Google Cloud & AI Solutions Engineer

Advanced Business Computing; Doha; On-site; QAR 360,000 - 540,000; Full time

Job summary

Advanced Business Computing seeks a Cloud & AI Solutions Engineer to drive pre-sales solution engineering and hands-on post-sales delivery across Google Cloud technologies, including landing zones, IaC, and custom AI agents to modernize customers.

You will design target-state architectures, demonstrate capabilities to technical leads and C‑level stakeholders, build Terraform pipelines, and deploy workloads using GKE, Cloud Run, Cloud SQL, and Spanner, while enabling RAG pipelines and enterprise

Qualifications

• 4–6 years of cloud architecture, DevOps, and delivery experience spanning pre- and post-sales.
• 1–2+ years building applied generative AI solutions, RAG pipelines, or agentic workflows.
• Bachelor’s degree in Computer Engineering, CS, AI, or related field.
• Required: Google Cloud Certified Professional Cloud Architect or Professional Data Engineer.

Responsibilities

• Co-lead technical discovery with sales, qualify requirements, and draft SOWs.
• Design target-state enterprise architectures and migration blueprints on GCP.
• Deliver demos and executive presentations to technical leads and C-level stakeholders.
• Architect, deploy, and automate Google Cloud Landing Zones (IAM, VPC, security, billing).
• Build and manage Terraform IaC pipelines.
• Lead end-to-end workload migration to GKE, Cloud Run, Cloud SQL, and Spanner.
• Develop AI Agents with Vertex AI and related frameworks; build RAG pipelines.
• Create PoCs demonstrating agentic workflows and AI use cases for pre/post sales.

Skills

Solution Architecture

Consultative Selling

Hands‑on Troubleshooting

End‑to‑End Delivery

Business Value Translation

Pre‑Sales & Post‑Sales

Cloud Architecture

DevOps

AI & Generative AI

Education

Bachelor’s degree in CS/CE/AI

Tools

Terraform

Google Cloud Platform

GKE

Cloud Run

IAM & Security

Job description

Job Scope

The 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.

Main Duties and Responsibilities

Pre‑Sales & Solution Architecture

• Co‑lead technical discovery with the sales team, qualify client requirements, author RFP/RFI responses, and draft statements of work (SOWs).
• Design target‑state enterprise architectures, cost estimations, and architectural migration blueprints on GCP.
• Deliver high‑impact technical demonstrations and executive presentations to technical leads and C‑level stakeholders.

Cloud Infrastructure Delivery & Migration (Post‑Sales)

• Architect, deploy, and automate enterprise‑grade Google Cloud Landing Zones (organization hierarchy, IAM, VPC networking, security perimeters, and billing models).
• Build and manage Infrastructure as Code (IaC) pipelines using Terraform.
• Lead end‑to‑end workload migration and modern application deployment (compute engines, Google Kubernetes Engine / GKE, Cloud Run, Cloud SQL, Spanner).

Applied AI & Agentic Development

• Design, build, and deploy production‑ready AI Agents leveraging Vertex AI, Gemini models, and agentic orchestration frameworks (e.g., LangChain, LlamaIndex, or Google GenAI SDK).
• Build Retrieval‑Augmented Generation (RAG) pipelines, grounding search, and enterprise tool‑use/function‑calling integrations.
• Develop functional Proof of Concepts (PoCs) demonstrating agentic workflows, document processing, and generative AI use cases during pre‑sales and post‑sales delivery.

Education

Bachelor’s degree in Computer Engineering, Computer Science, Artificial intelligence or any other related field

Experience

• 4 to 6 years of technical engineering experience spanning cloud architecture, DevOps, and delivery (combining pre‑sales and post‑sales).
• 1 to 2+ years of hands‑on experience building applied generative AI solutions, RAG pipelines, or agentic workflows.

Position Requirements

• Solution Architecture & Consultative Selling
• Hands‑on Technical Agility & Troubleshooting
• End‑to‑End Delivery Accountability
• Translating Complex AI/Cloud Concepts to Business Value
• Required: Google Cloud Certified Professional Cloud Architect or Professional Data Engineer.
• Preferred: Google Cloud Professional Machine Learning Engineer or Google Cloud Gen AI Leader / Developer credentials.