AI Developer at Hollis, leading the design and deployment of AI capabilities across the business. Focuses on creating a proprietary AI platform and improving productivity through data - driven solutions.
About the role
- Data & AI Engineer owning end-to-end lifecycle of data-driven AI applications for Formula E. Bridging data architecture with intelligence and leveraging Google Cloud technologies for high impact.
Responsibilities
- Bridge the gap between robust data architecture and cutting-edge intelligence.
- Own the end-to-end lifecycle of data-driven AI applications.
- Design, build, and maintain scalable data pipelines within Google Cloud Platform (GCP).
- Design and deploy autonomous AI agents and orchestration frameworks to automate complex workflows.
- Leverage the full Google suite—including Vertex AI, Agent Builder, and BigQuery—to create production-ready RAG systems.
- Develop and optimise vector databases and traditional data models (SQL/NoSQL).
- Partner with technical and non-technical teams to identify data-rich automation opportunities.
- Take accountability for the performance, data integrity, and safety of AI deployments.
Requirements
- Proven experience building production-grade data solutions on GCP, with deep knowledge of BigQuery, Cloud Run, and Cloud Functions.
- Hands-on experience building AI applications using Vertex AI (Model Garden, Studio) and implementing Gemini or other LLM architectures.
- Proficiency in developing AI agents using Vertex AI Agent Builder, LangChain, or similar frameworks to manage complex logic flows.
- Expert-level Python skills, specifically for data engineering, API development, and LLM integration.
- Experience with RAG architectures, managing Vector Databases (e.g., Vertex AI Search, Pinecone, or pgvector), and handling structured vs. unstructured data flows.
- A "DataOps" mindset—strong experience with Git, CI/CD, and version control for both code and data/model lineage.
- A relevant Google Cloud certification (Professional Data Engineer or Professional Machine Learning Engineer) would be highly beneficial.
Benefits
- 25 days' annual leave
- Birthday day off and Wellbeing leave
- Opportunity to extend your stay if travelling for a race event
- Health Cash Plan and access to the Aviva Digital Workplace app
- Enhanced Parental Leave
- Flexible Bank Holidays
- Paid volunteer and carer's leave
- Cycle to Work and Electric Car Scheme
- Formula E store discount
- Regular social events and employee working groups
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