Lead AI Engineer (Enterprise | Greenfield AI)
Location: UK (Remote-first)
Travel: Regular on-site collaboration initially (weekly for the first couple of months), then approx. one in-person session every two weeks
Salary: Up to £65,000 + benefits
We’re hiring a hands-on Lead AI Engineer to take technical ownership of greenfield AI use cases in an enterprise environment.
This is a pure individual contributor role with no line management, no programme ownership. You’ll be responsible for designing, building, deploying, and iterating AI systems that are actually used by the business.
The emphasis is on real delivery: shipping AI into production, monitoring performance and safety, and improving outcomes over time based on adoption and impact.
What You’ll Do
* Own AI use cases end-to-end: design → build → deploy → monitor → iterate
* Build AI systems that work with enterprise data, including LLM-based and agentic workflows
* Define and track success metrics for AI use cases, focusing on adoption and business impact
* Implement monitoring, evaluation, and safety controls for live AI systems
* Work closely with business stakeholders to ensure AI solutions are trusted, usable, and valuable
* Operate in a largely greenfield environment, shaping patterns and best practices as you go
The Tech Environment
The team is platform-flexible. Experience with one or more of the following is relevant:
* Enterprise data & AI platforms (e.g. Databricks, Microsoft Fabric, Azure AI services, or comparable)
* LLM-based systems (RAG, agentic workflows, prompt engineering, evaluation)
* Python and SQL in production environments
* AI monitoring, evaluation, and lifecycle management
Low-code or assisted AI tooling is absolutely fine — what matters is a solid understanding of how AI systems actually work, including their risks and limitations.
What We’re Looking For
* Strong hands-on experience delivering AI solutions into production
* A solid grasp of AI fundamentals, safety, monitoring, and evaluation
* Comfortable owning outcomes rather than just building prototypes
* Able to explain AI behaviour and limitations to non-technical stakeholders
* Happy in a senior individual contributor role, focused on impact rather than hierarchy
What This Role Is Not
* Not a people management role
* Not an AI strategy or architecture-only position
* Not a research-only or POC-only role
1. This role is for someone who enjoys building, shipping, and improving AI systems that matter.
Why Join
* Genuine greenfield AI work with real ownership
* Clear success measures based on impact, not slide decks
* Supportive, delivery-focused environment
* Remote-first with meaningful in-person collaboration
If you’re an AI engineer who enjoys turning ideas into working systems, understands the responsibility that comes with deploying AI, and wants to focus on delivery rather than titles we’d love to hear from you.
How to apply:
If this role looks like it is for you, please send your CV to Kris Kobi: kris@climate17.com