Job Title: Transversal AI & Automation Enablement Engineer Industry: Investment Banking Location: London (Hybrid) Contract: 6 months initial, with a view to extend | Inside IR35 Rate: Competitive
About the Role
Our client, a leading global investment bank, is growing its Data Operations (DataOps) function with a transversal role spanning four teams: ITAM Discovery, Data Visualisation, Project & Knowledge Management, and Data Protection. Each team has identified high-value AI/automation opportunities - this role exists to help deliver them, either by building solutions hands-on or by advising and equipping teams to build them. Candidates strong in either direction are equally welcome.
What You'll Be Doing
- Translate documented AI/automation use cases into technical designs, prototypes, or working solutions
- Build or advise on ETL/ELT pipelines preparing diverse datasets for AI consumption
- Implement or guide LLM-based solutions, including RAG systems and automation scripts
- Develop or lead the design of Proof of Concepts to validate AI ideas
- Act as a technical point of contact for AI/automation across DataOps, helping solutions be reused across teams
- Where relevant, mentor or support specialists within each team
What We're Looking For
- Experience in a data-centric or technical engineering role, with strong interest in AI/ML
- Strong Python and SQL
- Working knowledge of LLMs - via APIs, RAG, or architectural design
- Solid data engineering fundamentals (data modelling, pipelines, structured/unstructured data)
- Strong communicator - able to explain AI concepts to non-technical stakeholders, and/or advise others rather than only building solo
You don't need both skillsets below - strength in one is enough:
- Hands-on: building AI/ML pipelines or prototypes; vector databases; prompt engineering; orchestration tools (Airflow/Prefect); Git
- Advisory: designing AI/data architectures; Agentic AI principles (LangGraph, CrewAI, AutoGen); mentoring specialists without formal authority; AI governance (security, privacy, observability)
Desirable: cloud platforms (AWS/Azure/GCP); Docker/Kubernetes; MLOps/DataOps monitoring and testing
Personal Attributes: transversal mindset, proactive problem-solver or systems thinker, continuous learner, adaptable and pragmatic
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Transversal Ai & Automation Enablement Engineer employer: Lorien
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