{"id":1661989,"url":"https://alion.io/job/valeo-ai-architect-infrastructure-cloud-solution-ai4all","title":"AI Architect & Infrastructure (Cloud Solution), AI4ALL","company":{"id":4446,"name":"Valeo","domain":"valeo.com","url":"https://alion.io/company/valeo","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":208,"ghost_share":0,"stale_share":0.99,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-08T05:49:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":236000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":988},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google ADK","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GenAI SDK","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI Agent Builder","optional":false},{"name":"FinOps","optional":true},{"name":"GitOps","optional":true},{"name":"LangChain","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-07-15T00:00:00Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-09T01:21:54Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":86},"description":"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.\nKey Responsibilities:\nDefine and maintain cloud architecture for AI4ALL platforms and applications.\nDesign secure, scalable, highly available, and cost-efficient infrastructure for AI solutions on GCP.\nSupport hybrid and cross-cloud integration with other cloud platforms when needed.\nEstablish reusable cloud patterns, standards, and reference architectures.\nDefine and govern Infrastructure as Code practices, preferably using Terraform.\nBuild CI/CD pipelines and GitHub Actions workflows for development teams.\nImplement automated testing, code-quality checks, security scanning, and deployment automation.\nWork with cybersecurity teams on IAM, networking, secrets management, compliance, and cloud governance.\nDesign infrastructure supporting AI, data, and generative-AI workloads.\nDefine standards for monitoring, logging, resilience, disaster recovery, and cost optimization.\nLead architecture reviews, mentor engineers, and collaborate with cross-functional Agile teams.\nRequired Qualifications:\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\n9+ years of experience in cloud engineering, infrastructure, DevOps, platform engineering, or solution architecture.\nStrong hands-on experience with Google Cloud Platform.\nExperience working with hybrid or cross-cloud environments, such as AWS or Microsoft Azure.\nHands-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\nStrong experience with Infrastructure as Code, preferably Terraform.\nExperience building CI/CD pipelines and GitHub Actions workflows.\nKnowledge of automated testing, code quality, security scanning, and deployment automation.\nStrong knowledge of cloud networking, IAM, security, observability, and cost management.\nExperience with Docker, Kubernetes, GKE, or Cloud Run.\nStrong leadership, communication, mentoring, and stakeholder-management skills.\nAbility to work effectively in Agile and cross-functional teams.\nPreferred Qualifications:\nGoogle Cloud Professional Cloud Architect certification.\nExperience with GCP landing zones, Shared VPC, organization policies, and multi-project governance.\nFamiliarity with Vertex AI, GitOps, policy as code, SRE, FinOps, or OpenTelemetry.\nExperience in automotive, industrial, or regulated environments.\nJob:\nR&D Team Leader/ArchitectOrganization:\nSoftware ProjectSchedule:\nFull timeEmployee Status:\nRegularJob Type:\nJob Posting Date:\n2025-12-02Join Us !\nBeing part of our team, you will join:\n- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development\n- a multi-cultural environment that values diversity and international collaboration\n- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth\n- 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\nMore information on Valeo: https://www.valeo.com","description_format":"text","description_chars":3533,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Automotive Manufacturing","Automotive Components"],"lifecycle":[{"event":"open","at":"2026-10-02T04:04:39Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long 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