{"id":3506807,"url":"https://alion.io/job/midis-group-google-cloud-and-ai-solutions-engineer","title":"Google Cloud and AI Solutions Engineer","company":{"id":2780548,"name":"Midis Group","domain":"midisgroup.com","url":"https://alion.io/company/midisgroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Qatar"],"countries":["QA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Google GenAI SDK","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-14T02:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-11-08T22:25:05Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"Job Title\nGoogle Cloud and AI Engineer\nJob Scope\nThe Cloud & AI Solutions Engineer is responsible for driving both pre-sales solution engineering and hands-on post-sales delivery across the full spectrum of Google Cloud technologies. This includes leading technical discovery, architecting enterprise Google Cloud landing zones, deploying production-grade cloud workloads, and designing and developing custom AI agents and generative AI solutions to drive customer modernization.\nMain Duties and Responsibilities\n Pre-Sales & Solution Architecture:\nCo-lead technical discovery with the sales team, qualify client requirements, author RFP/RFI responses, and draft statements of work (SOWs).\nDesign target-state enterprise architectures, cost estimations, and architectural migration blueprints on GCP.\nDeliver high-impact technical demonstrations and executive presentations to technical leads and C-level stakeholders.\n Cloud Infrastructure Delivery & Migration (Post-Sales):\nArchitect, deploy, and automate enterprise-grade Google Cloud Landing Zones (organization hierarchy, IAM, VPC networking, security perimeters, and billing models).\nBuild and manage Infrastructure as Code (IaC) pipelines using Terraform.\nLead end-to-end workload migration and modern application deployment (compute engines, Google Kubernetes Engine / GKE, Cloud Run, Cloud SQL, Spanner).\n Applied AI & Agentic Development:\nDesign, build, and deploy production-ready AI Agents leveraging Vertex AI, Gemini models, and agentic orchestration frameworks (e.g., LangChain, LlamaIndex, or Google GenAI SDK).\nBuild Retrieval-Augmented Generation (RAG) pipelines, grounding search, and enterprise tool-use/function-calling integrations.\nDevelop functional Proof of Concepts (PoCs) demonstrating agentic workflows, document processing, and generative AI use cases during pre-sales and post-sales delivery.\nPosition Requirements\nSolution Architecture & Consultative Selling\nHands-on Technical Agility & Troubleshooting\nEnd-to-End Delivery Accountability\nTranslating Complex AI/Cloud Concepts to Business Value\n Required: Google Cloud Certified Professional Cloud Architect or Professional Data Engineer.\n Preferred: Google Cloud 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