Technical Specialist

About The Job:

• Total Experience: 10+ Years

Must Have Skills:

• Agentic AI
• GCP BigQuery
• Google Cloud Platform (GCP)
• Model Context Protocol (MCP)
• Vertex AI

Essential Job Functions:
Technical :

• Use Agent Development Kit (ADK), Vertex AI Agent Builder, Model Context Protocol (MCP) servers & clients, Multimodal semantic extraction & inference, GraphRAG & Knowledge graphs, Vector embeddings & Hybrid Retrieval 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 :

• 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.

Qualifications:

• Agentic AI.
• GCP BigQuery.
• Google Cloud Platform (GCP).
• Model Context Protocol (MCP).
• Vertex AI.
• Total Experience: 10+ Years.

How to Apply:Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visitJobs In India – VARITE.