You will be taken to HCLTech’s own careers page to apply. Job ID 1372208855.
Job description
Job Summary
TECHNICAL JOB DESCRIPTION
Use Agent Development Kit (ADK), Vertex AI Agent Builder, Model Context Protocol (MCP) servers & clients, Multimodal semantic extraction & inference, GraphRAG & Knowledge graphs, Vector embeddings & Hy... to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by Knowledge catalogs & AI data governance guardrails.
Use Ontologies & Semantic schema mapping, PIM/PXM product data enrichment to model, ingest, transform, secure, and serve data using the required scope, supported by BigQuery lakehouse & context-aware data access, Cloud Composer, Dataflow ingestion & retrieval pipelines.
Use Terraform (IaC module development), GCP landing zones to design, provision, configure, migrate, and tune platform components using the required scope.
Use IAM & secure pipelines to implement, harden, test, and remediate security and access controls using the required scope.
Apply Tool orchestration & Function calling as additional skill requirements for this demand.
Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
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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 Agent Development Kit (ADK), Vertex AI Agent Builder, Model Context Protocol (MCP) servers & clients, Multimodal semantic extraction & inference, GraphRAG & Knowledge graphs, Vector embeddings & Hy... to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by Knowledge catalogs & AI data governance guardrails.
Use Ontologies & Semantic schema mapping, PIM/PXM product data enrichment to model, ingest, transform, secure, and serve data using the required scope, supported by BigQuery lakehouse & context-aware data access, Cloud Composer, Dataflow ingestion & retrieval pipelines.
Use Terraform (IaC module development), GCP landing zones to design, provision, configure, migrate, and tune platform components using the required scope.
Use IAM & secure pipelines to implement, harden, test, and remediate security and access controls using the required scope.
Apply Tool orchestration & Function calling as additional skill requirements for this demand.
Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
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
Agentic & AI Agent Development Kit (ADK) / Vertex AI Agent Builder Model Context Protocol (MCP) servers & clients Tool orchestration & Function calling Multimodal semantic extraction & inference Graph & Retrieval GraphRAG & Knowledge graphs Vector embeddings & Hybrid search Ontologies & Semantic schema mapping PIM/PXM product data enrichment"
Secondary skills "Data Foundations (GCP) BigQuery lakehouse & context-aware data access Cloud Composer / Dataflow ingestion & retrieval pipelines Knowledge catalogs & AI data governance guardrails Infrastructure & Deployment Terraform (IaC module development) GCP landing zones, IAM & secure pipelines"
TECHNICAL JOB DESCRIPTION
Use Agent Development Kit (ADK), Vertex AI Agent Builder, Model Context Protocol (MCP) servers & clients, Multimodal semantic extraction & inference, GraphRAG & Knowledge graphs, Vector embeddings & Hy... to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by Knowledge catalogs & AI data governance guardrails.
Use Ontologies & Semantic schema mapping, PIM/PXM product data enrichment to model, ingest, transform, secure, and serve data using the required scope, supported by BigQuery lakehouse & context-aware data access, Cloud Composer, Dataflow ingestion & retrieval pipelines.
Use Terraform (IaC module development), GCP landing zones to design, provision, configure, migrate, and tune platform components using the required scope.
Use IAM & secure pipelines to implement, harden, test, and remediate security and access controls using the required scope.
Apply Tool orchestration & Function calling as additional skill requirements for this demand.
Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
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.
Other Requirements
TECHNICAL JOB DESCRIPTION
Use Agent Development Kit (ADK), Vertex AI Agent Builder, Model Context Protocol (MCP) servers & clients, Multimodal semantic extraction & inference, GraphRAG & Knowledge graphs, Vector embeddings & Hy... to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by Knowledge catalogs & AI data governance guardrails.
Use Ontologies & Semantic schema mapping, PIM/PXM product data enrichment to model, ingest, transform, secure, and serve data using the required scope, supported by BigQuery lakehouse & context-aware data access, Cloud Composer, Dataflow ingestion & retrieval pipelines.
Use Terraform (IaC module development), GCP landing zones to design, provision, configure, migrate, and tune platform components using the required scope.
Use IAM & secure pipelines to implement, harden, test, and remediate security and access controls using the required scope.
Apply Tool orchestration & Function calling as additional skill requirements for this demand.
Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
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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