Senior Enterprise AI Architect & Platform Leader

Linklaters LLP

Greater London

Vor Ort

GBP 120.000 - 180.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Private Medical Insurance
In-house gym
Pension plan
Life assurance
Electric car scheme
Parental leave

Zusammenfassung

Linklaters is seeking an Enterprise AI Architect to lead the design and evolution of its enterprise AI architecture, spanning generative and agentic AI, ML, and knowledge-driven platforms. You will partner across lawyers, business services, engineering, security, and risk teams to deliver secure, explainable, and cost-efficient AI solutions globally.

Reporting to the Director of Data, you will define standards for LLM selection, RAG, context graphs, and MLOps, ensuring scalable, governable AI

Qualifikationen

  • 10+ years in enterprise architecture, with 3+ years delivering production Generative AI and Agentic AI at scale (preferably on Azure).
  • Deep hands-on expertise with LLM architectures and foundation models, model selection, fine-tuning, distillation and evaluation.
  • Proven experience designing RAG and agentic architectures, vector databases, embeddings, hybrid retrieval, multi-agent frameworks, MCP, and orchestration patterns.
  • Strong understanding of knowledge graphs and context graphs, LLMOps/MLOps tooling, model evaluation and prompt management.
  • Security, Responsible AI, guardrails, prompt injection defenses, and alignment with regulatory frameworks.

Aufgaben

  • Define and execute the firm’s AI architecture vision, strategy, and roadmap.
  • Shape AI strategy and architectural direction with stakeholders across the firm.
  • Design and maintain enterprise AI reference architecture, patterns, guardrails, and blueprints.
  • Architect agentic AI systems with multi-agent orchestration and tool calling.
  • Set standards for LLM selection, routing, and orchestration across foundation models and legal AI platforms.
  • Define RAG standards, embeddings, vector stores, and retrieval approaches for legal content.
  • Architect knowledge/ context graphs to ground AI in trusted firm data.
  • Establish context engineering standards including prompts and grounding.
  • Own AI platform blueprint, MLOps/LLMOps practices, deployment, monitoring, and lifecycle management.
  • Ensure scalable, secure, reliable, and cost-efficient AI solutions integrated with data platforms and business systems.
  • Ensure compliance with data governance, model governance, privacy, and confidentiality obligations.
  • Partner with Data & AI Design Authority to embed Responsible AI principles.
  • Design controls to mitigate AI risks like prompt injection and data leakage.
  • Lead technical authority role and mentor AI engineers, data scientists, and architects.

Kenntnisse

Enterprise architecture
Generative AI
Agentic AI
LLM architectures
RAG
Knowledge graphs
LLMOps
Security & Responsible AI
Stakeholder engagement
Leadership

Tools

Azure OpenAI
Vertex AI
Pinecone
Neo4j
Microsoft GraphRAG
RDF/OWL
LangGraph
AutoGen
CrewAI

Jobbeschreibung

Linklaters is seeking an Enterprise AI Architect to lead the design and evolution of its enterprise AI architecture, spanning generative and agentic AI, ML, and knowledge-driven platforms. You will partner across lawyers, business services, engineering, security, and risk teams to deliver secure, explainable, and cost-efficient AI solutions globally.

Reporting to the Director of Data, you will define standards for LLM selection, RAG, context graphs, and MLOps, ensuring scalable, governable AI

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