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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level data role with metro location and generalist title but specialized AI/RAG skills reduce applicant density.
Core data engineering and AI pipeline skills are broadly transferable across industries, not insurance-specific.
Multiple explicit years, required cloud, RAG, vector DBs, prompt engineering and AI pipeline skills enforce strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Implement and maintain AI data pipelines combining structured, semi-structured, and unstructured data to support AI and agentic solutions.
Build scalable real-time data streaming pipelines and develop data products for various consumption use cases including Reporting, Data Science, AI/ML, and Analytics.
Design and manage complex knowledge graphs and implement Retrieval-Augmented Generation (RAG) architectures integrated with enterprise data infrastructure.
Minimum Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, or related field.
Minimum 3 years of data engineering experience including SQL/NoSQL, ETL/ELT, Cloud technologies, Python/Spark.
At least 1 year experience specifically implementing AI-driven data solutions and RAG pipelines.
Minimum 2 years experience with cloud platforms (AWS, GCP, or Azure).
Ideal Candidate Profile
Experienced in developing scalable, AI-enabled data systems with hands-on skills in vector, graph, and document databases.
Comfortable working collaboratively across technical and DevOps teams in an agile, fast-paced environment.
Strong ability to translate complex technical AI/data topics into actionable business strategies and solutions.