AI Delivery Architect

Atos
Romania
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Python","CI/CD","LLM","Agent orchestration","MCP servers","Evaluation harnesses","Type-safe interfaces","CI integration","AI governance"]

Lead AI delivery architecture and governance for production AI systems, defining reference architectures, engineering standards, and risk assessments; translate strategy into shipped artefacts with delivery teams, leveraging Python MCP servers, typed agent boundaries, and CI workflows to ensure scalable, compliant AI solutions across Belgium delivery teams.

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FursaFursa
Atos
Atos
2 months ago

AI Delivery Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Lead AI delivery architecture and governance for production AI systems, defining reference architectures, engineering standards, and risk assessments; translate strategy into shipped artefacts with delivery teams, leveraging Python MCP servers, typed agent boundaries, and CI workflows to ensure scalable, compliant AI solutions across Belgium delivery teams.
Location: Romania
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Define and maintain AI delivery reference architectures, pattern libraries, and target-state architectures for AI engagements.
  • •Establish engineering standards for LLM applications, agent orchestration, prompt management, retrieval pipelines, model serving, observability, and lifecycle management.
  • •Work directly with delivery teams to translate strategy into shipped artefacts, including Python MCP servers, typed agent boundaries, and evaluation gates in CI.
  • •Conduct AI risk assessments covering EU AI Act classification, provider-versus-deployer determination, ISO 42001, DORA, NIS2, and GDPR alignment.
  • •Evaluate AI platforms, model providers, sovereign vendors, agent platforms, evaluation tooling, and open-source components based on fit, cost, performance, sovereignty, and risk.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent senior engineering experience
  • •8+ years in software or enterprise architecture, distributed systems, or AI/ML platform engineering
  • •3+ years of hands-on experience designing and shipping production AI/ML or generative AI systems, including LLM systems taken from prototype to production
  • •Strong hands-on engineering skills in Python, MCP servers, typed agent boundaries, evaluation harnesses, and CI integration
  • •Production experience with cloud platforms such as AWS, Azure, or Google Cloud, and at least one sovereign-EU stack such as OVHcloud, Mistral, Aleph Alpha, Scaleway, Outscale, or Polaris
Experience:AIEnterprise AILLMMLOps
Education:Bachelor's
Skills:PythonCI/CDLLMAgent orchestrationMCP serversEvaluation harnessesType-safe interfacesCI integrationAI governance
Tech Stack:PythonMCP serversFastAPICI/CDKubernetesDockerAWSAzureGCPDatabricksSnowflakePolarisOvertheorized

Company Brief

Atos
Global digital services and consulting firm delivering cloud, cybersecurity, big data, digital workplace, and managed services to enterprise and public sector clients. Provides IT transformation, systems integration, and outsourcing solutions worldwide.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bezons, France
Founded: 1997
WebsiteLinkedIn