Senior Specialist - Treasury AI Engineer
About The Position
Schwab is looking for a Senior Specialist, Treasury Cloud & AI Platforms to implement the design and evolution of cloud-native data and AI capabilities that directly power Treasury analyst workflows. This role is responsible for creating the technical foundation that enables advanced analytics, data products, and AI-assisted insights across Treasury. The ideal candidate will understand Treasury's business context and translate that understanding into solutions that drive measurable impact. This is a hands-on technical role for someone who combines strong engineering fundamentals with genuine curiosity about the business problems they're solving. You should be equally comfortable writing Python, building cloud infrastructure, evaluating open-source tools, and sitting with a Treasury analyst to understand what they actually need. The role contributes directly to embedding AI, analytics, and self-service capabilities into day-to-day Treasury workflows.
Requirements
- 3+ years of experience in software, data, or platform engineering
- Hands-on experience with Google Cloud Platform (GCP)
- Experience building and scaling AI agents (e.g., agentic frameworks, multi-agent orchestration, 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 (e.g., Looker, Tableau, or similar) and understanding of how analysts consume data
- Ability to understand Treasury functions (risk, liquidity, capital, funding) and connect technical work to business outcomes
- Working knowledge of modern analytics and AI stacks, including: dbt, dlt, DuckDB, Vector search / embeddings, LLM-based systems, Agentic AI frameworks and orchestration
Responsibilities
- Build and scale cloud-native data, AI platforms, and AI agents on GCP
- Enable Treasury analysts through LLMs, vector search, AI agents, and BI tooling
- Establish modern data engineering and DevOps practices
- Translate analytical and business needs into production-grade systems
- Leverage open-source technologies to accelerate delivery and avoid vendor lock-in
- Enable AI-driven Treasury workflows using Vertex AI, Large Language Models (LLMs), Vector search / 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 tooling
- 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 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
Benefits
- bonus or incentive opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
