AI Platform Engineer

Opus Resourcing Ltd
London, UK
1 day ago
Apply on www.careerboard.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£90,000.0 - £120,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Bash Shell Continuous Integration DevOps Github Python (Programming Language) Key Management Octopus Deploy Windows PowerShell
+20 more
Reliability Engineering Site Reliability Engineering Practices Ansible Prometheus Software Engineering AI Infrastructure Datadog Policy as Code Data Logging Cloud Platform System Grafana AI Platforms Gitlab-ci Git Flow Kubernetes Terraform Splunk Docker Jenkins Golang

Job description

  • 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.

Requirements

  • 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 environments
  • Strong 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

Benefits & conditions

London - £90k - 120k per annum, Benefits: Benefits + Bonus Full Time Posted by: Opus Resourcing Ltd Posted: Saturday, 5 September 2026 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)

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerboard.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:43 min

Platform engineering as the foundation for scaling AI tools

Julia Kordick Julia Kordick · World Congress 2026 Europe

1:08 min

Building solutions with open source GoLang infrastructure tools

Jad Wahab · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

6:16 min

Event-driven Golang backend architecture and cloud deployment

Irina Branovic Irina Branovic · World Congress 2026 Europe

Videos

See all

Related articles

See all