Client-facing R&D Generative AI Architect
London, England, United Kingdom
GBP 80K-95K (estimate) Senior-level Full Time
Tasks
- Advise C suite stakeholders on AI opportunities
- Architect generative and agentic AI systems
- Design RAG based solutions
- Ensure responsible AI and software engineering best practices
- Facilitate client AI strategy workshops
- Implement MLOps and LLMOps pipelines
- Lead end-to-end AI project delivery
- Mentor data scientists and AI engineers
- Oversee deployment of scalable AI systems
- Stay current with generative AI research and tools
Perks/Benefits
- Cycle scheme
- Income protection insurance
- Learning initiatives
- Pension
- Private healthcare
- Professional development opportunities
- Seminars and workshops
Skills/Tech-stack
AWS | Agent planning | Agent systems | Agile | Autogen | Azure | CI/CD | Chroma | CrewAI | Data Generation | Embeddings | Event Driven | Event-driven architecture | Faiss | Fine Tuning | GCP | Graph Databases | Graph RAG | Graph reasoning | Hugging Face | Hugging Face Transformers | Information Retrieval | Knowledge graph | Knowledge graph reasoning | Knowledge graphs | LLMOps | Langchain | Langfuse | Langgraph | Llamaindex | MLOps | Microservices | Model Evaluation | Multi-Agent | Multi-Agent Systems | NLTK | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | Spacy | Synthetic Data Generation | Synthetic data | Tool use | Tool-use integration | Vector Databases | Weaviate
Education
Roles
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