AI Ops Platform Engineer
Canary Wharf, 1 Churchill Place, United Kingdom
GBP 72K-91K (estimate) Senior-level Full Time
Tasks
- Automate releases with auditable processes
- Build RAG workflows
- Build and run AI platform
- Build data pipelines for AI workloads
- Collaborate with cross-functional stakeholders
- Deploy and monitor AI solutions
- Embed governance and observability by design
- Engineer GenAI and ML platforms
- Enhance engineering processes
- Ensure operational resilience
- Implement guardrails
- Implement policy as code governance
- Implement technology standards
- Lead engineering teams
- Mentor team members
- Monitor drift and hallucinations
- Operationalize AI model prompt and agent lifecycles
- Optimize AI costs
- Oversee timelines and task prioritization
- Perform peer reviews
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS Glue | AWS Lambda | AWS Step Functions | Agent Orchestration | Amazon Bedrock | Amazon CloudWatch | Amazon OpenSearch | Amazon OpenSearch Service | Amazon S3 | CI/CD | Cost Optimization | Drift monitoring | Faiss | Generative AI | Hallucination Monitoring | LLM | LLMOps | MLOps | Machine Learning | Microservices | Model Deployment | Model Monitoring | Model risk | Model risk governance | Observability | OpenSearch Service | OpenTelemetry | Policy-as-Code | Production Monitoring | Prompt engineering | Python | Retrieval-Augmented Generation | Risk governance | SRE | Secure services | Step Functions | Structured evaluation | Token optimization | Vector Database | “as-code”
Education
N/A
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