AI Solutions Lead

Third Nexus Group Limited; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Third Nexus Group Limited in London seeks an AI Solutions Lead to drive discovery, design, and deployment of agentic AI workflows across front-to-back business functions within a highly regulated wealth management environment.

The role requires owning AI use cases end-to-end, designing robust AI agents, and ensuring governance and ROI. Strong English communication and stakeholder engagement are essential; experience with LLM workflows and RAG is highly valued.

Qualifications

• Hands-on experience designing and implementing LLM-driven workflows.
• Experience with agentic tool orchestration and RAG.
• Experience evaluating AI outputs with guardrails and human-in-the-loop.
• Ability to bridge commercial stakeholders and technical teams.
• Excellent communication in English; additional languages a plus.

Responsibilities

• Collaborate with business heads to identify AI opportunities.
• Own AI use cases from framing to production rollout.
• Design and deploy AI agents and workflows aligned with compliance.
• Facilitate discovery workshops and translate business challenges into specs.
• Monitor performance, ROI, and establish guardrails across the firm.

Skills

LLM-driven workflows

Agentic tool orchestration

RAG (retrieval-augmented generation)

Human-in-the-loop controls

Stakeholder management

Education

Degree in Computer Science

Data Science

Engineering

Business Informatics

Finance

Equivalent practical experience

Job description

AI Solutions Lead

Perm

London

Up to £100,000pa

We are partnering with one of Europe’s most prestigious wealth managers. Backed by a globally renowned private banking group with deep heritage and stability, our client manages several billion in assets across the UK.

Operating with an entrepreneurial, high-conviction culture, they are heavily investing in next-generation technology. They are seeking a forward-thinking AI Solutions Lead to spearhead the discovery, design, and deployment of agentic AI workflows across core front-to-back business functions.

This is a high-visibility mandate bridging enterprise strategy and hands-on execution within a highly regulated, high-touch financial environment.

Key Responsibilities

• Business Partnership & Discovery: Collaborate directly with business heads, investment teams, and operational units to uncover operational friction and define high-impact AI opportunities.
• End-to-End Delivery: Own AI use cases from initial problem framing and rapid prototyping through to production rollout and lifecycle optimisation.
• Agentic Workflow Architecture: Design and deploy robust AI agents and automated workflows tailored to real-world private wealth processes, operational constraints, and strict compliance boundaries.
• Stakeholder Enablement: Facilitate discovery workshops, translate ambiguous business challenges into clear technical specifications, and demystify AI architectures for senior leadership.
• Continuous Improvement: Monitor agent performance, user adoption, and ROI post-launch, establishing reusable deployment patterns and architectural guardrails across the firm.

Candidate Profile

• Enterprise AI & Agentic Systems: Hands-on experience designing and implementing LLM-driven workflows, agentic tool orchestration, retrieval-augmented generation (RAG), evaluations, guardrails, and human-in-the-loop controls.
• Bridge Builder: Proven track record operating seamlessly between commercial stakeholders and technical engineering environments.
• Technical Foundation: Degree in Computer Science, Data Science, Engineering, Business Informatics, Finance, or equivalent practical industry experience.
• Complex Problem Solving: Ability to decompose convoluted business processes, cut through ambiguity, and build production-ready, governed solutions.
• Communication: Exceptional stakeholder management and communication skills in English (additional European languages such as German are a plus).

Preferred Experience

• Prior exposure to Private Banking, Wealth Management, or wider Financial Services (e.g., Client Onboarding, KYC/AML, Portfolio Management, Advisory, Risk, or Compliance workflows).
• Working knowledge of enterprise security frameworks, cloud integration, data governance, and regulatory compliance within banking.
• Demonstrated experience driving user adoption and change management for disruptive technologies in corporate settings