Senior Technical Lead

Job Summary

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.

Key Responsibilities

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.

Skill Requirements

Google Cloud AI Stack, Core AI & Machine Learning, Programming & Frameworks, Telecom Domain Data & Architecture, Applied Telco AI Use Cases

Secondary 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.

Other Requirements

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.