principles to data and models.
  • Identify, map, and anticipate threats targeting large-language-model and agentic systems, including prompt injection, data poisoning, model exfiltration, evasion, and jailbreaks, using MITRE ATLAS and MITRE ATT&CK frameworks.
  • Integrate security and privacy by design into specifications, backlogs, and machine-learning-operations pipelines from the design phase.
  • Lead artificial intelligence-related vulnerability and risk work, including artificial intelligence red teaming and adversarial penetration tests, and support remediation with security operations center and computer emergency response team groups.
  • Prepare reports on artificial intelligence threats, including adversary tactics, techniques, and procedures and trends, for technical analysts and decision-makers.
  • Conduct risk analyses on artificial intelligence use cases using methodologies such as EBIOS Risk Manager, NIST AI Risk Management Framework, ISO/IEC 42001, and ISO 27005, incorporating business, technical, ethical, and regulatory risks, including the General Data Protection Regulation and European Artificial Intelligence Act.
  • Document and maintain artificial intelligence risk maps, define treatment plans, and track remediation with governance, risk, and compliance teams.
  • Serve as the artificial intelligence and security point of reference for project teams, promote good practices, and contribute to building team capabilities.
  • Contribute to presales activities, proposal development, and positioning the company in the trusted artificial intelligence market.

About the Company

Sopra Steria

IT consulting, digital services, and transformation

Sopra Steria provides consulting, digital services and solutions to help large organizations transform their business through technology. Its offerings cover strategy, systems integration, cloud, cyber security, software development, and managed services, designed to be delivered end to end—from assessing needs and designing a plan to implementing and operating IT systems. The company combines deep knowledge of many industries with a collaborative approach to tailor projects to each client and to deliver measurable, sustainable improvements in performance. Differentiators include its European scale (about 51,000 employees across roughly 30 countries), broad scope—from strategy to operation—and emphasis on practical outcomes that help clients stay competitive. The group’s goal is to put digital to work for its clients in a way that creates a positive, more productive future for all stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1968

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