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Scalian

Engineering and consulting in AI avionics

Expert Principal in Systems Engineering / MBSE & AI

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeNeuilly-sur-Seine, France€80k - €100k /yr

About the Job

Requirements

  • A degree from an engineering school or a Master's (Bac+5) in systems engineering, software, electronics, automation, industrial computing, or a related field.
  • At least 10 years of experience in complex systems engineering, with recognized expertise in systems architecture, requirements management, Model-Based Systems Engineering, and Integration, Verification, Validation and Qualification.
  • Mastery of the systems lifecycle, functional analysis, architecture, configuration management, and the V-model.
  • Significant experience with Model-Based Systems Engineering approaches and SysML modeling.
  • Practical experience with tools such as Capella, CATIA Magic, DOORS, Polarion, or equivalent.
  • Good understanding of large language models, natural language processing, retrieval-augmented generation, and knowledge graphs.
  • Experience integrating artificial intelligence into engineering processes or toolchains.
  • Awareness of evaluation, traceability, explainability, and governance issues for artificial intelligence solutions.
  • Ability to turn a strategic vision into an operational roadmap.
  • Experience developing demonstrators, accelerators, or reusable assets.
  • Ability to engage with technical experts, Data/AI teams, decision-makers, and clients.
  • Recognized leadership, a strong results orientation, and a focus on industrialization.

Responsibilities

  • Define the vision, guiding principles, and roadmap for systems engineering and Model-Based Systems Engineering augmented by artificial intelligence.
  • Identify and prioritize high-value use cases, accounting for data maturity, technical constraints, and risks.
  • Design functional and technical architectures linking Model-Based Systems Engineering, Application Lifecycle Management, Product Lifecycle Management, simulation, testing, and configuration management environments with artificial intelligence technologies.
  • Lead development of demonstrators, reusable accelerators, and industrial assets.
  • Define traceable and explainable artificial intelligence approaches compatible with critical-system requirements.
  • Build an industrializable service offering and support presales activities and initial client deployments.
  • Contribute to technology direction and investment, partnership, or acquisition decisions in artificial intelligence applied to engineering.
  • Bring together a community of experts across systems engineering, software, Data/AI, simulation, and Integration, Verification, Validation and Qualification.
  • Develop a prioritized map of artificial intelligence use cases for systems engineering during the first year.
  • Develop a reference architecture for engineering augmented by artificial intelligence during the first year.
  • Deliver a demonstrator connected to a complete engineering toolchain during the first year.
  • Deliver an initial reusable industrial accelerator during the first year.
  • Develop a methodology for evaluating benefits, risks, and performance during the first year.
  • Develop a marketable offering and deployment strategy during the first year.
  • Provide technology and partnership recommendations to support business growth during the first year.

Desired Qualifications

  • Experience in aerospace, space, defense, rail, automotive, or energy sectors.
  • In-depth knowledge of critical and regulated environments.
  • Experience transforming engineering processes digitally.
  • Contribution to innovation initiatives or the development of technology offerings.

About the Company

Scalian

Engineering and consulting in AI avionics

Scalian Group provides engineering and consulting services to multiple industries, with a focus on AI, avionics, and information systems security. It helps clients by offering tailored solutions built from consulting, managed security services, and software offerings. The company works by combining advisory work, implementation support, and ongoing security and software management to meet each client’s specific needs. What sets Scalian apart is its emphasis on an agile approach and its deep, industry-specific expertise in aerospace and security, enabling rapid adaptation and high-performance results for global industrial leaders. The company aims to deliver precise, reliable solutions that improve performance, security, and efficiency for its clients.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$612.7M
Headquarters
Labège, France
Founded
1989

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