ClearRoute
ClearRoute
51 – 200 कर्मचारी
ClearRoute को इस जॉब एग्रीगेटर पर उन उम्मीदवारों के लिए प्रस्तुत किया गया है जो कंपनी और इसके वर्तमान करियर अवसरों के बारे में जानकारी प्राप्त करना चाहते हैं। उपलब्ध भूमिकाओं और भर्ती गतिविधियों की नवीनतम जानकारी के लिए प्रोफ़ाइल देखें।

Senior AI Platform Support Lead at ClearRoute Hybrid UK

Lead production support for Azure-based agentic systems at ClearRoute, an engineering consultancy. Own observability, incident response, reliability, and platform operations for AI services.

विवरण

  • Build and lead the AI Platform support function
  • Track the health, latency, availability, and error rates of AI services, model endpoints, and related infrastructure
  • Investigate and resolve incidents such as API failures, rate limits, and declining model output quality
  • Lead root-cause investigations and document blameless post-incident reviews with corrective actions
  • Join the shared on-call rotation for production AI services
  • Create and maintain dashboards, alerts, and logging for LLM workloads
  • Track token consumption, latency, costs, and evaluation results
  • Improve deployment pipelines for models, prompts, agents, and RAG components
  • Operate vector databases, embedding workflows, and data-ingestion jobs
  • Automate recurring support activities and operational runbooks
  • Provide escalation support for AI platform issues reported by delivery teams and clients
  • Maintain runbooks, knowledge-base content, and user documentation
  • Share recurring problems and improvement opportunities with engineering and product owners
  • Support platform onboarding for new teams and clients
  • Define the technical foundations, architecture, and product direction for the broader AI and agentic programme

आवश्यकताएँ

  • At least three years of experience in platform support, SRE, DevOps, or production support for cloud-hosted services
  • Practical experience supporting applications that use LLM APIs such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or Google Vertex AI
  • Strong working knowledge of at least one major cloud platform: AWS, Azure, or GCP
  • Working proficiency with containers and orchestration tools, including Docker and Kubernetes
  • Ability to script and automate with Python plus Bash or PowerShell
  • Experience using observability tools such as Datadog, Grafana, Prometheus, CloudWatch, or Azure Monitor
  • Experience with CI/CD and infrastructure as code, including GitHub Actions, GitLab CI, or Terraform
  • Sound understanding of REST APIs, authentication, networking fundamentals, and log analysis
  • Demonstrated incident-management experience, including preparation of post-incident reviews
  • Strong written and spoken communication skills for technical and non-technical audiences
  • Experience working with RAG architectures and vector databases
  • Familiarity with agent and orchestration frameworks such as LangChain, LlamaIndex, or MCP
  • Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, Arize, or Weights & Biases
  • Experience hosting or serving open-weight models with platforms such as vLLM, Hugging Face, or SageMaker
  • Awareness of AI governance and regulation, including the EU AI Act, ISO/IEC 42001, and GDPR
  • ITIL, Kubernetes CKA/CKAD, or cloud certifications
  • Consultancy or client-facing delivery experience, preferably in regulated industries such as energy or financial services

लाभ

  • Hybrid working arrangement
  • Budget for setting up a home office
  • Flexible time off, including leave for your birthday
  • Profit-sharing scheme
  • Recognition for strong performance and contributions
  • Private healthcare
  • Confidential employee assistance covering counselling, mental health, and financial wellbeing
  • Interest-based communities, including running and book clubs
  • Women in Tech community
  • Monthly social events
  • Cross-regional company events
  • Personal learning budget
  • Access to Udemy
  • Defined career framework
  • Opportunities for internal mobility
  • Opportunities to contribute thought leadership
  • Family-friendly workplace
  • Flexibility for employees with caring responsibilities
  • Accessibility accommodations throughout the interview process

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