AI Prompt Engineer focusing on developing conversational AI experiences for healthcare professionals at Elsevier. Join a team creating innovative solutions powered by generative AI.
About the role
- Senior Data Engineer responsible for architecting and delivering a Generative AI platform solution. Collaborating with Data Scientists and leading projects in cloud environments.
Responsibilities
- Own the end‑to‑end design and delivery of the Generative AI platform solution
- Architecting, coding, shipping, and scaling it in production
- Design AI Agents with MCP/API interface
- Shape the overall data & GenAI architecture
- Select frameworks, storage engines, orchestration tools
- Write production ‑ grade code and build ingestion pipelines
- Lead multi ‑ component projects and report progress to stakeholders
- Coach engineers on best practices in data engineering, DevOps, and LLM ‑ Ops
Requirements
- Strong engineering experience building data platforms or large ‑ scale distributed systems
- Proven experience in cloud ‑ native AI / ML workloads via automated CI/CD pipelines
- Strong experience in Python
- Demonstrate hands-on experience in designing, developing, and maintaining APIs
- Proven delivery of GenAI / LLM products in production
- Proven experience building AI Agents
- Mastery of modern data tooling: SQL & NoSQL stores, Docker , Terraform, GitHub Actions/Azure DevOps
- Strong grasp of data governance, security, and privacy for regulated industries
- Excellent communication skills
Benefits
- Flexible working arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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