> Markdown version of [/jobs/ext/3845882-solutions-architect](https://www.wearedevelopers.com/jobs/ext/3845882-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect - **Company:** General Electric Company - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Information Systems, Computer Programming, Computer Engineering, Data Warehousing, Software Debugging, Distributed Data Store, R (Programming Language), Python (Programming Language), Online Analytical Processing, Online Transaction Processing, Cloud Services, SQL Databases, Scikit Learn, Information Technology - **Published:** October 20, 2026 - **Apply:** https://www.juju.com/job/23_F82170EF42C0D51A4BC25E6EBF6DEF85 ## About the Role Solution architects are customer-facing. You'll need to be comfortable communicating ideas to various audiences through presentations, whiteboarding, architecture discussions, and platform demonstrations. 3+ years in a customer-facing pre-sales, technical architecture, or consulting role. Experience designing and architecting distributed data systems. Comfortable programming in and debugging in Python, Java, SQL, and R. Have built solutions with public cloud providers, such as AWS, Azure, or GCP. Experience in at least one of the following: Data Warehousing (e.g., SQL, OLTP/OLAP/DSS), Data Science and Machine Learning technologies (e.g., pandas, scikit-learn). Degree in a quantitative discipline (e.g. Computer Science, Computer Engineering, Information Systems, Applied Mathematics). Nice to have: AWS and/or Azure Certification. ## Description Provide technical leadership for engineers to evaluate and adopt Data and AI solutions. Consult on big data architecture, implement proof of concepts and solutions for business strategic projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications. Build and present reference architectures, technical guides, and demo applications. Provide escalated support for critical customer operational issues. Use your strengths to help your fellow team members, and drive cross-functional relationships across the company. Travel to team and customer location (20%).