Brian Stratton is a Senior AI Engineer and consultant who helps organizations design, build, and operate AI agents and intelligent automation that deliver measurable business impact.
With 10+ years spanning software engineering, machine learning, and enterprise data, I partner with teams to turn AI from experiment into production. From agent-based automation to RAG systems and responsible AI governance, I focus on solutions that reduce cycle time, cut costs, and drive revenue growth.
I build agent-based systems using LLMs, tool and function calling, memory, and orchestration frameworks like LangChain and LangGraph. Every solution is grounded in software engineering best practices: human-in-the-loop approvals, evaluation and regression testing, observability, security, and cost management, so automation is reliable and production-ready.
Senior AI Engineer with 10+ years designing, building, and operating AI agents and intelligent process automation that deliver measurable business impact. Grounded in computer science and software engineering best practices, I build agent-based systems using LLMs, RAG, embeddings, and vector search, integrated with enterprise systems through service-based architecture and APIs. My work pairs technical depth with operational excellence, applying human-in-the-loop patterns, quantitative evaluation, guardrails, observability, and cost management so AI runs safely and reliably in production.
BreakThru Beverage Group
Net Revenue / Data Manager
August 2022 - Present
Designed, built, and operated AI agents and intelligent process automation using LLMs, tool and function calling, memory, and orchestration frameworks (LangChain, LangGraph) across enterprise systems. Exposed agent services and APIs with FastAPI, grounded on Azure and Fabric data pipelines. Applied human-in-the-loop approvals, guardrails, and monitoring; mentored 4 engineers and delivered 3.5% YoY revenue growth.
Reynolds American
Lead AI Engineer / Analytics Manager
October 2020 - August 2022
Built LLM-based automation and orchestration (LangChain) integrated with enterprise applications in a regulated environment. Partnered with IT operations, security, and compliance to reduce operational risk and ensure safe, governed deployment. Mentored 5 engineers on engineering best practices, testing, and CI/CD; delivered a 7-point market share improvement and 6.7% YoY revenue growth.
Bridge Hotel Group
Senior Data Engineer / AI Solutions Lead
Feb 2019 - October 2020
Built containerized AI services and APIs (Docker/Kubernetes) on AWS with real-time automation and monitoring, integrated with enterprise systems and achieving 9.5% YoY revenue improvement. Partnered with operations and application development stakeholders to define scope, identify automation opportunities, and translate business processes into AI-driven workflows.
B.F. Saul Hospitality
Senior Data Analyst / ML Solutions Engineer
Feb 2018 - Feb 2019
Built ML-powered automation and API integrations using Python and AWS, deploying models with monitoring to deliver $2.5M portfolio growth. Translated hospitality business needs into data products, applying quantitative research and predictive modeling to guide strategy and improve retention.
Choice Hotels International
Data Analyst / Analytics Engineer
July 2016 - Feb 2018
Built predictive automation and data services using Python and SQL, delivering 4% portfolio growth ($1.1M) through machine learning and process automation. Developed forecasting and trend analysis across a multi-property portfolio to inform strategy and business planning.
Beyond client work, I am completing a Doctor of Business Administration researching AI-driven decision systems, and I am drawn to mission-driven organizations focused on sustainability and social impact.
Education
University of Maryland - Doctor of Business Administration, Information Systems (In Progress)
Seattle University - Master of Business Administration
University of North Texas - Bachelor of Science, Hospitality Management