Data Center Solutions Engineer specializing in data architecture and analytics for GXO Logistics. Designing, building, and optimizing data solutions while writing complex SQL queries and creating dashboards.
About the role
- Principal Solutions Architect focusing on AI-enabled content solutions for Life Sciences & Health. Working at the intersection of innovation, architecture, and AI integration.
Responsibilities
- Architect and define technical direction for a new AI-enabled content platform within the LS&H segment
- Act as a bridge between end users and implementation teams — translating needs, proposing solutions, and ensuring seamless execution
- Design cloud-native solutions using vector databases and modern architecture patterns
- Provide hands-on support in Python development and cloud architecture when necessary
- Influence long-term technical strategy, ensuring scalability, performance, and innovation across systems
Requirements
- Bachelor's degree in computer science or a related field
- At least 10 years of experience in software development, with a focus on solution architecture
- At least 10 years of programming experience with Python
- At least 7 years of hands-on experience working with cloud-based systems (AWS preferred, but Azure/GCP also considered)
- At least 2 years of experience with vector databases (e.g., Pinecone, FAISS, Milvus)
- Proven ability to interface between end users and technical implementation teams, translating needs and solutions effectively
Benefits
- medical
- dental
- prescription drug
- life insurance
- 401k with match
- long term disability coverage
- vacation
- sick time
- volunteer time
- discount programs
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