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AI Architect
Job summary
A leading AI consultancy in the UK seeks an experienced AI Architect to design and implement enterprise-grade AI solutions. This role involves bridging strategy, data science, and engineering, while ensuring responsible AI adoption. The ideal candidate will have over 8 years of experience in AI/ML engineering and a strong background in Generative AI. Competitive compensation and flexibility offered.
Benefits
Qualifications
- 8+ years in AI/ML engineering, data science or AI architecture.
- Hands-on experience with LLMs, Generative AI, ML pipelines, and cloud platforms.
- Experience in regulated or complex enterprise environments is a plus.
Responsibilities
- Architect end-to-end AI solutions.
- Lead GenAI/LLM prototypes and production-ready implementations.
- Ensure governance, security, model risk management, and responsible AI.
Skills
Education
Tools
AI Architect
Location: UK (flexible)
This organisation helps organisations adopt and scale Generative AI, from strategy through to delivery. It focuses on practical, business-first AI that drives measurable impact and responsible adoption.
We’re looking for an AI Architect to design and lead enterprise‑grade AI and GenAI solutions for our clients. You’ll bridge strategy, data science, engineering and governance to deliver scalable, high-impact AI systems.
- Architect end‑to‑end AI solutions (data pipelines, models, deployment, monitoring).
- Lead GenAI/LLM prototypes and production‑ready implementations.
- Translate business problems into technical architectures and delivery plans.
- Ensure governance, security, model risk management and responsible AI.
- Collaborate with strategy, engineering, and client teams to drive adoption.
- Stay current with emerging AI/LLM technologies and bring innovation into client work.
- MSc/PhD in AI, Data Science, Computer Science or similar.
- 8+ years in AI/ML engineering, data science or AI architecture.
- Hands‑on experience with LLMs, Generative AI, ML pipelines and cloud platforms (Azure preferred).
- Strong Python and ML engineering skills.
- Excellent communication and stakeholder management abilities.
- Experience in regulated or complex enterprise environments is a plus.
- Passion for ethical, safe and responsible AI.
- Work on impactful AI transformation projects with major organisations.
- Fast‑growing, AI‑native consultancy culture.
- Flexibility, autonomy and opportunities to drive innovation.
- Competitive compensation.
If you wish to learn more please contact Jack @jharding@weareninetwenty.com
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.