Enterprise AI/LLM Architect

scc • United Kingdom
Remote
Apply
AI Summary

Lead the design and delivery of enterprise-scale generative AI solutions using AWS Bedrock and multi-model orchestration. Define and enforce AI governance frameworks and lead model lifecycle management. Collaborate with engineering, security, data, and product teams to embed AI solutions into existing platforms.

Key Highlights
Design and own end-to-end AI and LLM architectures
Implement and optimize multi-LLM routing strategies
Define and enforce AI governance frameworks
Key Responsibilities
Design and own end-to-end AI and LLM architectures
Implement and optimize multi-LLM routing strategies
Define and enforce AI governance frameworks
Lead model lifecycle management
Establish and mature LLMOps/MLOps practices
Collaborate with engineering, security, data, and product teams
Technical Skills Required
AWS Bedrock Multi-model AI architectures Claude OpenAI APIs Open-source LLMs RAG architectures Embeddings Vector databases LLMOps CI/CD for models Monitoring Observability Cost optimisation
Benefits & Perks
Remote work
Contract position

Job Description


AI/LLM Architect - 6 Month Contract - Remote - SCC Flex Contract


We are recruiting an experienced AI/LLM Architect to lead the design and delivery of enterprise-scale generative AI solutions. This is a high-impact contract for an AI/LLM Architect with deep expertise in AWS Bedrock, multi-model orchestration, and AI governance, working fully remotely on a strategic AI programme.


Your responsibilities as the AI/LLM Architect:

  • Design and own end-to-end AI and LLM architectures using AWS Bedrock with multi-model orchestration.
  • Implement and optimise multi-LLM routing strategies, selecting between Claude, OpenAI, and open-source LLMs based on cost, latency, and use case.
  • Architect and deliver RAG (Retrieval-Augmented Generation) solutions using vector databases.
  • Define and enforce AI governance frameworks, including model risk management, security, and compliance.
  • Lead model lifecycle management, including experimentation, evaluation, deployment, monitoring, and retirement.
  • Establish and mature LLMOps/MLOps practices for scalable, production-grade AI systems.
  • Collaborate with engineering, security, data, and product teams to embed AI solutions into existing platforms.
  • Provide architectural leadership, documentation, and technical guidance across AI initiatives.


As a successful AI/LLM Architect, you will have:

  • Proven experience operating as an AI/LLM Architect in complex, enterprise environments.
  • Strong hands-on expertise with AWS Bedrock and multi-model AI architectures.
  • Practical experience working with Claude, OpenAI APIs, and open-source LLMs.
  • Deep understanding of RAG architectures, embeddings, and vector databases (eg Pinecone, Weaviate, OpenSearch, FAISS).
  • Demonstrable experience defining and applying AI governance and responsible AI frameworks.
  • Strong knowledge of LLMOps, CI/CD for models, monitoring, observability, and cost optimisation.
  • Excellent stakeholder communication skills and the ability to influence technical direction at senior level.


If you are an AI/LLM Architect looking for a high-value remote contract where you can shape enterprise AI architecture and governance, we'd love to hear from you. Apply today — professional references required.


NOTE: At SCC, we take the privacy and security of your information very seriously. Any information we hold will be handled in accordance with current data protection legislation. Upon submitting your application, SCC will process your information in line with our privacy policy, which can be found on our website under Legal - Privacy Notice - Flexible Resourcing.


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