Senior Specialist - Treasury AI Engineer

Role Overview

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.

Required Qualifications

• 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

Preferred Qualifications

• 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

Key Responsibilities

AI & Advanced Analytics

• Enable AI-driven Treasury workflows using: Vertex AILarge 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

Cloud & Platform Engineering

• Architect, build, and operate cloud-native platforms on GCPOwn infrastructure patterns for data, analytics, AI, and BI services
• Ensure platforms are secure, scalable, observable, and resilient

Data Engineering & Analytics Enablement

• Design and maintain modern data pipelines and data models
• Strong software engineering skills, including experience building 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

DevOps & CI/CD

• 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

What’s in it for you

• Competitive benefits package that takes care of the whole you – both today and in the future: 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance