AI Architect & Infrastructure (Cloud Solution), AI4ALL
Valeo is hiring an AI Architect & Infrastructure (Cloud Solution), AI4ALL in Cairo, Egypt. Level rates it ; you can apply on Valeo.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include LangGraph, AutoGen and Vertex AI.
- Level classifies it as a senior role.
- Level lists 1,000+ other open roles at Valeo.
AI in this role
Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
Key Responsibilities:
- Define and maintain cloud architecture for AI4ALL platforms and applications.
- Design secure, scalable, highly available, and cost-efficient infrastructure for AI solutions on GCP.
- Support hybrid and cross-cloud integration with other cloud platforms when needed.
- Establish reusable cloud patterns, standards, and reference architectures.
- Define and govern Infrastructure as Code practices, preferably using Terraform.
- Build CI/CD pipelines and GitHub Actions workflows for development teams.
- Implement automated testing, code-quality checks, security scanning, and deployment automation.
- Work with cybersecurity teams on IAM, networking, secrets management, compliance, and cloud governance.
- Design infrastructure supporting AI, data, and generative-AI workloads.
- Define standards for monitoring, logging, resilience, disaster recovery, and cost optimization.
- Lead architecture reviews, mentor engineers, and collaborate with cross-functional Agile teams.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 9+ years of experience in cloud engineering, infrastructure, DevOps, platform engineering, or solution architecture.
- Strong hands-on experience with Google Cloud Platform.
- Experience working with hybrid or cross-cloud environments, such as AWS or Microsoft Azure.
- Hands-on experience working with agentic frameworks and AI orchestration tools (e.g., LangGraph, Google GenAI SDK/Agent Builder, Google ADK, AutoGen) to deploy autonomous AI agents
- Strong experience with Infrastructure as Code, preferably Terraform.
- Experience building CI/CD pipelines and GitHub Actions workflows.
- Knowledge of automated testing, code quality, security scanning, and deployment automation.
- Strong knowledge of cloud networking, IAM, security, observability, and cost management.
- Experience with Docker, Kubernetes, GKE, or Cloud Run.
- Strong leadership, communication, mentoring, and stakeholder-management skills.
- Ability to work effectively in Agile and cross-functional teams.
Preferred Qualifications:
- Google Cloud Professional Cloud Architect certification.
- Experience with GCP landing zones, Shared VPC, organization policies, and multi-project governance.
- Familiarity with Vertex AI, GitOps, policy as code, SRE, FinOps, or OpenTelemetry.
- Experience in automotive, industrial, or regulated environments.
Job:
R&D Team Leader/ArchitectOrganization:
Software ProjectSchedule:
Full timeEmployee Status:
RegularJob Type:
Job Posting Date:
2025-12-02Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
More information on Valeo: https://www.valeo.com
How we rate this
AI Architect & Infrastructure (Cloud Solution), AI4ALL at Valeo rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used LangGraph in your day-to-day work.
- What are the limits of AutoGen that you've run into, and how did you work around them?
- What's a project where you used Vertex AI hands-on?
Adapt your resume
- List these exact terms on your resume: AI agents, LangGraph, AutoGen, and Vertex AI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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