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.
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.
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
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.
Source: HCLTech careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
HCLTech is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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