AI Solutions Engineer – Enterprise Banking

LGT Vestra LLP

Greater London

Hybrid

GBP 110,000 - 160,000

Full time

14 days+
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Job summary

LGT Vestra LLP is seeking a senior AI/ Technology professional to lead end-to-end AI use cases, translating complex business needs into practical AI-enabled solutions within a regulated banking setting.

You will collaborate with cross-functional teams, bridge business and technology, and drive continuous improvement of AI agents and workflows to deliver measurable value for clients and stakeholders.

Qualifications

  • Degree in relevant field or equivalent practical experience.
  • Experience at the intersection of business and technology.
  • Ability to translate business needs to technical solutions.
  • Strong English communication.
  • Knowledge of AI systems, LLMs, and agentic workflows.

Responsibilities

  • Partner with business units to understand workflows and AI opportunities.
  • Lead AI use cases end to end from discovery to rollout.
  • Design and adapt AI agents and workflows for regulated banking environment.
  • Own deployed AI agents, monitor usage and impact.
  • Facilitate workshops to identify high-impact AI use cases.
  • Bridge business and technology by translating requirements into solutions.
  • Capture learnings and drive scalable improvements.

Skills

Business-technology integration
Stakeholder management
Cross-functional collaboration
Enterprise software deployment
AI systems & agentic workflows
Analytical thinking

Education

Degree in computer science, engineering, data science, business informatics, innovation management, finance, economics or a related field

Tools

Cloud technologies
Data management
System integration
AI/automation tools
Software development

Job description

LGT Vestra LLP is seeking a senior AI/ Technology professional to lead end-to-end AI use cases, translating complex business needs into practical AI-enabled solutions within a regulated banking setting.

You will collaborate with cross-functional teams, bridge business and technology, and drive continuous improvement of AI agents and workflows to deliver measurable value for clients and stakeholders.

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