Lorien
Artificial Intelligence Engineer
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Artificial Intelligence Engineer
AI Solutions Engineer / Applied AI Engineer
Location: London (Remote with occasional travel for team meetings or collaboration)
Contract: Permanent
The AI Solutions Engineer / Applied AI Engineer role is primarily remote, with minimal in-person travel expected. The business does not require candidates whose commutes are impractical or unnecessarily expensive given the team’s already distributed UK presence.
Key Criteria
The ideal candidate will be:
- Versed in AI-native engineering practices
- Experienced in software engineering
- Proficient with Databricks and Python
- Capable of demonstrating functional empathy and stakeholder engagement
- Owning solutions and ensuring quality
This role seeks engineers who are not just deeply technical but also excellent communicators and stakeholder partners.
The Role
Unlike traditional AI engineers who focus on core technical work, this role emphasises problem-solving and business impact. You’ll collaborate directly with departments like Finance, HR, Sales, and Marketing to streamline processes, eliminate friction, and improve daily operations through AI, automation, and lightweight internal applications.
- You don’t need expertise in every tool or platform from day one—what matters most is your ability to learn quickly and transform ambiguity into actionable results.
- This is a high-impact role where understanding workflows and assumptions is just as important as execution.
- You’ll thrive if you’re curious, pragmatic, and comfortable working closely with stakeholders—not just managing isolated workstreams.
Your Impact
As an AI Solutions Engineer, you’ll act as a consultant, builder, and problem-solver. Your work will include:
- Diagnosing operational challenges, inefficient workflows, or fragmented tools.
- Identifying opportunities where AI, automation, or custom applications can create immediate value.
- Delivering practical solutions quickly, gathering early feedback, and iterating based on real-world adoption.
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Key areas of focus: ✔ Internal tool development (workflow automation, AI-powered assistants). ✔ Problem-solving in Finance, HR, Sales, and Marketing. ✔ Eliminating friction in decision-making through automation and clearer information flows. ✔ Bridging the gap between AI and business needs—not just technical implementation.
You’ll operate within a Databricks and AI-enabled environment, leveraging AI tools (e.g. coding assistants, agent-based workflows) to speed up development while ensuring quality, usability, and adoption. Additionally, you’ll collaborate with Platform, Data, and Engineering teams to ensure scalability and security.
Responsibilities
You’ll be responsible for:
- Partnering with business stakeholders to uncover operational pain points and inefficiencies.
- Translating business needs into AI-powered solutions, automations, and lightweight applications.
- Building productivity-boosting tools for fast-paced teams.
- Using AI-native workflows to accelerate development without compromising quality.
- Continuously refining solutions based on user feedback and adoption metrics.
- Preventing "digitisation of existing inefficiencies"—ensuring tools genuinely improve workflows.
- Working across Finance, HR, Commercial, and leadership teams on high-priority initiatives.
- Balancing speed and quality with pragmatic engineering decisions.
- Introducing smarter workflows through automation, AI agents, and integrated internal tools.
- Guiding responsible AI adoption across the organisation.
- Sharing best practices to help teams operate faster and more effectively.
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Who You Are
The ideal candidate combines technical curiosity with business acumen and strong collaboration skills.
- You enjoy solving complex, real-world problems—not just abstract technical challenges.
- You’re comfortable working with ambiguity and don’t wait for perfect requirements before starting.
- You rapidly learn new technologies and adapt to evolving business needs.
- AI feels like a tool, not a barrier—you see its practical applications in solving problems.
- You thrive in collaborative environments, translating technical concepts for non-technical stakeholders.
- Results matter more than process—you enjoy delivering usable solutions and improving them through user feedback.
- You’re pragmatic, constructive, and prefer simplicity over unnecessary complexity.
Why This Role Stands Out
This is not a traditional engineering role. Unlike standard coordination, you’ll:
⚡ Work closely with decision-makers (Finance, HR, leadership). ⚡ Shape how AI is implemented across an international organisation. ⚡ Combine engineering, consulting, problem-solving, and business collaboration in one. ⚡ Operate in a fast-paced, innovation-driven environment with tangible business impact. ⚡ Have broad exposure and direct influence on modern AI implementations.
If you thrive on practical innovation and think AI can truly transform business operations, this role offers an exceptional opportunity to drive real change.
(Note: The focus remains on collaboration, rapid delivery, and business impact—not just technical execution.)
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