AI Platform Developer

Charles Schwab Inc.•Southlake, TX

7d•$55 - $67

About The Position

Schwab Technology Services supports how clients manage money through technology products and services. Treasury manages liquidity, cash flow, funding, and risk across the enterprise, and is investing in data, cloud platforms, and AI to improve analyst productivity, decision-making, and analytical depth. The Senior Specialist, Treasury Cloud & AI Platforms is a hands-on technical role implementing and evolving cloud-native data and AI capabilities for Treasury analyst workflows. The role builds the technical foundation for advanced analytics, data products, and AI-assisted insights, while connecting Treasury business needs—such as risk, liquidity, and capital—to production-grade solutions. The role contributes to embedding AI, analytics, and self-service capabilities into day-to-day Treasury workflows. The position builds and scales cloud-native data and AI platforms and agents on GCP; enables analysts through LLMs, vector search, AI agents, and BI tooling; establishes modern data engineering and DevOps practices; translates analytical and business needs into production systems; and uses open-source technologies to accelerate delivery and avoid vendor lock-in.

Requirements

At least 4 years of experience in software, data, or platform engineering.
Hands-on experience with Google Cloud Platform (GCP).
Experience building and scaling AI agents, such as agentic frameworks, multi-agent orchestration, and tool-use patterns.
Experience with CI/CD, DevOps, and production operations.
Proficiency in Python for data engineering, automation, and AI development.

Nice To Haves

Proficiency with Terraform for Infrastructure-as-Code, including collaborative workflows in a team setting.
Demonstrated experience evaluating, adopting, and contributing to open-source data and AI tooling.
Background in data engineering and building data systems.
Exposure to BI and analytics platforms such as Looker, Tableau, or similar, and understanding of how analysts consume data.
Ability to understand Treasury functions such as risk, liquidity, capital, and funding, and connect technical work to business outcomes.
Working knowledge of modern analytics and AI stacks, including dbt, dlt, DuckDB, vector search and embeddings, LLM-based systems, and agentic AI frameworks and orchestration.

Responsibilities

Enable AI-driven Treasury workflows using Vertex AI, large language models, vector search, and embeddings.
Build, deploy, and operate AI agents and multi-agent systems at scale for production Treasury workflows.
Partner with analysts to productionize AI-assisted research, analysis, and reporting.
Evaluate and integrate emerging open-source AI and data tools.
Architect, build, and operate cloud-native platforms on GCP.
Own infrastructure patterns for data, analytics, AI, and BI services.
Ensure platforms are secure, scalable, observable, and resilient.
Design and maintain modern data pipelines and data models.
Build services and APIs using Python or other modern languages.
Build analytical and BI systems using tools such as dbt, dlt, DuckDB, and cloud-native storage and compute.
Enable consistent, trusted data access for Treasury analytics and reporting.
Establish and enforce CI/CD pipelines for data and AI workloads.
Partner with security and platform teams to align with enterprise standards.
Promote Infrastructure-as-Code and automation-first practices.