Forward Deployed Engineer

lgt; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

LGT Wealth Management UK LLP is seeking an AI-focused professional to partner with business units and lead AI initiatives across the bank’s operations in the UK. You will design, build and optimize AI agents and workflows within a regulated banking environment while monitoring deployed agents for impact and value.

You will facilitate workshops, translate business requirements into technical solutions, and drive scalable improvements across the organisation, collaborating with various

Qualifications

• Experience shaping AI strategy and translating business needs into real AI solutions.
• Proven ability to lead end-to-end AI use cases from discovery to rollout.
• Strong background enabling AI in regulated banking environments.

Responsibilities

• Partner closely with business units to understand workflows and opportunities for AI value.
• Lead AI use cases end to end from discovery to continuous improvement.
• Design, build and adapt AI agents and AI-enabled workflows for real processes.
• Take ownership of deployed AI agents by monitoring usage, performance and impact.
• Facilitate workshops with business teams to identify and shape high-impact use cases.
• Bridge between business and technology, translating requirements into solutions.
• Capture learnings and feed them into reusable patterns across the organisation.

Skills

AI strategy

LLM integration

Stakeholder management

Business-IT liaison

Workshop facilitation

Education

Degree in computer science

Tools

LLM tooling

Cloud platforms

Data pipelines

RAG workflows

Job description

LGT Wealth Management UK LLP is a UK-based partnership, wholly owned by the private banking group LGT, which is in turn owned by the Princely Family of Liechtenstein. When we set up LGT Wealth Management in 2008, our aim was to offer a fresh approach to wealth management. Alongside the LLP we also have two other entities which focus on US and Jersey based clients. Our head office is based in London however we have a presence in Edinburgh, Jersey, Leeds, Birmingham, Bristol and Manchester. The plan was simple: put our clients first by providing a transparent service, designed around what is right for each of them. By drawing together in-depth knowledge and experience from across the industry, we provide a flexible, bespoke service adapted to each of our clients' needs.

Our mission is to create long-term value for all stakeholders. Our culture encourages individuals to generate, develop and implement ideas which will strengthen our business. Belonging, respect, integrity, conviction and entrepreneurship are our core values. As our brand recognition grows, we are fast becoming an employer of choice in our sector. We have over £30 billion in funds under management and circa 700 staff.

Job Description

• Partner closely with business units and support functions to understand workflows, pain points and opportunities where AI can create measurable value.
• Lead AI use cases end to end from discovery and scoping through prototyping, implementation, rollout and continuous improvement.
• Design, build and adapt AI agents and AI-enabled workflows to fit real business processes, enterprise constraints and the requirements of a regulated banking environment.
• Take ownership of deployed AI agents by monitoring their usage, performance and business impact and by driving ongoing optimisation in collaboration with stakeholders.
• Facilitate workshops and working sessions with business teams to identify, prioritise and shape high-impact AI use cases and practical implementation paths.
• Act as a bridge between business and technology by translating business requirements into technical solutions and explaining technical concepts in a clear and accessible way.
• Capture learnings from deployments and feed them back into reusable patterns, improvements and scalable approaches across the organisation.

Requirements

Your Responsibilities

• Partner closely with business units and support functions to understand workflows, pain points and opportunities where AI can create measurable value.
• Lead AI use cases end to end from discovery and scoping through prototyping, implementation, rollout and continuous improvement.
• Design, build and adapt AI agents and AI-enabled workflows to fit real business processes, enterprise constraints and the requirements of a regulated banking environment.
• Take ownership of deployed AI agents by monitoring their usage, performance and business impact and by driving ongoing optimisation in collaboration with stakeholders.
• Facilitate workshops and working sessions with business teams to identify, prioritise and shape high-impact AI use cases and practical implementation paths.
• Act as a bridge between business and technology by translating business requirements into technical solutions and explaining technical concepts in a clear and accessible way.
• Capture learnings from deployments and feed them back into reusable patterns, improvements and scalable approaches across the organisation.

Your Profile

• Degree in computer science, engineering, data science, business informatics, innovation management, finance, economics or a related field; equivalent practical experience is also welcome.
• Experience working effectively at the intersection of business and technology.
• Strong understanding of business processes and stakeholder needs with the ability to build trust and work closely with internal clients and cross-functional teams.
• Hands-on experience building and deploying practical technology solutions in complex enterprise environments.
• Strong understanding of modern AI systems and agentic workflows including LLM integration, retrieval, tool use, context orchestration, evaluations, guardrails, observability and human-inthe-loop workflows.
• Ability to analyse complex workflows, simplify ambiguity and translate business requirements into practical and responsible solutions.
• Strong communication skills in English; German and additional languages relevant to LGT locations are an advantage.

Preferred Qualifications

• Experience in private banking, wealth management or financial services, ideally in areas such as client advisory, onboarding, KYC, investment processes, operations, risk or compliance.
• Familiarity with enterprise requirements related to security, governance, risk management, data privacy and regulatory expectations.
• Experience with modern software development, data management, system integration, cloud technologies, and relevant AI or automation tools.
• Experience supporting ad