Technical Solutions Consultant, Global Security Systems and Technology Applied Data and AI Solutions
Boulder, CO, USA +4 · Full-time · Posted Oct 16, 2026
- Location
- Boulder, CO, USA
Austin, TX, USA
Chicago, IL, USA
New York, NY, USA
Seattle, WA, USA - Experience
- 5 years of experience troubleshooting technical issues for internal/external partners or customers.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Develop and maintain data- and AI-powered technical solutions that automate Global Security and Resilience Services workflows and help improve Google’s security and operational efficiency.
What you'll do
- Develop and manage applications and AI agents, and use AI/ML to improve workflow efficiency.
- Deploy, debug, and maintain technical solutions; document work and participate in design and code reviews.
- Set configuration management standards and protect private data in accordance with security and privacy requirements.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- Experience troubleshooting technical issues for internal or external partners or customers.
- Experience with Python, Go, Java, or another modern backend language, plus building and maintaining SQL data pipelines and managing production infrastructure.
- Experience developing and deploying enterprise machine learning and artificial intelligence solutions, with a focus on large language models (LLMs).
Nice to have
- Master’s degree in Business, Statistics, Mathematics, Economics, Engineering, Applied Science, or a related field.
- Experience writing and reviewing production-ready code in a distributed environment; managing applications in Google Cloud Platform; or using Google Agent Development Kit Platform.
Pay
USD 152000 - 221000 base salary
Tools
Python, Go, Java, SQL, Google Cloud, Google Cloud Platform, Google Agent Development Kit Platform, LLMs
AI focus
Develop and manage applications and AI agents, and leverage AI/ML—especially solutions focused on LLMs—to improve workflows.
Model-written summary · the original posting is authoritative