AI Enablement Engineer

In this role you enable AI across the company by building and operating the infrastructure and platforms that support production AI. You work with Engineering and citizen AI users to balance risk and speed, delivering scalable, secure solutions. You will design, deploy, and maintain AI infrastructure, model access, and developer tooling, guiding teams from prototype to reliable production. The position sits in the IT department at a 300-person company, with a London office footprint in Soho, and offers hands-on impact across technical and business domains.

• 25 days holiday + bank holidays
• Pension scheme & Life Assurance
• Health cash plan & Medical Insurance
• Season ticket loan
• Company social events
• Personal Annual Development Time (PATD)

• Enable and accelerate AI adoption across the company, focusing on Engineering and citizen AI users
• Design, deploy and maintain AI infrastructure, model access, gateways, agent frameworks, and shared services
• Establish reference architectures, best practices, and reusable patterns for AI including prompts, observability, and cost management
• Build, deploy and operate AI agents and agentic workflows from prototype to production
• Evaluate new models, tools and vendors and provide evidence-based recommendations
• Share knowledge via documentation, workshops, demos, and hands-on support
• Deploy and manage AI infrastructure in the cloud prioritizing reliability, scalability and cost efficiency
• Tune model serving for available hardware, including self-hosted inference (e.g., vLLM)
• Maintain data pipelines and contribute to lakehouse architecture for retrieval, analytics and evaluation
• Apply software engineering practices (IaC, CI/CD, monitoring, documentation) to AI systems
• Collaborate with GRC and Legal to translate AI policy into technical controls
• Support and coach citizen AI users and promote safe-use guidance
• Contribute to AI awareness and training across the company

• Proven track record in AI/ML engineering, platform engineering, or similar role with production AI experience
• Hands-on experience with AI agents and LLM-based applications in production
• Strong cloud platform experience (GCP or AWS)
• Proficiency in Python
• CI/CD and automation expertise, including IaC and version control
• Data engineering experience (ELT, data lakes, data modeling)
• Security-minded approach balancing risk and velocity
• Strong communication skills for non-specialists and cross-team collaboration
• Pragmatic, proactive, autonomous mindset in fast-moving environments
• Genuine interest in technology and AI

• communication
• collaboration
• problem-solving
• Python
• Cloud platforms (GCP/AWS)
• CI/CD