Artificial Intelligence Engineer
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AI Engineer (MS Stack)
Hybrid Working – London – 2 days a week on site.
Financial Services
Lorien's leading banking client is looking for an AI Engineer with strong experience across the Microsoft AI stack, supporting a wave of AI innovation, solution design and capability uplift across the business.
You’ll act as a flexible, hands‑on technical specialist who can plug gaps, drive early-stage delivery, and accelerate our roadmap across Azure AI Foundry, M365 agents, Copilot extensibility and broader Microsoft tooling.
This role suits someone who is highly autonomous, delivery‑focused, and capable of handling a wide mix of early-stage engineering, documentation, prototyping and solution shaping
This role is based in London.
This role will be Via Umbrella.
Working in a Hybrid Model of 2 days a week on site.
What You’ll Be Doing:
AI Engineering & Build
- Designing and building AI solutions using:
- Azure AI Foundry
- M365 Agents
- Copilot extensions / plugins
Innovation & Pilot Delivery
- Driving innovation pilots, PoCs and early discovery work across the business.
- Working alongside internal engineers and external partners to fill capability gaps and accelerate delivery.
- Acting as an SME in the Foundry space, advising on design patterns, feasibility and technical constraints.
Technical Ownership
- Producing clear solution design, documentation and reusable patterns.
- Helping shape IP, frameworks and technical assets that can be scaled beyond the contract period.
- Supporting teams who are still early in their AI maturity — translating concepts into workable, pragmatic solutions.
Key Skills and Experience:
Technical Skills
- Strong engineering background with Python
AI Expertise
- Solid understanding of modern AI concepts and patterns developed over the last few years.
- Experience in LLM orchestration, agent frameworks, prompt engineering and real‑world delivery.
- An “eye for making it work” — practical, production‑focused engineering.
Ways of Working
- Able to step into an environment that is “a million miles off the mark” and bring clarity to solution design.
- Comfortable bridging gaps between technology and business-facing stakeholders.
- Strong documentation, communication and design thinking skills.
Ethical & Responsible AI
- Awareness of responsible AI principles and ability to embed guardrails into design and engineering decisions.
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