AI Platform Enablement Lead

ClearRoute; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private healthcare

Home office budget

Profit sharing

Learning budgets

Udemy access

Job summary

ClearRoute is seeking a Platform Enablement Lead to harden Azure platform foundations and enable AI feature delivery across product teams. The role sits between platform engineering and product teams, building golden paths and self-service capabilities so engineers ship AI features faster with less toil.

We operate in a hybrid setup with two days onsite in London (Farringdon) and the rest remote, offering flexible working and a home office budget to support collaboration and productivity.

Qualifications

• 4+ years in platform, DevOps or infrastructure engineering, with time spent supporting other engineering teams.
• Strong hands-on cloud experience (AWS, Azure or GCP) and infrastructure-as-code (Terraform, Pulumi or similar).
• Kubernetes and containers in production, including deployment patterns, scaling and troubleshooting.
• CI/CD design and ownership (GitHub Actions, GitLab CI or similar), plus GitOps tooling such as Argo CD or Flux.
• SOLID coding skills in Python and at least one of Go or TypeScript.
• Practical experience building or integrating with LLM-based applications: provider APIs, embeddings, vector stores or RAG patterns.
• Observability fundamentals: metrics, logs and distributed tracing (OpenTelemetry, Grafana, Datadog or similar).
• A product mindset about internal platforms: you treat developers as customers and measure whether they adopt what you build.

Responsibilities

• Build golden paths for AI workloads: templates and scaffolding for new services, RAG pipelines, agents and model-backed APIs, with CI/CD, observability and security built in.
• Run the internal developer platform: maintain the developer portal (e.g. Backstage), service catalogue, self-service environments and infrastructure-as-code modules.
• Enable model access and serving: standardise how teams call LLM providers and self-hosted models through a shared gateway, with routing, rate limits, caching, cost tracking and key management.
• Make evaluation routine: integrate eval frameworks, prompt and model versioning, and regression testing into the delivery pipeline so quality is measured before release.
• Bake in guardrails: work with security to embed PII handling, prompt-injection defences, content filtering, audit logging and policy-as-code into the default path.
• Improve observability: provide tracing, token usage and latency dashboards, and cost visibility per team and per feature.
• Enable people, not just tools: write docs and runbooks, run onboarding sessions and office hours, pair with product teams, and gather feedback to shape the platform roadmap.
• Measure developer experience: track adoption, lead time and friction points, and remove the biggest blockers each quarter.

Skills

Platform Eng

Cloud experience

Kubernetes

CI/CD design

Python

LLM apps

Observability

Product mindset

Tools

Terraform

Pulumi

Backstage

Argo CD

Flux

GitHub Actions

GitLab CI

Job description

ClearRoute is seeking a Platform Enablement Lead to harden Azure platform foundations and enable AI feature delivery across product teams. The role sits between platform engineering and product teams, building golden paths and self-service capabilities so engineers ship AI features faster with less toil.

We operate in a hybrid setup with two days onsite in London (Farringdon) and the rest remote, offering flexible working and a home office budget to support collaboration and productivity.