Principal AI Engineer
Manchester, United Kingdom
GBP 78K-100K (estimate) Senior-level Full Time
Tasks
- Champion responsible AI and ethics
- Define AI engineering strategy
- Design multi provider AI platforms
- Design vector search integration
- Develop agentic AI systems design
- Ensure AI compliance and risk alignment
- Ensure AI observability
- Establish API first design
- Implement orchestration layer design
- Integrate AI into enterprise systems
- Lead AI testing and validation
- Lead enterprise AI solution design
- Manage model lifecycle management
- Mentor senior engineers
- Minimize vendor lock in
- Operationalize AI platforms
- Oversee AI platform delivery
- Provide technical leadership for AI workloads
- Set AI engineering governance
Perks/Benefits
Skills/Tech-stack
AI Ops | API Design | Access Management | Azure Infrastructure | Azure OpenAI | Azure OpenAI Service | AzureML | CI/CD | Computer Vision | Containerization | Databricks | Distributed Systems | Docker | Governance | Identity and Access Management | Identity and access | Infrastructure as Code | Kubernetes | Langchain | Language Models | Large Language Models | Microservices | Model Monitoring | NLP | Networking | Observability | OpenAI Service | Orchestration | Python | RAG | Security Architecture | Vector Search | “as-code”
Education
N/A
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