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Scalian

Engineering and consulting in AI avionics

Architecte Data / IA - Services Financiers CDI, f/h, Lyon

Data ManagementPosted on Nov 9
Full-timeLyon, FranceNo salary listedHybrid

About the Job

Requirements

  • 10 to 15 years of experience, including at least 5 years in Data/AI architecture in financial services.
  • Significant experience delivering at least two Data/AI projects into production in financial services.
  • Engineering education, business-school education with strong technical specialization, or equivalent university-level Bac+5 education.
  • Mastery of Data/AI architectures in regulated environments and of explainability, traceability, and robustness requirements.
  • Good understanding of banking, insurance, or asset-management business domains.
  • Ability to contribute to presales and solutioning, then lead architecture during delivery of complex projects.
  • Ability to structure an industrialization approach, including prerequisites, phases, deliverables, risks, estimation, and deployment roadmap.
  • Ability to engage with decision-makers, business teams, Data/AI teams, cloud teams, and delivery teams.
  • Ability to formalize patterns, develop practice assets, and equip teams.

Responsibilities

  • Define Data/AI architectures for data mesh, feature stores, MLOps platforms, scoring, pricing, and generative AI for augmented advisors.
  • Industrialize solutions while ensuring scalability, performance, resilience, and cost control.
  • Translate requirements from the AI Act, DORA, ACPR, GDPR, Basel, and Solvency regulations into design choices.
  • Ensure model explainability, traceability, robustness, and bias control.
  • Integrate business constraints in risk, compliance, anti-fraud, KYC/AML, marketing, customer relations, actuarial work, and trading.
  • Capture reusable patterns and develop reusable components for scoring, pricing, and anti-fraud.
  • Contribute to commercial proposals and client scoping.
  • Develop the offering, establish initial references, and provide delivery expertise to clients.

Desired Qualifications

  • Experience with Databricks or Snowflake, Delta Lake, Kafka, Airflow, and Spark.
  • Experience with MLflow, Vertex AI or SageMaker, feature stores such as Tecton or Feast, and Hugging Face.
  • Experience with LangChain, LlamaIndex, retrieval-augmented generation (RAG) architectures, and fine-tuning.
  • Experience with AWS, Azure, or Google Cloud Platform, and sovereign or private cloud such as OVHcloud, Outscale, or S3NS.
  • Experience with Kubernetes, Docker, and Terraform.
  • Proficiency in Python and SQL.
  • Knowledge of financial-services topics including scoring, pricing, fraud, KYC/AML, risk, compliance, actuarial work, trading, and customer relations.

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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