Google Cloud Spanner Engineer Jobs

1 job found

Today

Google Cloud AI Engineer

Altimetrik Corp Remote 🌍 Remote

Remote

Today

Full time Artificial Intelligence Big Data Bigquery

Apply Now

Job Description

Altimetrik Corp is seeking a Google Cloud AI Engineer to design and deploy AI agents grounded in unique business data as part of Google’s Data Cloud for the agentic era. This role blends agentic design with AI-on-data strategy, with a strong focus on real-time inference, secure data grounding, and turning high-level business goals into robust technical architectures.

What you’ll be doing

Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
Use the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to address end-to-end business challenges.
Integrate tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner.
Use Vertex AI for model training, tuning, and deployment, ensuring smooth integration with BigQuery for feature engineering.
Build and optimize streaming data pipelines (for example, via Dataflow) to support real-time inference using RunInference API or Vertex AI endpoints.
Ground models in live business context by leveraging vector engines within BigQuery or AlloyDB to reduce “AI amnesia”.
Attend internal and client-facing meetings promptly, and deliver regular, structured status updates on milestones and technical blockers.
Request help when facing technical hurdles and contribute to a collaborative troubleshooting environment.

What you bring

Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation.
Advanced knowledge of SQL for BigQuery, Python for ML engineering, and data preprocessing techniques including scaling, encoding, and imputation.
Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
Familiarity with stateful real-time processing and recent innovations in agentic architectures.

Helpful background

Experience in financial services or retail to support industry-specific data logic (for example, credit risk, royalty forecasting, or search relevance).
Knowledge of privacy and compliance practices for handling PII using masking and redaction.

Benefits

401(k)
Health insurance

Location and travel

Location: Remote

Travel: 25% (Required)

Application check

Willingness to complete a pre-employment background check contingent upon an offer.

View full job page →

Get Google Cloud Spanner Engineer Jobs alerts

New Google Cloud Spanner Engineer Jobs, daily.