
Gen AI Solution Architect
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Tech Stack
About the role
- Lead the design and delivery of enterprise‑grade Generative AI solutions across business functions.
- Define end‑to‑end GenAI architectures using LLMs, multimodal models, embeddings, and RAG frameworks.
- Architect scalable cloud‑native GenAI pipelines covering inference, fine‑tuning, hosting, and MLOps.
- Design vector search systems using leading vector databases such as Pinecone, FAISS, Chroma, and Weaviate.
- Drive PoCs, pilots, and production rollouts while selecting the right LLMs for each use case.
- Oversee integration of GenAI solutions with APIs, microservices, and enterprise data platforms.
- Ensure AI governance, responsible AI practices, privacy compliance, and secure data access patterns.
- Collaborate with product, engineering, and data teams to translate business needs into AI value.
Requirements
- 10+ years in technology with 4+ years in AI/ML or architecture roles.
- Strong knowledge of GenAI frameworks such as LangChain, LlamaIndex, and Haystack.
- Hands‑on experience with LLM fine‑tuning, prompt engineering, RLHF, and RAG architectures.
- Expertise in Python, API design, microservices, and cloud‑native solution patterns.
- Practical experience with MLOps platforms: MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML.
- Deep understanding of vector databases and embedding models.
- Strong documentation, architectural design, and solution governance capabilities.
- Bonus strengths: enterprise architecture frameworks, Kubernetes, regulated‑industry AI deployments, and hallucination mitigation techniques.
Benefits
- Employee wellbeing is vitally important to us as an organisation.
- We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
- To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas.
- We have invested in wellbeing apps such as Thrive and Peppy.
- You will be empowered to explore, innovate, and progress.
- You will benefit from Capgemini’s ‘learning for life’ mindset.
- Meaning you will have countless training and development opportunities from thinktanks to hackathons.
- Access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
- You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Generative AILLMsmultimodal modelsembeddingsRAG frameworksMLOpsPythonAPI designmicroservicesvector databases
Soft Skills
architectural designsolution governancecollaborationdocumentation