AI Enablement Engineer

Salary: £29,000 - 61,000 per year

Requirements:

• Strong ability to influence technical and non-technical stakeholders.
• Experience driving engineering transformation initiatives.
• Strong coaching and mentoring skills.
• Excellent communication and presentation abilities.
• Comfortable working across multiple teams and disciplines.
• Extensive hands-on experience with modern AI engineering tools such as Claude Code, Codex, Gemini, Cursor, Windsurf, or equivalent.
• Experience designing and implementing agentic workflows into software delivery processes.
• Deep understanding of prompt engineering, context management, and agent orchestration techniques.
• Experience evaluating AI tooling and measuring productivity outcomes.
• Understanding of AI governance, security, and risk management considerations.
• Strong software engineering background with significant experience building production systems.
• Experience with JavaScript, TypeScript, Node.js, cloud platforms such as AWS, and Git-based development workflows.
• Understanding of software architecture and system design.
• Experience working within CI/CD environments.

Responsibilities:

• Lead the adoption of AI-assisted engineering practices across the organisation.
• Identify opportunities to automate software delivery processes using AI and agentic tooling.
• Design and implement AI-enabled workflows covering requirements, design, implementation, testing, documentation, deployment, and support.
• Act as the subject matter expert for AI-assisted software engineering.
• Create standards, patterns, and best practices for the use of AI within Engineering.
• Partner with Engineering Managers and Senior Engineers to improve team productivity and effectiveness while maintaining quality and regulatory compliance.
• Coach, mentor, and train engineers in the practical use of AI tooling.
• Establish metrics to measure the impact of AI tooling and automation initiatives.
• Build and maintain internal AI agents and automation solutions, integrating capabilities into our platforms and workflows.
• Evaluate and implement emerging AI tools and technologies.
• Develop reusable prompts, workflows, agent architectures, and engineering accelerators.
• Work closely with Platform, DevOps, and Security teams to ensure safe and scalable adoption.
• Help shape our AI strategy across Engineering and the wider business.
• Evaluate emerging technologies and identify opportunities for competitive advantage.
• Work with leadership to prioritise AI initiatives based on business impact.
• Support the wider organisation in understanding how AI can improve operational efficiency.

Technologies:

• AI
• AI Agents
• AWS
• CI/CD
• Claude Code
• Cloud
• Cursor
• DevOps
• Git
• Support
• JavaScript
• Security
• TypeScript
• Windsurf
• NodeJS

More:

We are Skin Analytics, an award-winning health tech company on a mission to build a future where no one dies from skin cancer. We deploy world-leading skin cancer pathways using AI as a medical device, DERM, and after recent series B funding, regulatory milestones, and growth from 50 to 100 headcount in 2025, we are scaling internationally. Our DERM platform is the only AI as a medical device approved to make autonomous clinical decisions in the cancer space and the first to receive a NICE recommendation for use across the NHS, with deployments across more than 28 NHS organisations and collaborations with major health insurers. This is a senior, hands-on role based in London, within our Technology Engineering team, offering a competitive salary, share options, private healthcare, pension, 25 days annual leave plus bank holidays and an August shutdown, enhanced parental leave, nursery and bike-to-work schemes, a training budget, regular development catch-ups, and social activities. We are committed to diversity, equal opportunities, and an inclusive hiring process.

last updated 35 week of 2026