Summary
✨ AI‑Generated
A senior platform engineering opportunity focused on building self-service developer tooling, CI/CD, infrastructure automation, and observability for both conventional software and AI workloads. The role combines cloud engineering and reliability practices with emerging AI infrastructure concepts such as RAG, model gateways, evaluations, and agent systems.
Highlights
Build a new internal developer platform supporting both conventional applications and modern AI workloads, with strong emphasis on automation, reliability, observability, and engineering standards.
Description
AI Platform Engineer is required to join a new Platform Engineering team as part of a major technology and AI transformation at one of the largest and most prestigious U.S.
and global law firms.
You’ll help build the internal developer platform, self-service tooling, CI/CD, infrastructure-as-code, cloud automation, and observability capabilities that will support both traditional applications and modern AI workloads, involving reliability standards to AI workloads, while recognising where AI demands different primitives such as evaluations, non-deterministic failure handling, token economics, and confidentiality controls.
Hybrid role based in London.
Salary £90-120k + Bens + Bonus (on-call is required)
Key skills required for the AI Platform Engineer
Senior-level Platform Engineering, DevOps, SRE, infrastructure, or software engineering.Exposure to AI / GenAI infrastructure, including retrieval/RAG, model gateways, evaluation frameworks, or agent-based systems, is highly advantageous.Experience working in regulated environmentsStrong production coding skills in Go and Python, plus Bash and/or PowerShell.CI/CD experience with GitHub Actions, Azure DevOps, GitLab CI, or Jenkins.Strong Infrastructure as Code experience with Terraform, plus Helm, Ansible, or similar.Hands-on experience with AWS and/or Azure, Kubernetes, and Docker.Experience with GitOps, ideally Argo CD or Flux.Familiarity with observability tooling such as Prometheus, Grafana, Datadog, Splunk, ELK, or OpenTelemetry.Understanding of platform security, secrets management, policy-as-code, and SRE practices.Experience working in Legal, professional services, or finance with complex enterprise systems
What you’ll do as a AI Platform Engineer
Build reusable self-service tooling, APIs, CLIs, libraries, and platform services.Develop and maintain CI/CD pipelines and automated quality gates.Build modular cloud and Kubernetes infrastructure using Terraform and Helm.Support workloads across AWS, Azure, Kubernetes, and GitOps environments.Help build platform services for AI workloads including model inference, retrieval, orchestration, and evaluation.Implement monitoring, tracing, logging, and alerting across traditional and GenAI services.Participate in incident response and contribute to continuous reliability improvements.Automate security, operational, and developer workflows.
Why this role?
This is an opportunity to join a new engineering function at the start of a major technology transformation, with real scope to influence how platform engineering, cloud, developer experience, and AI infrastructure are built across a global organization.
You’ll work with technologies including Go, Python, Terraform, Kubernetes, AWS, Azure, GitHub Actions, GitOps, OpenTelemetry, and GenAI platforms, while gaining increasing end-to-end ownership as the team grows.
Opus Resourcing acts as an employment agency with respect to permanent employment.
📩 Apply now or message us for more details.
Referrals always welcome!
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