AI Platform Architect
London, United Kingdom
GBP 90K-120K (estimate) Senior-level Full Time
Tasks
- Build and operate LLM platform in production
- Create reusable platform templates and documentation
- Defend against prompt injection
- Define AI Platform strategy
- Deploy and scale containerized services
- Design and deploy RAG ingestion pipelines
- Enable non engineers to ship AI workflows
- Implement AI gateway policy enforcement and rate limiting
- Implement model routing and cost tracking
- Implement security and governance controls
- Integrate with Atlassian
- Integrate with Databricks
- Integrate with Slack
- Manage secrets and access controls
- Monitor uptime incidents and security posture
- Operate on call for platform health
- Select and deploy workflow orchestration platforms
- Set up audit logging and human in the loop rules
- Set up tracing and evaluation for LLM systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Keys | AWS | Agent Frameworks | Arize | Audit Logging | Databricks | Docker | Embeddings | Human-in-the-loop | IAM | Injection Defense | Kubernetes | LLM | LLM Evaluation | Langsmith | Least Privilege | MCP servers | MLflow | Model routing | Networking | Observability | OpenTelemetry | Prompt injection | Prompt injection defense | Python | RAG | Rate Limiting | Secrets management | The Loop | Tracing | TypeScript | VPC | Vector Databases | Weights and Biases | Workflow Orchestration
Education
N/A
Roles
AI | AI Platform Architect | Architect | DevOps | DevOps Engineer | Engineer | Platform Architect | Platform Engineer | Senior Platform Engineer
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