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.
- 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
Must Have Skill
GCP Data Engineering,GCP MLOps Engineering,Google Cloud Platform (GCP),MLOps (Machine Learning Operations),Agentic AI
Positive to Have Skill
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.
📌 Technical Specialist (India)
🏢 HCLTech
📍 India