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Transversal AI & Automation Enablement Engineer

LorienCity of Londonreedpublished 10/15/2026
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Must-have:PythonGitDockerKubernetesDataAIFinTechSecurityLeadHybrid
Nice-to-have:AWSAzureGoogle CloudCloud

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

Interested?

Whether your strength is hands-on delivery, technical advisory, or a mix of both, we'd love to hear from you.

Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.