Senior AI Architect — Enterprise-Scale, Regulated Deployments

Experis UK

England

On-site

GBP 120,000 - 180,000

Full time

3 days ago
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Job summary

Experis UK is seeking a Lead AI Architect to drive large-scale AI and data transformation programmes within highly regulated environments. This is a hands-on leadership role focused on taking AI solutions from proof of concept through to secure, scalable, production-grade deployments.

The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills.

Qualifications

  • Proven track record delivering enterprise-scale AI/ML solutions into production.
  • Strong experience leading technical teams and complex transformation programmes.
  • Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph.
  • Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP).
  • Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments.
  • Strong understanding of AI security, governance, ethical AI, model evaluation and risk management.
  • Excellent stakeholder management skills with the ability to translate complex technical concepts into business value.

Skills

AI/ML
LLMs
Generative AI
LangChain
LangGraph
Python
PyTorch
TensorFlow
MLOps/LLMOps
Azure
AWS
GCP
AI security
Governance
Stakeholder management

Tools

LangChain
LangGraph

Job description

Experis UK is seeking a Lead AI Architect to drive large-scale AI and data transformation programmes within highly regulated environments. This is a hands-on leadership role focused on taking AI solutions from proof of concept through to secure, scalable, production-grade deployments.

The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills.

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