AI & Data SME - Remote / Telecommute

We are looking for AI & Data SME - Remote / Telecommute for our client in San Jose CA.

Job Title: AI & Data SME - Remote / Telecommute

Job Location: San Jose CA

Job Type: Contract

Job Overview:

Pay Range: $55.00hr - $60.00hr

Requirement/Must Have:

• Deep enterprise data engineering: pipelines, ETL/ELT, data modelling, and data quality at scale.
• Hands-on with Google Cloud data stack: BigQuery, Vertex AI Search, AlloyDB/Cloud SQL, Dataflow/Dataproc.
• Strong RAG design: embeddings, vector databases, chunking, hybrid/semantic search, grounding evaluation.
• Experience integrating enterprise sources (Databricks, ServiceNow, Snowflake, SharePoint/OneDrive).
• Proficiency in Python and SQL.
• Solid grasp of GenAI/LLM data patterns.
• Strong data governance, privacy (PII/DLP), and security knowledge.
• 9+ years in data engineering / data architecture with recent GenAI/RAG delivery.

Responsibilities:

• Define the enterprise data-to-AI strategy: ingestion, normalization, embeddings, vector stores, and RAG grounding for agents.
• Architect and oversee data pipelines from source systems into Google Cloud.
• Own retrieval quality: chunking strategies, embedding models, hybrid search, and grounding accuracy for Finance/Marketing/HR agents.
• Establish AI data governance: data privacy, PII controls, lineage, quality, and access management.
• Advise architects and developers on data readiness, feature/knowledge design, and evaluation of grounded responses.
• Guide model selection and cost/performance trade-offs for data-heavy agent workloads.
• Act as a senior technical authority in stakeholder discussions on data-track dependencies.
• Mentor Data & AI Engineers and set standards for reusable data assets.

Nice to Have:

• Knowledge graphs and advanced retrieval (GraphRAG, corrective/self-RAG).
• Snowflake / Databricks certifications.
• Google Professional Data Engineer certification.
• Experience with AI evaluation frameworks and observability for data quality.
• Prior high-tech / semiconductor domain exposure.

Skills:

• Google Cloud data stack.
• BigQuery.
• Vertex AI Search.
• AlloyDB/Cloud SQL.
• Dataflow/Dataproc.
• Python.
• SQL.
• RAG design.
• GenAI/LLM.
• Data Governance.

Qualification And Education:

• Google Professional Data Engineer or relevant cloud data certification preferred.

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• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities