Atos

1 month ago

AI Delivery Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 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

Website LinkedIn

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Atos

1 month ago

AI Delivery Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn