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Douglas Letz

@douglasletz1

Staff AI Engineer at Atlassian building production multi-agent systems and workflow automation with enterprise APIs.

At Atlassian, I architect and operate production LLM-powered, agent-centric systems that automate SaaS business processes. I developed reusable agent orchestration frameworks and evaluation benchmarks, and established standards for observability, staged releases, and secure operations.

At TruWest Credit Union, I delivered machine learning and agent-powered automation for fraud detection, document classification, and compliance analytics. Earlier, at US Bank, I developed production models and data pipelines for financial services, including risk classification and transaction analytics.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Atlassian

Jul 2023 - Present (3 years 4 months)

Led architecture, development, and operations of production LLM-powered and agent-centric AI systems, enabling scalable workflow automation and enterprise API integration. Drove agent orchestration frameworks, evaluation benchmarks, and observability initiatives while mentoring engineers on responsible AI and best practices.

LLM Agentic AI Multi Agent Systems Agent orchestration Integration Tools Retrieval Systems Python Cloud Infrastructure CI CD Observability Incident Response Responsible AI AI Governance Enterprise APIs Technical Leadership Mentorship

AI/ML Engineer

TruWest Credit Union

Jan 2018 - Jun 2023 (5 years 5 months)

Delivered production machine learning and agent-powered automation solutions for financial operations and compliance analytics. Designed agent-driven workflows for fraud detection and document classification, built ML pipelines, and implemented observability and alerting for production models.

Machine Learning Python Cloud Services Data Pipelines Feature Engineering Model Deployment Agentic AI Fraud Detection Document Classification Observability Alerting Compliance Enterprise APIs Technical Leadership

Machine Learning Engineer

US Bank

May 2015 - Dec 2017 (2 years 7 months)

Developed, evaluated, and deployed machine learning models and supporting pipelines for production financial services. Focused on risk classification, transaction analytics, and secure deployment practices using CI/CD and GitHub Actions.