Lead AI Platform Developer

Role Overview

The Senior Manager, Treasury Cloud & AI Platforms will lead the design and evolution of cloud‑native data and AI capabilities that directly power Treasury analyst workflows. The role builds the technical foundation that enables advanced analytics, data products, and AI‑assisted insights across Treasury, working with open‑source tooling, GCP, and Treasury stakeholders to operationalize AI.

• Cloud & Platform Engineering
  • Architect, build, and operate cloud‑native platforms on GCP.
  • Own infrastructure patterns for data, analytics, and AI services.
  • Ensure platforms are secure, scalable, observable, and resilient.
• Data Engineering & Analytics Enablement
  • Design and maintain modern data pipelines and data models.
  • Build analytical systems using tools such as dbt, dlt, DuckDB, and cloud‑native storage and compute.
  • Enable consistent, trusted data access for Treasury analytics.
• AI & Advanced Analytics
  • Enable AI‑driven Treasury workflows using Vertex AI and LLMs.
  • Implement vector search and embeddings to support Treasury research and reporting.
  • Partner with analysts to product ionise AI‑assisted research and analysis.
  • Evaluate and integrate emerging open‑source AI and data tooling.
• Dev Ops & 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.
• Technical Leadership
  • Act as a technical thought leader within Treasury Technology.
  • Mentor engineers and analysts on modern data and AI practices.

• 8+ years of experience in software, data, or platform engineering.
• Strong hands‑on experience with cloud‑based technologies, preferably GCP.
• Advanced proficiency in Python.
• Demonstrated experience with open‑source data and AI tooling.
• Strong background in data engineering and building data systems.
• Experience implementing CI/CD, Dev Ops, and production operations.
• Working knowledge of modern analytics and AI stacks, including dbt, dlt, DuckDB, vector search, embeddings, and LLM‑based systems.

• 401(k) with company match and Employee Stock Purchase Plan.
• Paid vacation, volunteering time, and a 28‑day sabbatical after every 5 years of service (eligible positions).
• Paid parental leave and family‑building benefits.
• Tuition reimbursement.
• Health, dental, and vision insurance.
• Eligibility for bonus or incentive opportunities.