AI Architect

K&K Talents is an international recruiting agency that has been providing technical resources in the European region since 1993. This position is with one of our clients in United Kingdom who is actively hiring candidates to expand their teams.

Role: AI Architect

Location: London, UK (Hybrid)

Employment type: Permanent Fulltime

Required

Experience of architecting and solutioning in Gen AI, Agentic AI, classic ML and automation space

Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/ unsupervised Model tuning, MLOps/ LLMOps pipelines, and AI observability

Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS etc.).

Experience in architecting and scaling GenAI chatbots

Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler

Design AI interventions (GenAI, Agentic AI, ML) for application support, monitoring, and business ops.

Good understanding of Responsible AI principles

Ability to design enterprise level AI/Gen AI platform/solutions with client's existing enterprise stack.

Strong articulation, stakeholder management and consulting skills

Experience working on client proposals – RFI/ RFP/ Orals stages

Experience in solution presentations to client stakeholders; conduct demos and workshops.

Experience leading team of AI/ software engineers

Experience driving productivity and cost optimisations

  • Skills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/ Langfuse, Gen AI / Agentic AI, Cloud platforms (Azure AI Foundry, AWS Sagemaker/Bedrock, GCP Vertex AI), MLOps/ LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).

Note: Applicants for employment in United Kingdom should possess work authorization which does not require sponsorship by the employer for a visa.

Job Details

Company
K&K Talents
Location
Slough, Berkshire, UK
Hybrid / Remote Options
Employment Type
Full-time
Posted