AI Ops Platform Engineer
GBP 84K-115K (estimate) Senior-level Full Time
Tasks
- Apply observability and reliability practices
- Deploy and monitor models prompts and agents
- Enforce technology standards
- Ensure audit ready traceability
- Facilitate peer reviews
- Implement governance guardrails and policy as code
- Implement testing practices
- Improve engineering processes and tools
- Lead engineering teams
- Mentor and support team members
- Monitor latency cost quality and failure modes
- Operationalize AI end to end
- Optimize AI cost and performance
- Oversee delivery timelines and risks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AgentOps | Amazon Bedrock | Amazon S3 | Auditability | CI/CD | Caching | CloudWatch | Cost Optimization | Data Pipelines | Faiss | Guardrails | LLMOps | Latency optimization | Microservices | Model Monitoring | Model Risk Management | Model risk | Observability | OpenSearch | OpenTelemetry | Policy-as-Code | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Risk Management | Risk controls | Secure APIs | Service Level | Service level monitoring | Token usage | Vector Databases | “as-code”
Education
N/A
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