You will be taken to HCLTech’s own careers page to apply. Job ID 1372210355.
Job description
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.
Own technical design decisions, code and configuration reviews, and standards for the above tools.
FUNCTIONAL JOB DESCRIPTION
Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.
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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.
Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
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 7 to 10 years of relevant industry experience aligned to the Senior 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.
Own technical design decisions, code and configuration reviews, and standards for the above tools.
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.
Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
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 7 to 10 years of relevant industry experience aligned to the Senior 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
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.
Own technical design decisions, code and configuration reviews, and standards for the above tools.
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.
Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
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 7 to 10 years of relevant industry experience aligned to the Senior 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.
Secondary Skills
MLOps & Containerization, Cloud Architecture, GCP Data Engineering
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.
Own technical design decisions, code and configuration reviews, and standards for the above tools.
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.
Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
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 7 to 10 years of relevant industry experience aligned to the Senior 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.
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