Senior AI Platform Engineer, Cloud & Treasury Analytics

Charles Schwab; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) with company match

Paid vacation & volunteering leave

Sabbatical after 5 years

Parental leave & family benefits

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Senior Specialist, Treasury Cloud & AI Platforms, to design and scale cloud-native data and AI capabilities that power Treasury analytics. You will bridge engineering with business needs, writing Python, building GCP infrastructure, and evaluating open-source tools to deliver trusted insights.

You will enable Treasury analysts with AI agents, LLMs, vector search, and BI tooling, own data pipelines, CI/CD, and IaC practices, and collaborate with security and platform

Qualifications

• 4 years of software, data, or platform engineering experience.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience building and scaling AI agents and production systems.

Responsibilities

• Build and scale cloud-native data, AI platforms and agents on GCP.
• Enable Treasury analytics with AI, LLMs, vector search, and BI tooling.
• Design modern data pipelines and APIs using Python.
• Establish CI/CD and IaC for data workloads.
• Collaborate with Treasury analysts to productionize AI research.

Skills

Python

GCP

AI agents

CI/CD

DevOps

Data engineering

Cloud infrastructure

Analytics

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Looker

Tableau

dbt

dlt

DuckDB

Vector search

Embeddings

Job description

Charles Schwab is seeking a Senior Specialist, Treasury Cloud & AI Platforms, to design and scale cloud-native data and AI capabilities that power Treasury analytics. You will bridge engineering with business needs, writing Python, building GCP infrastructure, and evaluating open-source tools to deliver trusted insights.

You will enable Treasury analysts with AI agents, LLMs, vector search, and BI tooling, own data pipelines, CI/CD, and IaC practices, and collaborate with security and platform