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
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