Google Cloud AI Engineer Telecom

Location: Dubai Experience: 10+ years Max Notice: 1 month Job Description: Mandatory Skills: Google Cloud AI Stack Core AI & Machine Learning Programming & Frameworks Telecom Domain Data & Architecture Applied Telco AI Use Cases Good to have skills: MLOps & Containerization Cloud Architecture GCP Data Engineering TECHNICAL 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.