AI Architecture / Principal AI Engineer

Role: Principal AI Engineer - Lead Colleague AI Transformation (Financial Services)

Location: Central London, Hybrid working 2/3 times per week from the office, the rest from home

Start Date: ASAP

End Date: 6 Months initially

Daily Rate: Very competitive day rate, Inside IR35

Overall Purpose of the Role

We are seeking a hands-on Principal AI Engineer to act as the technical right hand for the Automation & AI Practice, accelerating the Colleague AI agenda. This pivotal role will transition the organisation from isolated AI experiments to a fully resourced, governed, and scalable AI delivery capability. You will seed in-house expertise to reduce vendor dependency, mitigate key person risk, and govern shadow AI usage across the business.

Key Responsibilities

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• Provide hands-on technical leadership across Colleague AI initiatives including Sierra PoC and Claude roll-out, owning architecture and design.
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• Drive the build of agentic AI solutions for Tribeless colleagues.
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• Consult on the broader Colleague AI backlog (complaint triage, helpdesk assistant, inbox routing, QA/QC), ensuring solutions are fit for purpose, secure, low risk, and cost-efficient amid consumption-based AI pricing.
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• Define and embed AI engineering standards, reference architectures, and reusable patterns, collaborating with infrastructure teams to govern shadow AI usage.
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• Lead AI literacy and enablement across Digital and the wider business.
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• Mentor and uplift the Automation Practice team to diffuse AI capability and support transition to a permanent in-house AI Engineering Manager.
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• Represent the Automation & AI Practice in cross-functional forums, translating AI strategy into delivery roadmaps and measurable outcomes.
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Skills & Experience Required

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• Deep, hands-on technical leadership experience at Principal/Lead level.
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• Strong expertise in Generative AI, LLMs, agentic architectures, and multi-agent systems with proven production delivery in regulated environments (FS preferred).
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• Proven experience building agentic solutions using Microsoft Copilot Studio/Foundry, AWS Bedrock/AgentCore, and frameworks such as LangChain, LangGraph, CrewAI, Strands.
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• Comfortable across Microsoft and AWS cloud ecosystems, including LLM gateway/Bedrock patterns, data residency, SSO/OIDC federation, and cost controls.
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• Experience with Claude/Anthropic, OpenAI, Microsoft Copilot families, including MCP, connectors, skills, and trade-offs.
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• Strong understanding of AI testing disciplines (accuracy, hallucination, bias, prompt evaluations) and AI governance/risk (DPIA, data classification, FCA considerations).
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• Excellent stakeholder management skills, able to engage from board-level to engineer-level.
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• Mentorship and capability-building mindset to strengthen the team and avoid key-person dependency.
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Initial Areas of Focus & Benefits

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• Sierra PoC – enhancing client NPS, helpdesk demand deflection, and colleague efficiencies.
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• Claude Roll-out – boosting colleague productivity.
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• AI Enablement – improving AI literacy and adoption across the business.
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• AI Citizen Development Framework – accelerating solution time to market and reducing digital dependency.
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• Copilot Continuous Improvement – driving ongoing colleague productivity gains.
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If you are a visionary AI leader ready to shape the AI future and build sustainable, scalable AI capabilities, we want to hear from you.