Senior AI Enablement Engineer – Drive AI Engineering

Jackalope Digital LLC

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

9 days ago

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Benefits offered by this job

Competitive salary
Share options package - all our teeth?
Private healthcare
Company pension incl. salary sacrifice
25 days annual leave + 5 day shutdown
Enhanced parental leave - adoption &_f
Yellownest Salary Sacrifice Nursery
Bike to work scheme
Training budget
Weekly catch‑ups & monthly development
Lots of fun social activities!

Job summary

Skin Analytics seeks a Senior AI Enablement Engineer to transform how we build software with AI-driven automation and agentic workflows. You will enable engineers, collaborate with Product and Platform teams, and shape the engineering operating model for scalable AI delivery.

You will lead adoption, coach engineers, and define standards for AI tooling, metrics, and governance while delivering high-quality AI-enabled software across the lifecycle.

Qualifications

  • Senior AI engineering experience with agentic workflows.
  • Proven leadership and stakeholder influence across engineering teams.
  • Hands-on software engineering with production systems.
  • Experience with modern AI tooling and governance.
  • Strong communication and mentoring skills.

Responsibilities

  • Lead adoption of AI-enabled engineering practices across the organisation.
  • Identify opportunities to automate software delivery using AI.
  • Design and implement AI-enabled workflows across the lifecycle.
  • Coach and mentor engineers in AI tooling.
  • Establish metrics to measure AI tooling impact.
  • Build and maintain internal AI agents and automation solutions.
  • Evaluate and implement emerging AI tools.
  • Shape Skin Analytics’ AI strategy with leadership.

Skills

Leadership
Communication
Mentoring
Team collaboration

Tools

Claude Code
Codex
Gemini
Cursor
Windsurf
AWS
CI/CD

Job description

Skin Analytics seeks a Senior AI Enablement Engineer to transform how we build software with AI-driven automation and agentic workflows. You will enable engineers, collaborate with Product and Platform teams, and shape the engineering operating model for scalable AI delivery.

You will lead adoption, coach engineers, and define standards for AI tooling, metrics, and governance while delivering high-quality AI-enabled software across the lifecycle.

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