Google Cloud AI Engineer – Telecom
Ampstek · Dubai, United Arab Emirates
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Mandatory Skills:Google Cloud AI StackCore AI & Machine LearningProgramming & FrameworksTelecom Domain Data & ArchitectureApplied Telco AI Use CasesGood to have skills:MLOps & ContainerizationCloud ArchitectureGCP Data EngineeringTECHNICAL JOB DESCRIPTION
- Use Programming & Frameworks to build, code, and unit-test solution components using the required scope.
- Use Google Cloud AI Stack, Core AI & Machine Learning, Applied Telco AI Use Cases to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.
- Use GCP Data Engineering to model, ingest, transform, secure, and serve data using the required scope.
- Use MLOps & Containerization to design, provision, configure, migrate, and tune platform components using the required scope.
- Use Telecom Domain Data & Architecture to implement domain-specific processes, rules, standards, and validations covering the required scope.
- Apply Cloud Architecture as additional skill requirements for this demand.
- Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
- Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.
- Follow approved designs and engineering standards while using the above tools on assigned tasks.FUNCTIONAL JOB DESCRIPTION
- Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.
- Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.
- Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.
- Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.
- Support stakeholder discussions, clarify assigned requirements, and escalate risks early.
- Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
- Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.
- Bring approximately 4 to 7 years of relevant industry experience aligned to the Regular Engineer band, with a track record of delivery in similar engagements.
- Apply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this engagement.