Summary
HCLTech is seeking a Senior Technical Lead in Dubai to develop and operationalize AI and agentic capabilities for telecommunications use cases. The role includes building and testing solution components, engineering data on GCP, and supporting cloud, MLOps, and containerization platforms. Responsibilities also include translating stakeholder needs into requirements, coordinating reviews and UAT, and supporting release readiness and post-go-live stabilization. The posting asks for approximately 4 to 7 years of relevant experience and working knowledge of AI standards, compliance, and business processes.
The posting
As published on hcltech.com. Pulled from the employer's site and shown as they wrote it.
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.