Responsibilities
- AI Strategy & Architecture: Define and deliver enterprise AI strategies covering Generative AI, LLMs, RAG, Agentic AI and advanced machine learning.
- Pre-Sales & Business Growth: Lead technical discovery, shape enterprise proposals and RFP responses, and engage C-suite stakeholders to secure new AI opportunities.
- Practice Leadership: Build, develop and mentor high-performing AI engineering and data science teams across UK and offshore locations.
- Thought Leadership: Produce technical whitepapers, industry articles and architectural frameworks, representing the organisation at key UK technology events.
- Responsible AI & Governance: Establish best practices around AI safety, data privacy, bias mitigation and regulatory compliance, including UK GDPR and DORA.
About You
- 10+ years' experience in software, data or technology engineering, including at least 4 years leading AI/ML initiatives within consulting or enterprise environments.
- Strong technical expertise in LLMs, Generative AI, RAG, vector databases and agentic frameworks such as LangChain or AutoGen.
- Experience deploying AI solutions across AWS, Azure or GCP, with knowledge of MLOps platforms such as MLflow, Kubeflow or Databricks.
- Proven commercial experience leading enterprise AI pre-sales, winning RFPs and influencing senior C-suite stakeholders.
- Exceptional communication and leadership skills, with the ability to translate complex AI concepts into compelling business value.
The Opportunity
Join an ambitious global technology business where you'll have the platform to shape enterprise AI strategy, influence the market and build a high-performing AI practice.
Additional requirements
Existing UK right to work is essential. Immediate availability or a notice period of less than four weeks is strongly preferred.
Rate:
£600/day
Location:
Cambridge
IR35 Status:
Outside
Remote Status:
Hybrid
Industry:
AI & Machine Learning
Seniority Level:
Senior